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1. Latent Hydraulic Effect of Ground Granulated Blast Furnace Slag on the Strength Development of Stabilized Peat

Author: Wong, Leong Sing, Alhaddad, Hasan Omar Ali, Bakri, Raed Saleh Ali Ba, Haider, Hattan Ahmed Ahmed, Oweida, Ahmed Farid Mahmoud, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Çiner, Attila, editor, Ergüler, Zeynal Abiddin, editor, Bezzeghoud, Mourad, editor, Ustuner, Mustafa, editor, Eshagh, Mehdi, editor, El-Askary, Hesham, editor, Biswas, Arkoprovo, editor, Gasperini, Luca, editor, Hinzen, Klaus-Günter, editor, Karakus, Murat, editor, Comina, Cesare, editor, Karrech, Ali, editor, Polonia, Alina, editor, and Chaminé, Helder I., editor
Published: 2024
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2. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, M, Roth, GA, Aravkin, AY, Zheng, P, Abate, KH, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasi, MA, Abbasian, M, Abbasifard, M, Moradi, Y, Bensenor, IM, Benzian, H, Beran, A, Abouzid, M, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Moraga, P, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Aboye, GB, Bhat, AN, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Morawska, L, Bhatti, R, Bhuiyan, MA, Bhutta, ZA, Bikbov, B, Bishai, JD, Abreu, LG, Bisignano, C, Biswas, A, Biswas, B, Biswas, RK, Moreira, RS, Bjørge, T, Boachie, MK, Boakye, H, Bockarie, MJ, Bodolica, V, Bodunrin, AO, Abualruz, H, Bogale, EK, Bolla, SR, Boloor, A, Morovatdar, N, Bonakdar Hashemi, M, Boppana, SH, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Abubakar, B, Bourne, R, Boxe, C, Morrison, SD, Braithwaite, D, Brant, LC, Brar, A, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Britton, G, Abu-Gharbieh, E, Brown, CS, Morze, J, Browne, AJ, Brunoni, AR, Bryazka, D, Bulamu, NB, Bulto, LN, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Abukhadijah, HJJ, Mosaddeghi Heris, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Cagney, J, Cahuana-Hurtado, L, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Mossialos, E, Aburuz, S, Cao, C, Cao, F, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Motappa, R, Carvalho, F, Abu-Zaid, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Caye, A, Alemayohu, MA, Ali, BA, Cederroth, CR, Cegolon, L, Adane, MM, Cenderadewi, M, Cercy, KM, Cerin, E, Chadwick, J, Chakraborty, C, Chakraborty, PA, Chakraborty, S, Mougin, V, Chan, JSK, Chan, RNC, Chandan, JS, Addo, IY, Chandika, RM, Chaturvedi, P, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Mousavi, P, Chen, M, Chen, S, Cheng, C-Y, Cheng, ETW, Addolorato, G, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Msherghi, A, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Adedoyin, RA, Chopra, H, Chowdhury, R, Christopher, DJ, Chu, D-T, Mubarik, S, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cioffi, I, Cogen, RM, Adekanmbi, V, Cohen, AJ, Columbus, A, Conde, J, Muccioli, L, Corlateanu, A, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Criqui, MH, Cruz, JA, Aden, B, Cruz-Martins, N, Culbreth, GT, Mueller, UO, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Daikwo, PU, Dalli, LL, Damiani, G, D'Amico, E, Adetunji, JB, D'Anna, L, Mulita, F, Darwesh, AM, Das, JK, Das, S, Dash, NR, Dashti, M, Dávila-Cervantes, CA, Davis Weaver, N, Davitoiu, DV, De la Hoz, FP, Adeyeoluwa, TE, Mullany, EC, de la Torre-Luque, A, De Leo, D, Debopadhaya, S, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Delgado-Saborit, JM, Demoze, CK, Denova-Gutiérrez, E, Dervenis, N, Munjal, K, Adha, R, Dervišević, E, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhane, AS, Dhimal, ML, Marx, W, Murillo-Zamora, E, Dhimal, M, Adibi, A, Dhingra, S, Dhulipala, VR, Dhungana, RR, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Abbasi-Kangevari, M, Ding, DD, Dinu, M, Adnani, QES, Djalalinia, S, Do, TC, Do, THP, do Prado, CB, Dodangeh, M, Dohare, S, Dokova, KG, Ali, I, Dong, W, Dongarwar, D, D'Oria, M, Adzigbli, LA, Dorostkar, F, Dorsey, ER, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Murlimanju, BV, Dsouza, AC, Dsouza, HL, Dumith, SC, Duncan, BB, Afolabi, AA, Duraes, AR, Duraisamy, S, Dushpanova, A, Dzianach, PA, Dziedzic, AM, Musina, A-M, Ebrahimi, A, Echieh, CP, Ed-Dra, A, Edinur, HA, Edvardsson, D, Afolabi, RF, Edvardsson, K, Efendi, F, Eftekharimehrabad, A, Eini, E, Mustafa, G, Ekholuenetale, M, Ekundayo, TC, El Arab, RA, El Sayed Zaki, M, El-Dahiyat, F, Elemam, NM, Afshin, A, Elgar, FJ, ElGohary, GMT, Elhabashy, HR, Muthu, S, Elhadi, M, Elmehrath, AO, Elmeligy, OAA, Elshaer, M, Elsohaby, I, Emeto, TI, Esfandiari, N, Afyouni, S, Eshrati, B, Eslami, M, Muthupandian, S, Esmaeili, SV, Estep, K, Etaee, F, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Fahimi, S, Falzone, L, Afzal, MS, Fareed, M, Muthusamy, R, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasina, FO, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Afzal, S, Muzaffar, M, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrara, P, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Maryam, S, Myung, W, Agampodi, SB, Fitriana, I, Flavel, J, Flohr, C, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Nafei, A, Foschi, M, Agbozo, F, Franklin, RC, Freitas, A, Friedman, SD, Fux, B, G, S, Gaal, PA, Gaihre, S, Gajdács, M, Nagarajan, AJ, Galali, Y, Gallus, S, Aghamiri, S, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia, V, Gardner, WM, Garg, RK, Gautam, RK, Ali, L, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Agodi, A, Gebremariam, TBB, Gebremeskel, TG, Gerema, U, Getacher, L, Getahun, GKA, Getie, M, Nagaraju, SP, Ghadirian, F, Ghafarian, S, Ghaffari Jolfayi, A, Ghailan, KY, Agrawal, A, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Nagel, G, Ghazy, RM, Gholami, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Agyemang-Duah, W, Gil, AU, Gil, GF, Gilbertson, NM, Gill, PS, Naghavi, M, Gill, TK, Gindaba, EZ, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Ahinkorah, BO, Godinho, MA, Goel, A, Golechha, M, Naghavi, P, Goleij, P, Golinelli, D, Gomes, NGM, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Ahmad, A, Gouravani, M, Goyal, A, Naik, GR, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Guha, A, Guicciardi, S, Ahmad, D, Gulati, S, Naik, G, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, M, Gupta, R, Gupta, RD, Ahmad, F, Mathangasinghe, Y, Nainu, F, Gupta, S, Gupta, VB, Gupta, VK, Habibzadeh, F, Habibzadeh, P, Hadaro, TS, Hadian, Z, Haep, N, Haghi-Aminjan, H, Nair, TS, Ahmad, N, Haghmorad, D, Hagins, H, Haile, D, Hailu, A, Hajj Ali, A, Halboub, ES, Halimi, A, Hall, BJ, Haller, S, Najdaghi, S, Halwani, R, Ahmad, S, Hamadeh, RR, Hamdy, NM, Hameed, S, Hamidi, S, Hammoud, A, Hanif, A, Hanifi, N, Haq, ZA, Nakhostin Ansari, N, Haque, MR, Harapan, H, Ahmad, T, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MJ, Hasan, SMM, Hasani, H, Ali, MU, Hasanian, M, Hashmeh, N, Hasnain, MS, Ahmed, A, Hassan, A, Hassan, I, Hassan Zadeh Tabatabaei, MS, Hassani, S, Hassanipour, S, Hassankhani, H, Nanavaty, DP, Haubold, J, Havmoeller, RJ, Hay, SI, Hebert, JJ, Hegazi, OE, Hegena, TY, Heidari, G, Heidari, M, Helfer, B, Nangia, V, Hemmati, M, Henson, CA, Herbert, ME, Herteliu, C, Heuer, A, Hezam, K, Hinneh, TK, Hiraike, Y, Hoan, NQ, Narasimha Swamy, S, Holla, R, Hon, J, Hoque, ME, Horita, N, Hossain, S, Hosseini, SE, Ahmed, LA, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Narimani Davani, D, Hostiuc, S, Hoven, H, Hsairi, M, Hsu, JM, Hu, C, Huang, J, Huda, MN, Ahmed, MB, Hulland, EN, Hultström, M, Nascimento, BR, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Ibitoye, SE, Idowu, OO, Ihler, AL, Ahmed, S, Ikeda, N, Mathioudakis, AG, Nascimento, GG, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inbaraj, LR, Irham, LM, Isa, MA, Ahmed, SA, Nashwan, AJ, Islam, MR, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iwu-Jaja, CJ, J, V, Jaafari, J, Natto, ZS, Ajami, M, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Nauman, J, Jaiswal, A, Akalu, GT, Jakovljevic, M, Jalilzadeh Yengejeh, R, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jeganathan, J, Navaratna, SNK, Jeswani, BM, Jiang, H, Akara, EM, Johnson, CO, Jokar, M, Jomehzadeh, N, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Ali, R, Joshi, V, Joshua, CE, Jozwiak, JJ, Akbarialiabad, H, Jürisson, M, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kahn, EM, Naveed, M, Kalani, R, Kaliyadan, F, Kalra, S, Kamath, R, Akhlaghi, S, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmiki, EW, Kanmodi, KK, Nayak, BP, Kansal, SK, Kapner, DJ, Kapoor, N, Karagiannidis, E, Karajizadeh, M, Akinosoglou, K, Karakasis, P, Karanth, SD, Karaye, IM, Karch, A, Nayak, VC, Karim, A, Karimi, H, Karmakar, S, Kashoo, FZ, Kasraei, H, Kassahun, WD, Akinyemiju, T, Kassebaum, NJ, Kassel, MB, Katikireddi, SV, Ndejjo, R, Kauppila, JH, Kawakami, N, Kaydi, N, Kayode, GA, Kazemi, F, Keiyoro, PN, Kemmer, L, Akkaif, MA, Kempen, JH, Kerr, JA, Matozinhos, FP, Nduaguba, SO, Kesse-Guyot, E, Khader, YS, Khafaie, MA, Khajuria, H, Khalaji, A, Khalil, M, Khalilian, A, Khamesipour, F, Akkala, S, Khan, A, Negash, H, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Akombi-Inyang, B, Negoi, I, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Khosla, AA, Khosrowjerdi, M, Khreis, H, Khusun, H, Negoi, RI, Al Awaidy, S, Kifle, ZD, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Nejadghaderi, SA, Koh, DSQ, Al Hasan, SM, Kolahi, A-A, Kompani, F, Kong, J, Koren, G, Korja, M, Korshunov, VA, Korzh, O, Kosen, S, Nejjari, C, Kothari, N, Koul, PA, Alahdab, F, Koulmane Laxminarayana, SL, Krishan, K, Krishnamoorthy, V, Krishnamoorthy, Y, Krishnan, B, Krohn, KJ, Kuate Defo, B, Ali, SSS, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, AL-Ahdal, TMA, Kugbey, N, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, N, Nematollahi, MH, Kumar, V, Kundu, S, Kurmi, OP, Kusnali, A, Alalalmeh, SO, Kusuma, D, Kutluk, T, La Vecchia, C, Ladan, MA, Laflamme, L, Nepal, S, Lahariya, C, Lai, DTC, Lal, DK, Lallukka, T, Lám, J, Alalwan, TA, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Neupane, S, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Al-Aly, Z, Lauriola, P, Le, H-H, Le, LKD, Mattumpuram, J, Ng, M, Le, NHH, Le, TTT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, SW, Alam, K, Lee, SWH, Lee, YH, Nguefack-Tsague, G, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Lescinsky, H, Leung, J, Li, M-C, Li, W-Z, Alam, N, Li, W, Ngunjiri, JW, Li, Y, Li, Z, Ligade, VS, Lim, L-L, Lim, SS, Lin, R-T, Lin, S, Liu, C, Liu, G, Alanezi, FM, Nguyen, DH, Liu, J, Liu, RT, Liu, S, Liu, W, Liu, X, Livingstone, KM, Llanaj, E, Lohiya, A, Nguyen, NNY, Alanzi, TM, López-Bueno, R, Lopukhov, PD, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, lv, H, Nguyen, PT, M Amin, HI, Albakri, A, Ma, ZF, Maass, KL, Mabrok, M, Machairas, N, Machoy, M, Mafhoumi, A, Magdy Abd El Razek, M, Maghazachi, AA, Mahadeshwara Prasad, DR, Maharaj, SB, AlBataineh, MT, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Ali, W, Malhotra, K, Malik, AA, Malik, I, Aldhaleei, WA, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Nguyen, VT, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Aldridge, RW, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Nguyen Tran Minh, D, Martinez, G, Martinez-Piedra, R, Martini, S, Martins-Melo, FR, Martorell, M, Maugeri, A, Niazi, RK, Nicholson, SI, Nie, J, Nikoobar, A, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Noman, EA, Alicandro, G, Nomura, S, Maulik, PK, Noroozi, N, Norrving, B, Noubiap, JJ, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nunemo, MH, Nurrika, D, Nutor, JJ, Alif, SM, Mayeli, M, Oancea, B, O'Connell, EM, Odetokun, IA, O'Donnell, MJ, Oduro, MS, Ogunfowokan, AA, Ogunkoya, A, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Mazidi, M, Aljunid, SM, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, AB, Oliveira, GMM, Olorukooba, AA, Olufadewa, II, Alemu, YM, Olusanya, BO, Alla, F, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ong, KL, Ong, S, Onwujekwe, OE, Mazzotti, A, Onyedibe, KI, Oppong, AF, Abd ElHafeez, S, Al-Marwani, S, Ordak, M, Orish, VN, Ornello, R, Orpana, HM, Ortiz, A, Ortiz-Prado, E, McGrath, JJ, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Al-Mekhlafi, HM, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, IT, McKee, M, Oyeyemi, OT, P A, MP, Pacheco-Barrios, K, Padron-Monedero, A, Padubidri, JR, Almustanyir, S, Pal, PK, Palicz, T, Pan, F, Pan, H-F, McKowen, ALW, Pana, A, Panda, SK, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Alomari, MA, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, McLaughlin, SA, Parent, MC, Parija, PP, Parikh, RR, Park, S, Parsons, N, Pashaei, A, Alonso, J, Pasovic, M, Passera, R, McPhail, MA, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pawar, S, Pazoki Toroudi, H, Peden, AE, Pedersini, P, Alqahtani, JS, Peng, M, McPhail, SM, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Peres, MFP, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Alqutaibi, AY, Mechili, EA, Petcu, I-R, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pickering, BV, Pierannunzio, D, Pigeolet, M, Pigott, DM, Piracha, ZZ, Mehmood, A, Al-Raddadi, RM, Piradov, MA, Pisoni, E, Piyasena, MP, Plass, D, Plotnikov, E, Poddighe, D, Polkinghorne, KR, Poluru, R, Pond, CD, Mehmood, K, Popovic, DS, Alrawashdeh, A, Porru, F, Postma, MJ, Poudel, GR, Pour-Rashidi, A, Pourshams, A, Pourtaheri, N, Prabhu, D, Prada, SI, Al-Fatly, B, Pradhan, J, Pradhan, PMS, Al-Rifai, RH, Prasad, M, Prates, EJS, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Mehrabani-Zeinabad, K, Qazi, AS, Qian, G, Qiu, S, Abd-Elsalam, S, Alrousan, SM, Rabiee Rad, M, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Mehrabi Nasab, E, Rafferty, Q, Rafiei, A, Raggi, A, Raghav, PR, Raheem, N, Al-Sabah, SK, Rahim, F, Rahim, MJ, Rahimifard, M, Rahimi-Movaghar, V, Meier, T, Rahman, MO, Rahman, MA, Rahmani, AM, Rahmani, B, Rahmanian, M, Rahmanian, N, Alshahrani, NZ, Rahmanian, V, Rahmati, M, Rahmawaty, S, Mejia-Rodriguez, F, Raimondo, D, Rajaa, S, Rajendran, V, Rajput, P, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Altaany, Z, Ramazanu, S, Ramteke, PW, Mekene Meto, T, Rana, J, Rana, K, Ranabhat, CL, Rane, A, Rani, U, Ranta, A, Rao, CR, Rao, M, Altaf, A, Rao, PC, Mekonnen, BD, Rao, SJ, Rasella, D, Rashedi, S, Rashedi, V, Rashidi, M, Rashidi, M-M, Rasouli-Saravani, A, Ratan, ZA, Rathnaiah Babu, G, Al-Tawfiq, JA, Menezes, RG, Rauniyar, SK, Rautalin, I, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Razo, C, Reda, ZFF, Reddy, MMRK, Redwan, EMM, Reifels, L, Mengist, B, Altirkawi, KA, Reitsma, MB, Remuzzi, G, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, LF, Rezaei, M, Rezaei, N, Mensah, GA, Rezaeian, M, Aluh, DO, Rhee, TG, Riaz, MA, Ribeiro, ALP, Rickard, J, Robinson-Oden, HE, Rodrigues, CF, Rodrigues, M, Rodriguez, JAB, Mensah, LG, Roever, L, Romadlon, DS, Alvis-Guzman, N, Ronfani, L, Rosauer, JJ, Roshandel, G, Rostamian, M, Rotimi, K, Rout, HS, Roy, B, Al-Gheethi, AAS, Roy, N, Rubagotti, E, Ruela, GDA, Alvis-Zakzuk, NJ, Rumisha, SF, Runghien, T, Russo, M, Ruzzante, SW, S N, C, Saad, AMA, Mentis, A-FA, Saber, K, Saber-Ayad, MM, Sabour, S, Sacco, S, Abdi, P, Alwafi, H, Sachdev, PS, Sachdeva, R, Saddik, B, 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Sanjeev, RK, Sanna, F, Santomauro, DF, Santric-Milicevic, MM, Sarasmita, MA, Saraswathy, SYI, Saravanan, A, Saravi, B, Sarikhani, Y, Sarmiento-Suárez, R, Mestrovic, T, Alzoubi, KH, Sarode, GS, Sarode, SC, Sartorius, B, Sarveazad, A, Sathian, B, Sattin, D, Sawhney, M, Saya, GK, Sayeed, A, Mettananda, KCD, Sayeed, MA, Al-Zyoud, W, Sayyah, M, Schinckus, C, Schmidt, MI, Schuermans, A, Schumacher, AE, Schutte, AE, Schwarzinger, M, Schwebel, DC, Mettananda, S, Schwendicke, F, Selvaraj, S, Amaechi, UA, Semreen, MH, Senthilkumaran, S, Serban, D, Serre, ML, Sethi, Y, Shafie, M, Shah, H, Miazgowski, T, Shah, NS, Shah, PA, Shah, SM, Aman Mohammadi, M, Shahbandi, A, Shaheen, AA, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Al-Habbal, K, Shaikh, MA, Shaikh, SZ, Shalash, AS, Sham, S, Amani, R, Shamim, MA, Shams-Beyranvand, M, Shamshirgaran, MA, Shamsi, MA, Shanawaz, M, Micha, G, Shankar, A, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, M, Abdollahi, M, Amiri, S, Sharma, U, Sharma, V, 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Zastrozhin, MS, Zeng, Y, Zhai, C, Mohammadifard, N, Zhang, AL, Zhang, H, Zhang, L, Zhang, M, Zhang, Y, Anwer, R, Zhang, Z, Zhang, Z-J, Zhao, H, Zhao, JT, Mohammed, H, Zhao, X-JG, Zhao, Y, Zhong, C, Zhou, J, Anyabolo, EE, Zhou, S, Zhu, B, Zhu, L, Ali, A, Zhu, Z, Ziaeian, B, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoghi, G, Zoller, T, Anyasodor, AE, Zumla, A, Zyoud, SH, Mohammed, M, Murray, CJL, Gakidou, E, Abdullahi, A, Apostol, GLC, Arabloo, J, Arabzadeh Bahri, R, Arafat, M, Areda, D, Aregawi, BB, Mohammed, S, Aremu, A, Armocida, B, Arndt, MB, Ärnlöv, J, Abebe, M, Arooj, M, Artamonov, AA, Artanti, KD, Aruleba, IT, Arumugam, A, Asbeutah, AM, Asgary, S, Asgedom, AA, Ashbaugh, C, Ashemo, MY, Abedi, A, Ashraf, T, Askarinejad, A, Assmus, M, Astell-Burt, T, Mokdad, AH, Athar, M, Athari, SS, Atorkey, P, Atreya, A, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awoke, AA, Ayala Quintanilla, BP, Monasta, L, Ayatollahi, H, Ayestas Portugal, C, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Azhar, GS, Azizi, H, Abegaz, TM, Azzam, AY, Backhaus, IL, Mondello, S, Badar, M, Badiye, AD, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Abeldaño Zuñiga, RA, Baig, AA, Moni, MA, Baker, JL, Bakkannavar, SM, Balasubramanian, M, Baltatu, OC, Bam, K, Bandyopadhyay, S, Banik, B, Banik, PC, Banke-Thomas, A, Abiodun, O, Moodi Ghalibaf, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Moore, CE, Abiso, TL, Barteit, S, Basharat, Z, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Batchu, S, Batra, K, Batra, R, Moradi, M, Baune, BT, Aboagye, RG, Bayati, M, Bayileyegn, NS, Beaney, T, Behnoush, AH, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, UI, Bell, AW, Bell, ML, Abolhassani, H, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bendak, S, Bennett, DA, and Bennitt, FB
Published: 2024

3. THE TREATMENT OUTCOME OF INFANTS LESS THAN 6 MONTHS OF AGE WITH UNCOMPLICATED SEVERE ACUTE MALNUTRITION (SAM) FED WITH SUPPLEMENTARY SUCKLING TECHNIQUE IN KHARTOUM, SUDAN

Author: Mohamed Salem Mohamed Baazab, Jalal Ali Bilal, Iman Ali Ba-Saddik, and Ali Mohammed Arabi
Abstract: It is worth noting that 20 million children suffering from severe malnutrition are less than five years old, and 3.8 million of them are less than six months old. In Sudan the stunting rate was above 30 % that is classified by World Health Organization (WHO) as ‘high ‘. The Supplementary Suckling Technique may seem easy in theory, but find it difficult to apply, as the method must be well explained to the mother and supported to succeed in using it. A prospective hospital-based study was done between January1st to December31st, 2020 among randomly selected infants less than 6 months of age with SAM following breastfeeding failure. Infants’ anthropometric indices were daily measured and recorded. Supplementary suckling technique was used in the management with high or low protein-based milk formula as DF100 or F75. The outcome of these infants was recorded as cured, died, defaulter or in no recovery state. The male infants represented 22 (59.5%) of the total infants (37) with a male to female ratio of 1.47: 1. It was noticed that 18 (48.6%) of infants were in the age group 2-4 months, and 8 (21.6%) SAM infants in the age groups of > 4 and < 6 months while 11 (29.7%) SAM infants in the age groups of < 2 months. About 78.4% of SAM infants aged less or equal to 4 months. Improving breastfeeding practices effectively are needed. Severe acute malnutrition in infants less than 6 months can be managed successfully as inpatients with an adopted protocol. SAM infants less than 6 months of age with D F 100 and F 75 feeding using Supplementary Suckling Technique have shown improvement in their weight gain.
Published: 2022

4. EVALUATION OF PRACTICES OF HEALTH CARE PERSONNEL IN THE EXPANDED PROGRAM ON IMMUNIZATION IN SA’ADAH, YEMEN, IN MAINTAINING VACCINE EFFICACY

Author: Qeran, Mohammed Ali, primary, Ali Habour, Ali Ba baker, additional, and Hassan, Ehsan Hassab Elrasoul, additional
Published: 2023
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5. KNOWLEDGE OF HEALTHCARE PROVIDERS IN EXPANDED PROGRAM ON IMMUNIZATION, SA’ADAH, YEMEN

Author: Qeran, Mohammed Ali, primary, Habour, Ali Ba baker Ali, additional, and Hassan, Ehsan Hassab Elrasoul, additional
Published: 2023
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6. EVALUATION OF PRACTICES OF HEALTH CARE PERSONNEL IN THE EXPANDED PROGRAM ON IMMUNIZATION IN SA’ADAH, YEMEN, IN MAINTAINING VACCINE EFFICACY

Author: Mohammed Ali Qeran, Ali Ba baker Ali Habour, and Ehsan Hassab Elrasoul Hassan
Subjects: General Engineering, General Earth and Planetary Sciences, General Environmental Science
Abstract: Background and aim: The effectiveness of any vaccine depends on maintaining it at recommended temperatures from manufacture to administration. Health workers in any health facility play an important and vital role in maintaining the cold chain and vaccine efficiency. Therefore, the aim of conducting this research was to evaluate the practice of health workers working in the Expanded Program on Immunization in Sa’adah, Yemen in the correct procedures to maintain the effectiveness of the vaccine and recording data. Method: This study was conducted on 60 health facility (H.F) in 11 districts in Sa’adah Governorate, Yemen during the period from 1 June to 30 July 2019. The focus was on the checklist used to assess the general practices of healthcare personnel participating in the immunization program. The location of the refrigerator, the arrangement of the vaccines, the presence of a thermometer, the handling of the syringes, the cleaning of the injection area, the direction of the pentavalent and measles vaccination needle, and the method of storing the vaccines during the sessions were evaluated. Data were entered and cleaned using Microsoft Excel 2019 and exported to SPSS version 26. Results: The findings show that, the ages of participants ranged from 23-55 years with Mean±SD (34.17±7.310) and 38 (63.3) were male. From a total of health facilities, 43 (91.5) had a good site of refrigerators, 45 (95.7) had a good distance from the wall, and 42 (89.4) had thermometers. There is no significant correlation between the socio-demographics of HCPs and score practice, the total practice scores for HCPs were (21.7%, and 78.3%) for right practice and right but not complete practice, respectively. Conclusion: Only a small percentage of healthcare providers have corrected practice, while a large number have shown correct but not perfect practice. Hence, regular supportive supervision, ongoing technical support, and on-the-job training are highly recommended to improve the healthcare provider's practice with regard to immunization. Peer Review History: Received: 2 January 2023; Revised: 11 February; Accepted: 6 March 2023, Available online: 15 March 2023 Academic Editor: Dr. Ali Abdullah Al-yahawi, Al-Razi university, Department of Pharmacy, Yemen, alyahawipharm@yahoo.com Received file: Reviewer's Comments: Average Peer review marks at initial stage: 6.0/10 Average Peer review marks at publication stage: 7.0/10 Reviewers: Prof. Hassan A.H. Al-Shamahy, Sana'a University, Yemen, shmahe@yemen.net.ye Dr. Bilge Ahsen KARA, Ankara Gazi Mustafa Kemal Hospital, Turkey, ahsndkyc@gmail.com Dr. Amany Mohamed Alboghdadly, Princess Nourah bint abdulrahman university, Riyadh, amalbgadley@pnu.edu.sa Similar Articles: UTILIZATION OF HEALTH MANAGEMENT INFORMATION SYSTEM AND ASSOCIATED FACTORS IN HEALTH INSTITUTIONS OF KEMBATA TEMBARO ZONE, SOUTHERN ETHIOPIA INVESTIGATING THE OBSTACLES OF IMPLEMENTING HEALTH INFORMATION SYSTEMS FROM VIEWPOINT OF PERSONNEL OF MEHRIZ HEALTHCARE SYSTEM IN 2017 DETERMINING THE IMPACT RATE OF TRIAGE TRAINING ON AWARENESS AND SKILL LEVEL OF PRE-HOSPITAL EMERGENCY PERSONNEL OF FASA CITY
Published: 2023

7. KNOWLEDGE OF HEALTHCARE PROVIDERS IN EXPANDED PROGRAM ON IMMUNIZATION, SA’ADAH, YEMEN

Author: Mohammed Ali Qeran, Ali Ba baker Ali Habour, and Ehsan Hassab Elrasoul Hassan
Subjects: General Engineering, General Earth and Planetary Sciences, General Environmental Science
Abstract: Background: After achieving high vaccination coverage, vaccine failure may occur. The sufficient knowledge of the workers in the expanded program of immunization (EPI) is one of the factors that affect in preventing this failure. In Saada, Yemen, there is no information about the knowledge of workers in the EPI. This study seeks to assess the knowledge of those in charge of immunization in Sa’adah, Yemen. Method: This prospective cross-sectional study was performed to assess healthcare providers (HCPs) knowledge regarding EPI. It was conducted on 60 HCPs in 60 H.F of 11 districts in Sa’adah Governorate, Yemen during 1 June – 30 July 2019. Appropriate interviewing pre-tested questionnaire was used to collect data from HCPs working in EPI. It includes the following: socio-demographic characteristics, knowledge about; cold chain and the method and time of administration of the vaccine and shake test. Face to face interview used to collect information. Data entering and cleaning were done using Microsoft Excel 2019 and exported to SPSS version 26, p-value less than 0.05 were considered significant. Differences in samples means were evaluated by chi-square test. Results: Age is one of the determining factors for knowledge of cold chain management (FET=0.040*), and the total knowledge score for of HCPs was (26.7%, 65%, and 8.3%) for good, fair, and poor knowledge, respectively. Conclusion: Only twenty-six-point seven of HCPs had a good knowledge score. Constant technical support and on job training to improve the HCPs knowledge about immunization are extremely recommended. Peer Review History: Received: 20 December 2022; Revised: 5 February 2023; Accepted: 3 March, Available online: 15 March 2023 Academic Editor: Dr. Emmanuel O. Olorunsola, Department of Pharmaceutics & Pharmaceutical Technology, University of Uyo, Nigeria, olorunsolaeo@yahoo.com Received file: Reviewer's Comments: Average Peer review marks at initial stage: 5.0/10 Average Peer review marks at publication stage: 7.0/10 Reviewers: Dr. Muhammad Zahid Iqbal, AIMST University, Malaysia, drmmziqbal@gmail.com Dr. Olanrewaju Rita-Marie Awotona, Legacy University, Banjul , The Gambia, olanrewajuadegbola@gmail.com Rola Jadallah, Arab American University, Palestine, rola@aauj.edu Similar Articles: TETANUS IMMUNIZATION AMONG PREGNANT WOMEN: COVERAGE RATE AND RATE OF PROTECTION AT TIME OF DELIVERY EVALUATION OF THE IMMUNE RESPONSE TO POLIO VACCINE IN MALNOURISHED CHILDREN IN SANA'A CITY
Published: 2023

8. Supplementary suckling technique in infants less than 6 months of age with uncomplicated Severe Acute Malnutrition: a prospective hospital-based study in armed conflict Yemen

Author: Mohamed Salem Mohamed Baazab, Jalal Ali Bilal, Iman Ali Ba-Saddik, and Ali Mohammed Arabi
Abstract: Background Globally 3.8 million of children under 6 month of age are severely wasted. In Yemen, around 20% of children under six months were affected by malnutrition during the armed conflict in the last 7 years. Supplementary suckling may reestablish exclusive breastfeeding in infant less than 6 months of age with Severe Acute Malnutrition (SAM). This study aimed to determine the outcomes of employing supplementary suckling technique in treatment of uncomplicated SAM infants in a conflict-affected community. Methods A prospective hospital-based study was carried out between January to April 19th, 2020 among randomly selected infants less than 6 months of age with SAM following breastfeeding failure. Infants’ anthropometric indices were daily measured and recorded. Supplementary sulking technique was used in management with high or low protein milk-based formula supplement. Outcome was recorded as cured, died, defaulter or in nonrecovery state. Results In this study 108 infants were enrolled with a median (IQR) age of 4 (2.5-5) years and a male: female ratio of 1.4:1. After treatment, 80.6% recovered to cure, 12% defaulters, 6% died, and 2% did not respond to treatment Thirty-four infants (38.8%) gained weight with significantly increased median weight and median weight-for-age z score. The median (IQR) duration of treatment was 9 (7.5–14) days. The means of age and weight-for-length z score were correlated (r= -0.22, p = 0.025). Duration of treatment was a predictor of outcome (OR = 1.71, 95% CI = 0.05–0.62, p
Published: 2022

9. Classification of wheat genotypes on the basis of morphological and physiological traits in combination with spot blotch resistance under terai sub-Himalayan region

Author: Kishore, Ponaganti Shiva, Roy, Suvendu Kumar, Das, Saikat, Ali, Basid, Vishnupriya, S., Hijam, Lakshmi, Chakraborty, Moumita, Dutta, Puspendu, Mandal, Rupsanatan, Kundu, Avijit, and Rout, Sanghamitra
Published: 2024
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10. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018

Author: Bhattacharjee, NV, Schaeffer, LE, Hay, SI, Lu, D, Schipp, MF, Lazzar-Atwood, A, Donkers, KM, Abady, GG, Abd-Allah, F, Abdelalim, A, Abebo, ZH, Abejie, AN, Abosetugn, AE, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adamu, AL, Adedeji, IA, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Aji, B, Akinyemi, OO, Alamneh, AA, Alanezi, FM, Alanzi, TM, Albright, J, Alcalde-Rabanal, JE, Alemu, BW, Alhassan, RK, Ali, BA, Ali, S, Alinia, C, Alipour, V, Amit, AML, Amugsi, DA, Anbesu, EW, Ancuceanu, R, Anjomshoa, M, Ansari, F, Antonio, CAT, Anvari, D, Arabloo, J, Arora, A, Artanti, KD, Asemahagn, MA, Asmare, WN, Atout, MMW, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Ayza, MA, Azene, ZN, Darshan, BB, Badiye, AD, Baig, AA, Bakkannavar, SM, Banach, M, Banik, PC, Bärnighausen, TW, Basaleem, H, Bayati, M, Baye, BA, Bedi, N, Belay, SA, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhutta, ZA, Bijani, A, Birhan, TA, Birihane, BM, Bitew, ZW, Bohlouli, S, Bohluli, M, Bojia, HA, Boloor, A, Brady, OJ, Bragazzi, NL, Brunoni, AR, Budhathoki, SS, Nagaraja, SB, Butt, ZA, Cárdenas, R, Castaldelli-Maia, JM, Castro, F, Cernigliaro, A, Charan, J, Chatterjee, P, Chatterjee, S, Chattu, VK, Chaturvedi, S, Chowdhury, MAK, Chu, D-T, Collison, ML, Cook, AJ, Cork, MA, Couto, RAS, Dagnew, B, Dai, H, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Darwish, AH, Daryani, A, Das, JK, Gupta, RD, Dávila-Cervantes, CA, Davis, AC, Weaver, ND, Denova-Gutiérrez, E, Deribe, K, Desalew, A, Deshpande, A, Dessie, A, Deuba, K, Dharmaratne, SD, Dhimal, M, Dhungana, GP, Diaz, D, Didarloo, A, Dipeolu, IO, Doan, LP, Duko, B, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Zaki, MES, Tantawi, ME, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Faris, PS, Faro, A, Farzadfar, F, Feigin, VL, Feleke, BE, Ferede, TY, Fischer, F, Foigt, NA, Folayan, MO, Franklin, RC, Gad, MM, Gaidhane, S, Gardner, WM, Geberemariyam, BS, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Ghaffarpasand, F, Gilani, SA, Ginindza, TG, Glagn, M, Golechha, M, Gonfa, KB, Goulart, BNG, Gudi, N, Guido, D, Guled, RA, Guo, Y, Hamidi, S, Handiso, DW, Hasaballah, AI, Hassan, A, Hayat, K, Hegazy, MI, Heidari, B, Henry, NJ, Herteliu, C, de, Hidru, HD, Ho, HC, Hoang, CL, Holla, R, Hon, J, Hosseini, M, Hosseinzadeh, M, Househ, M, Hsairi, M, Hu, G, Huda, TM, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, MM, Iwu, CCD, Iwu, CJ, Jain, A, Janodia, MD, Javaheri, T, John-Akinola, YO, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, A, Kalankesh, LR, Kalhor, R, Kamath, A, Kamyari, N, Kanchan, OT, Kapoor, N, Matin, BK, Karimi, SE, Kasaye, HK, Kassahun, G, Kassebaum, NJ, Kayode, GA, Karyani, AK, Keiyoro, PN, Kelkay, B, Khalid, N, Khan, MN, Khatab, K, Khater, AM, Khater, MM, Khatib, MN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kosen, S, Krishan, K, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kumar, P, Kurmi, OP, Kusuma, D, Vecchia, CL, Lad, SD, Lami, FH, Landires, I, Lansingh, VC, Lasrado, S, Lee, PH, LeGrand, KE, Letourneau, ID, Lewycka, S, Li, B, Li, M-C, Li, S, Liu, X, Lodha, R, Lopez, JCF, Louie, C, Machado, DB, Maled, V, Maleki, S, Malta, DC, Mamun, AA, Manafi, N, Mansournia, MA, Mapoma, CC, Marczak, LB, Martins-Melo, FR, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, TC, Mendoza, W, Menezes, RG, Mengesha, EW, Mersha, AM, Miller, TR, Mini, GK, Mirrakhimov, EM, Misra, S, Moghadaszadeh, M, Mohammad, DK, Mohammadian-Hafshejani, A, Mohammed, JA, Mohammed, S, Mokdad, AH, Montero-Zamora, PA, Moradi, M, Moradzadeh, R, Moraga, P, Mosser, JF, Mousavi, SM, Khaneghah, AM, Munro, SB, Muriithi, MK, Mustafa, G, Muthupandian, S, Nagarajan, AJ, Naik, G, Naimzada, MD, Nangia, V, Nascimento, BR, Nayak, VC, Ndejjo, R, Ndwandwe, DE, Negoi, I, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, DN, Nguyen, HLT, Nigussie, SN, Nigussie, TTN, Nikbakhsh, R, Nnaji, CA, Nunez-Samudio, V, Oancea, B, Oghenetega, OB, Olagunju, AT, Olusanya, BO, Olusanya, JO, Omer, MO, Onwujekwe, OE, Ortega-Altamirano, DV, Osgood-Zimmerman, AE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Parsekar, SS, Pasupula, DK, Patel, UK, Pathak, A, Pathak, M, Pattanshetty, SM, Patton, GC, Paulos, K, Pepito, VCF, Pickering, BV, Pinheiro, M, Piwoz, EG, Pokhrel, KN, Pourjafar, H, Prada, SI, Pribadi, DRA, Syed, ZQ, Rabiee, M, Rabiee, N, Rahim, F, Rahimzadeh, S, Rahman, A, Rahman, MHU, Rahmani, AM, Rai, RK, Ranabhat, CL, Rao, SJ, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Rawat, R, Regassa, LD, Rego, MAS, Reiner, RC, Reshmi, B, Rezapour, A, Ribeiro, AI, Rickard, J, Roever, L, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sartorius, B, Sathian, B, Saxena, D, Sbarra, AN, Sengupta, D, Senthilkumaran, S, Sha, F, Shafaat, O, Shaheen, AA, Shaikh, MA, Shalash, AS, Shannawaz, M, Sheikh, A, Shetty, BSK, Shetty, RS, Shibuya, K, Shiferaw, WS, Shin, JI, Silva, DAS, Singh, NP, Singh, P, Singh, S, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soheili, A, Soltani, S, Sorrie, MB, Spurlock, EE, Steuben, KM, Sudaryanto, A, Sufiyan, MB, Swartz, SJ, Tadesse, EG, Tamiru, AT, Tapak, L, Tareque, MI, Tarigan, IU, Tesema, GA, Tesfay, FH, Teshome, A, Tessema, ZT, Thankappan, KR, Thapar, R, Thomas, N, Topor-Madry, R, Tovani-Palone, MR, Traini, E, Tran, BX, Truong, PN, Tsegaye, BTBT, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Uzochukwu, BSC, VanderHeide, JD, Violante, FS, Vo, B, Wado, YD, Waheed, Y, Wamai, RG, Wang, F, Wang, Y, Wang, Y-P, Wickramasinghe, ND, Wiens, KE, Wiysonge, CS, Woyczynski, L, Wu, A-M, Wu, C, Yamada, T, Yaya, S, Yeshaneh, A, Yeshaw, Y, Yeshitila, YG, Yilma, MT, Yip, P, Yonemoto, N, Yosef, T, Younis, MZ, Yousuf, AY, Yu, C, Yu, Y, Yuce, D, Zafar, S, Zaidi, SS, Zaki, L, Zakzuk, J, Zamanian, M, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zelellw, DA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zodpey, S, Zuniga, YMH, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee, Natalia V, Schaeffer, Lauren E, Hay, Simon I, Duko, Bereket, Yeshaw, Yigizie, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee N.V., Schaeffer L.E., Hay S.I., Lu D., Schipp M.F., Lazzar-Atwood A., Donkers K.M., Abady G.G., Abd-Allah F., Abdelalim A., Abebo Z.H., Abejie A.N., Abosetugn A.E., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adamu A.L., Adedeji I.A., Adegbosin A.E., Adekanmbi V., Adetokunboh O.O., Agudelo-Botero M., Aji B., Akinyemi O.O., Alamneh A.A., Alanezi F.M., Alanzi T.M., Albright J., Alcalde-Rabanal J.E., Alemu B.W., Alhassan R.K., Ali B.A., Ali S., Alinia C., Alipour V., Amit A.M.L., Amugsi D.A., Anbesu E.W., Ancuceanu R., Anjomshoa M., Ansari F., Antonio C.A.T., Anvari D., Arabloo J., Arora A., Artanti K.D., Asemahagn M.A., Asmare W.N., Atout M.M.W., Ausloos M., Awoke N., Quintanilla B.P.A., Ayanore M.A., Aynalem Y.A., Ayza M.A., Azene Z.N., Darshan B.B., Badiye A.D., Baig A.A., Bakkannavar S.M., Banach M., Banik P.C., Barnighausen T.W., Basaleem H., Bayati M., Baye B.A., Bedi N., Belay S.A., Bhagavathula A.S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhutta Z.A., Bijani A., Birhan T.A., Birihane B.M., Bitew Z.W., Bohlouli S., Bohluli M., Bojia H.A., Boloor A., Brady O.J., Bragazzi N.L., Brunoni A.R., Budhathoki S.S., Nagaraja S.B., Butt Z.A., Cardenas R., Castaldelli-Maia J.M., Castro F., Cernigliaro A., Charan J., Chatterjee P., Chatterjee S., Chattu V.K., Chaturvedi S., Chowdhury M.A.K., Chu D.-T., Collison M.L., Cook A.J., Cork M.A., Couto R.A.S., Dagnew B., Dai H., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Darwish A.H., Daryani A., Das J.K., Gupta R.D., Davila-Cervantes C.A., Davis A.C., Weaver N.D., Denova-Gutierrez E., Deribe K., Desalew A., Deshpande A., Dessie A., Deuba K., Dharmaratne S.D., Dhimal M., Dhungana G.P., Diaz D., Didarloo A., Dipeolu I.O., Doan L.P., Duko B., Duraes A.R., Dwyer-Lindgren L., Earl L., Zaki M.E.S., Tantawi M.E., Elema T.B., Elhabashy H.R., El-Jaafary S.I., Faris P.S., Faro A., Farzadfar F., Feigin V.L., Feleke B.E., Ferede T.Y., Fischer F., Foigt N.A., Folayan M.O., Franklin R.C., Gad M.M., Gaidhane S., Gardner W.M., Geberemariyam B.S., Gebregiorgis B.G., Gebremedhin K.B., Gebremichael B., Ghaffarpasand F., Gilani S.A., Ginindza T.G., Glagn M., Golechha M., Gonfa K.B., Goulart B.N.G., Gudi N., Guido D., Guled R.A., Guo Y., Hamidi S., Handiso D.W., Hasaballah A.I., Hassan A., Hayat K., Hegazy M.I., Heidari B., Henry N.J., Herteliu C., de Hidru H.D., Ho H.C., Hoang C.L., Holla R., Hon J., Hosseini M., Hosseinzadeh M., Househ M., Hsairi M., Hu G., Huda T.M., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Iqbal U., Irvani S.S.N., Islam M.M., Iwu C.C.D., Iwu C.J., Jain A., Janodia M.D., Javaheri T., John-Akinola Y.O., Johnson K.B., Joukar F., Jozwiak J.J., Kabir A., Kalankesh L.R., Kalhor R., Kamath A., Kamyari N., Kanchan O.T., Kapoor N., Matin B.K., Karimi S.E., Kasaye H.K., Kassahun G., Kassebaum N.J., Kayode G.A., Karyani A.K., Keiyoro P.N., Kelkay B., Khalid N., Khan M.N., Khatab K., Khater A.M., Khater M.M., Khatib M.N., Kim Y.J., Kimokoti R.W., Kinyoki D.K., Kisa A., Kisa S., Kosen S., Krishan K., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kumar P., Kurmi O.P., Kusuma D., Vecchia C.L., Lad S.D., Lami F.H., Landires I., Lansingh V.C., Lasrado S., Lee P.H., LeGrand K.E., Letourneau I.D., Lewycka S., Li B., Li M.-C., Li S., Liu X., Lodha R., Lopez J.C.F., Louie C., Machado D.B., Maled V., Maleki S., Malta D.C., Mamun A.A., Manafi N., Mansournia M.A., Mapoma C.C., Marczak L.B., Martins-Melo F.R., Mehndiratta M.M., Mejia-Rodriguez F., Mekonnen T.C., Mendoza W., Menezes R.G., Mengesha E.W., Mersha A.M., Miller T.R., Mini G.K., Mirrakhimov E.M., Misra S., Moghadaszadeh M., Mohammad D.K., Mohammadian-Hafshejani A., Mohammed J.A., Mohammed S., Mokdad A.H., Montero-Zamora P.A., Moradi M., Moradzadeh R., Moraga P., Mosser J.F., Mousavi S.M., Khaneghah A.M., Munro S.B., Muriithi M.K., Mustafa G., Muthupandian S., Nagarajan A.J., Naik G., Naimzada M.D., Nangia V., Nascimento B.R., Nayak V.C., Ndejjo R., Ndwandwe D.E., Negoi I., Nguefack-Tsague G., Ngunjiri J.W., Nguyen C.T., Nguyen D.N., Nguyen H.L.T., Nigussie S.N., Nigussie T.T.N., Nikbakhsh R., Nnaji C.A., Nunez-Samudio V., Oancea B., Oghenetega O.B., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omer M.O., Onwujekwe O.E., Ortega-Altamirano D.V., Osgood-Zimmerman A.E., Otstavnov N., Otstavnov S.S., Owolabi M.O., Mahesh P.A., Padubidri J.R., Pana A., Pandey A., Pandi-Perumal S.R., Pangaribuan H.U., Parsekar S.S., Pasupula D.K., Patel U.K., Pathak A., Pathak M., Pattanshetty S.M., Patton G.C., Paulos K., Pepito V.C.F., Pickering B.V., Pinheiro M., Piwoz E.G., Pokhrel K.N., Pourjafar H., Prada S.I., Pribadi D.R.A., Syed Z.Q., Rabiee M., Rabiee N., Rahim F., Rahimzadeh S., Rahman A., Rahman M.H.U., Rahmani A.M., Rai R.K., Ranabhat C.L., Rao S.J., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawassizadeh R., Rawat R., Regassa L.D., Rego M.A.S., Reiner R.C., Reshmi B., Rezapour A., Ribeiro A.I., Rickard J., Roever L., Rumisha S.F., Rwegerera G.M., Sagar R., Sajadi S.M., Salem M.R., Samy A.M., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarker A.R., Sartorius B., Sathian B., Saxena D., Sbarra A.N., Sengupta D., Senthilkumaran S., Sha F., Shafaat O., Shaheen A.A., Shaikh M.A., Shalash A.S., Shannawaz M., Sheikh A., Shetty B.S.K., Shetty R.S., Shibuya K., Shiferaw W.S., Shin J.I., Silva D.A.S., Singh N.P., Singh P., Singh S., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soheili A., Soltani S., Sorrie M.B., Spurlock E.E., Steuben K.M., Sudaryanto A., Sufiyan M.B., Swartz S.J., Tadesse E.G., Tamiru A.T., Tapak L., Tareque M.I., Tarigan I.U., Tesema G.A., Tesfay F.H., Teshome A., Tessema Z.T., Thankappan K.R., Thapar R., Thomas N., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Truong P.N., Tsegaye B.T.B.T., Ullah I., Umeokonkwo C.D., Unnikrishnan B., Upadhyay E., Uzochukwu B.S.C., VanderHeide J.D., Violante F.S., Vo B., Wado Y.D., Waheed Y., Wamai R.G., Wang F., Wang Y., Wang Y.-P., Wickramasinghe N.D., Wiens K.E., Wiysonge C.S., Woyczynski L., Wu A.-M., Wu C., Yamada T., Yaya S., Yeshaneh A., Yeshaw Y., Yeshitila Y.G., Yilma M.T., Yip P., Yonemoto N., Yosef T., Younis M.Z., Yousuf A.Y., Yu C., Yu Y., Yuce D., Zafar S., Zaidi S.S., Zaki L., Zakzuk J., Zamanian M., Zar H.J., Zastrozhin M.S., Zastrozhina A., Zelellw D.A., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zodpey S., Zuniga Y.M.H., Collaborators, Local Burden of Disease Exclusive Breastfeeding, and Instituto de Saúde Pública da Universidade do Porto
Subjects: RJ101, Psychological intervention, Breastfeeding, Social Sciences, geography, Behavioral Neuroscience, 0302 clinical medicine, RA0421, Prevalence, Psychology, policy making, 030212 general & internal medicine, Policy Making, humans, media_common, CHILD GROWTH FAILURE, Developing world, 0303 health sciences, education.field_of_study, Psychology, Biological, Geography, Psychology, Experimental, Health Status Disparitie, Multidisciplinary Sciences, Breast Feeding, breast feeding, Scale (social sciences), Science & Technology - Other Topics, Life Sciences & Biomedicine, Human, AFRICA, Social Psychology, Inequality, spatial analysis, media_common.quotation_subject, public policy, Population, prevalence, Public policy, Developing country, Experimental and Cognitive Psychology, Public Policy, Local Burden of Disease Exclusive Breastfeeding Collaborators, Article, Developing Countrie, 03 medical and health sciences, Environmental health, Humans, Nutrition disorders, education, Developing Countries, 030304 developmental biology, Spatial Analysis, Science & Technology, Neurosciences, Health Status Disparities, developing countries, health status disparities, Risk factors, Neurosciences & Neurology, Breast feeding
Abstract: Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030., Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.
Published: 2021

11. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

Author: Khanh, BT, Lang, JJ, Compton, K, Xu, R, Acheson, AR, Henrikson, HJ, Kocarnik, JM, Penberthy, L, Aali, A, Abbas, Q, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, AA, Abdoli, G, Abdulkadir, HA, Abedi, A, Abegaz, KH, Abidi, H, Aboagye, RG, Abolhassani, H, Absalan, A, Abtew, YD, Ali, HA, Abu-Gharbieh, E, Achappa, B, Acuna, JM, Addison, D, Addo, IY, Adegboye, OA, Adesina, MA, Adnan, M, Adnani, QES, Advani, SM, Afrin, S, Afzal, MS, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, R, Ahmad, S, Ahmadi, S, Ahmed, H, Ahmed, LA, Ahmed, MB, Rashid, TA, Aiman, W, Ajami, M, Akalu, GT, Akbarzadeh-Khiavi, M, Aklilu, A, Akonde, M, Akunna, CJ, Al Hamad, H, Alahdab, F, Alanezi, FM, Alanzi, TM, Alessy, SA, Algammal, AM, Al-Hanawi, MK, Alhassan, RK, Ali, BA, Ali, L, Ali, SS, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alqalyoobi, S, Al-Raddadi, RM, Al-Rifai, RHH, Al-Sabah, SK, Al-Tammemi, AB, Altawalah, H, Alvis-Guzman, N, Amare, F, Ameyaw, EK, Dehkordi, JJA, Amirzade-Iranaq, MH, Amu, H, Amusa, GA, Ancuceanu, R, Anderson, JA, Animut, YA, Anoushiravani, A, Anoushirvani, AA, Ansari-Moghaddam, A, Ansha, MG, Antony, B, Antwi, MH, Anwar, SL, Anwer, R, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Aremu, O, Argaw, AM, Ariffin, H, Aripov, T, Arshad, M, Al, A, Arulappan, J, Aruleba, RT, Aryannejad, A, Asaad, M, Asemahagn, MA, Asemi, Z, Asghari-Jafarabadi, M, Ashraf, T, Assadi, R, Athar, M, Athari, SS, Null, MMWA, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, AF, Awoke, MA, Awoke, T, Quintanilla, BPA, Ayana, TM, Ayen, SS, Azadi, D, Null, SA, Azami-Aghdash, S, Azanaw, MM, Azangou-Khyavy, M, Jafari, AA, Azizi, H, Azzam, AYY, Babajani, A, Badar, M, Badiye, AD, Baghcheghi, N, Bagheri, N, Bagherieh, S, Bahadory, S, Baig, AA, Baker, JL, Bakhtiari, A, Bakshi, RK, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barra, F, Barrow, A, Bashir, NZ, Bashiri, A, 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Abstract: BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [2
Published: 2022

12. Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019

Author: Ledesma, JR, Ma, J, Vongpradith, A, Maddison, ER, Novotney, A, Biehl, MH, LeGrand, KE, Ross, JM, Jahagirdar, D, Bryazka, D, Feldman, R, Abolhassani, H, Abosetugn, AE, Abu-Gharbieh, E, Adebayo, OM, Adnani, QES, Afzal, S, Ahinkorah, BO, Ahmad, SA, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Alemayehu, Y, Alene, KA, Ali, BA, Ali, L, Alipour, V, Alizade, H, Al-Raddadi, RM, Alvis-Guzman, N, Amini, S, Amit, AML, Anderson, JA, Androudi, S, Antonio, CAT, Antony, CM, Anwer, R, Arabloo, J, Arja, A, Asemahagn, MA, Atre, SR, Azhar, GS, B, DB, Babar, ZUD, Baig, AA, Banach, M, Barqawi, HJ, Barra, F, Barrow, A, Basu, S, Belgaumi, UI, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharjee, NV, Bhattacharyya, K, Bijani, A, Bikbov, B, Boloor, A, Briko, NI, Buonsenso, D, Burugina Nagaraja, S, Butt, ZA, Carter, A, Carvalho, F, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Christopher, DJ, Chu, DT, Claassens, MM, Dadras, O, Dagnew, AB, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dhamnetiya, D, Dianatinasab, M, Diaz, D, Doan, LP, Eftekharzadeh, S, Elhadi, M, Emami, A, Enany, S, Faraon, EJA, Farzadfar, F, Fernandes, E, Ferro Desideri, L, Filip, I, Fischer, F, Foroutan, M, Frank, TD, Garcia-Basteiro, AL, Ledesma, JR, Ma, J, Vongpradith, A, Maddison, ER, Novotney, A, Biehl, MH, LeGrand, KE, Ross, JM, Jahagirdar, D, Bryazka, D, Feldman, R, Abolhassani, H, Abosetugn, AE, Abu-Gharbieh, E, Adebayo, OM, Adnani, QES, Afzal, S, Ahinkorah, BO, Ahmad, SA, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Aklilu, A, Akunna, CJ, Al Hamad, H, Alahdab, F, Alemayehu, Y, Alene, KA, Ali, BA, Ali, L, Alipour, V, Alizade, H, Al-Raddadi, RM, Alvis-Guzman, N, Amini, S, Amit, AML, Anderson, JA, Androudi, S, Antonio, CAT, Antony, CM, Anwer, R, Arabloo, J, Arja, A, Asemahagn, MA, Atre, SR, Azhar, GS, B, DB, Babar, ZUD, Baig, AA, Banach, M, Barqawi, HJ, Barra, F, Barrow, A, Basu, S, Belgaumi, UI, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharjee, NV, Bhattacharyya, K, Bijani, A, Bikbov, B, Boloor, A, Briko, NI, Buonsenso, D, Burugina Nagaraja, S, Butt, ZA, Carter, A, Carvalho, F, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Christopher, DJ, Chu, DT, Claassens, MM, Dadras, O, Dagnew, AB, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dhamnetiya, D, Dianatinasab, M, Diaz, D, Doan, LP, Eftekharzadeh, S, Elhadi, M, Emami, A, Enany, S, Faraon, EJA, Farzadfar, F, Fernandes, E, Ferro Desideri, L, Filip, I, Fischer, F, Foroutan, M, Frank, TD, and Garcia-Basteiro, AL
Published: 2022

13. Pattern of congenital anomalies among newborns, infants and children in Aden city

Author: Iman Ali Ba-Saddik, Ahmed Taha Makki, and Inas Mohammed Aklan
Abstract: The field of dysmorphology has expanded dramatically as the number of recognizable patterns of malformation has more than tripled during the last 30 years. Major congenital anomalies are currently the leading cause of perinatal, neonatal and infant mortality worldwide, including Yemen. A basic method to investigate congenital anomalies is through medical review records at hospitals and child maternity services. A retrospective analytic study through review of medical records was conducted includeding 1920 patients in all major congenital anomalies with a male to female ratio of 2:1 within age range from 1 day to15 years at Al-Sadaqa and Al-Gamhouria Teaching Hospitals, Aden city, Yemen, during January 2000 to December 2007. Digestive system (DTS) 649 (33.8%) formed the commonest major congenital anomalies, followed by circulatory system (CVS) 416 (21.7%), central nervous system (CNS) 273 (14.2%), urogenital system (UGS) 202 (10.5%) and musculoskeletal system (MSK) 137 (7.1%). Generation of the available information will form the basis to reflect the magnitude of these birth defects, their pattern and any associated risk factors. These results will have important implications in planning appropriate preventive, therapeutic and rehabilitative programs. Future plan would include the implementation of innovative health education strategies and standard screening with sophisticated diagnostic procedures.
Published: 2020

14. The treatment outcome of infants less than 6 months of age with uncomplicated Severe Acute Malnutrition fed with supplementary suckling technique in armed conflict Yemen

Author: Mohamed Salem Mohamed Baazab, Jalal Ali Bilal, Iman Ali Ba-Saddik, and Ali Mohammed Arabi
Abstract: Background: Globally 3.8 million of children < 6 month of age are severely wasted. In Yemen, 2.3 million children under the age of five suffer from acute malnutrition in 2021 and 20% of Children under six months were affected by malnutrition during the armed conflict. Supplementary suckling reestablishes exclusive breastfeeding in infant less than 6 months of age with SAM. This study aimed to determine the outcome of employing supplementary suckling technique in treatment of uncomplicated SAM infants in a conflict-affected community.Methods: A prospective hospital-based study was done between January to April 19th, 2020 among randomly selected infants less than 6 months of age with SAM following breastfeeding failure. Infants’ anthropometric indices were daily measured and recorded. Supplementary sulking technique was used in management with DF100 or F75. Outcome was recorded as cured, died, defaulter or in nonrecovery state.Results: infants in this study (n=108) had a median (IQR) age of 4.0 (2.5) and a male: female ratio of 1.4. The cure rate after feeding was 80.6%, defaulters were 13 (12%), 6 (5.6%) died and 2 (1.9%) infants did not respond to treatment. Thirty-four infants (38.8%) gained weight with significantly increased median weight and median weight-for-age z score. Median weight gain rate was 10.1 g/Kg/day. The median (IQR) duration of treatment was 9 (3.8) days. The means of age and weight-for-length z score were correlated (r= -0.22, p=0.025). Duration of treatment was a predictor of outcome (OR=1.71, 95% CI=0.05-0.62, pConclusion: Supplementary suckling technique for feeding infant with SAM aged less than 6 months had a positive impact on anthropometric indices with high cure rate. The younger the infant and the longer the duration of treatment, the better the outcome.Trial registration: Not Applicable
Published: 2022

15. To explore the relation between green human resource management (GHRM) and the green supply chain (GSCM): Empirical evidence from industrial companies in Dhofar reign, Oman

Author: Ali Hubais, Ali Ba Awain, Juraifa Jais, and Tariq Atiya
Published: 2022

16. Prevalence of Congenital Uterine Anomalies and Tubal Blockage in Infertile Omani Women: A Retrospective Study

Author: Halima Albalushi, Ali Ba-Alawi, Ruqaiya Aljabri, and Maha Al Khaduri
Subjects: General Medicine
Abstract: Objectives: Congenital uterine anomalies (CUAs) occur because of malformation of the female genital tract at any stage of the Müllerian duct development process. This retrospective study investigated the prevalence of CUAs and tubal blockage in infertile Omani women who underwent a hysterosalpingogram procedure as part of the evaluation of infertility. Methods: The radiographic reports of patients aged 19–48 years who underwent hysterosalpingogram as part of infertility evaluation during the 2013–2018 period, were collected and analyzed for the presence and the type of CUAs. Results: The records of N = 912 patients were evaluated, 44.3% of whom had been investigated for primary infertility and 55.7% for secondary infertility. Patients with primary infertility were significantly younger than those with secondary infertility. Of the 27 (3.0%) patients who were found to have CUAs, 19 had arcuate uterus. No correlation was found between the type of infertility and the CUAs. Conclusions: CUAs were prevalent in 3.0% of the cohort, most of whom were diagnosed with arcuate uterus.
Published: 2023

17. Multivariate analysis of grain yield attributes and spot blotch incidence in wheat (Triticum aestivum L.) under sub-Himalayan agroclimatic condition

Author: Kishore, Ponaganti Shiva, Roy, Suvendu Kumar, Das, Saikat, Vishnupriya, S., Ali, Basid, Hijam, Lakshmi, Chakraborty, Moumita, Dutta, Puspendu, Mandal, Rupsanatan, and Rout, Sanghamitra
Published: 2024
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18. To explore the relation between green human resource management (GHRM) and the green supply chain (GSCM): Empirical evidence from industrial companies in Dhofar reign, Oman

Author: Hubais, Ali, primary, Awain, Ali Ba, additional, Jais, Juraifa, additional, and Atiya, Tariq, additional
Published: 2022
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19. Investigation of the stability of cerium oxide in diesel fuel for nano-enhanced fuel formulation

Author: Saleem, Ali Ba, primary, Mamat, R., additional, Hagos, F. Y., additional, Abdullah, A. A., additional, and Arman, A., additional
Published: 2022
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20. Mapping routine measles vaccination in low- and middle-income countries

Author: Sbarra, AN, Rolfe, S, Nguyen, JQ, Earl, L, Galles, NC, Marks, A, Abbas, KM, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abegaz, KH, Abiy, HAA, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Adabi, M, Adebayo, OM, Adekanmbi, V, Adetokunboh, OO, Adham, D, Afarideh, M, Aghaali, M, Ahmad, T, Ahmadi, R, Ahmadi, K, Ahmed, MB, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemnew, BT, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipoor, R, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, KA, Amare, B, Amini, S, Amini-Rarani, M, Amiri, F, Amit, AML, Amugsi, DA, Ancuceanu, R, Andrei, CL, Anjomshoa, M, Ansari, F, Ansari-Moghaddam, A, Ansha, MG, Antonio, CAT, Antriyandarti, E, Anvari, D, Arabloo, J, Arab-Zozani, M, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Aliabadi, M, Asgari, S, Atafar, Z, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azadmehr, A, Azari, S, Babaee, E, Badawi, A, Badiye, AD, Bahrami, MA, Baig, AA, Bakhtiari, A, Balakrishnan, S, Banach, M, Banik, PC, Barac, A, Baradaran-Seyed, Z, Baraki, AG, Basu, S, Bayati, M, Bayou, YT, Bedi, N, Behzadifar, M, Bell, ML, Berbada, DA, Berhe, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Birhanu, M, Bisanzio, D, Biswas, A, Bohlouli, S, Bolla, SR, Borzouei, S, Brady, OJ, Bragazzi, NL, Briko, AN, Briko, NI, Nagaraja, SB, Butt, ZA, Cámera, LA, Campos-Nonato, IR, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castro, F, Chattu, VK, Chehrazi, M, Chin, KL, Chu, D-T, Cook, AJ, Cormier, NM, Cunningham, B, Dahlawi, SMA, Damiani, G, Dandona, R, Dandona, L, Danovaro, MC, Dansereau, E, Daoud, F, Darwesh, AM, Darwish, AH, Das, JK, Weaver, ND, De Neve, J-W, Demeke, FM, Demis, AB, Denova-Gutiérrez, E, Desalew, A, Deshpande, A, Desta, DM, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, Diaz, D, Dipeolu, IO, Djalalinia, S, Do, HT, Dorostkar, F, Doshmangir, L, Doyle, KE, Dunachie, SJ, Duraes, AR, Kalan, ME, Leylabadlo, HE, Edinur, HA, Effiong, A, Eftekhari, A, El, Sayed, I, El, Sayed, Zaki, M, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Elsharkawy, A, Emamian, MH, Enany, S, Eshrati, B, Eskandari, K, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, A, Etisso, AE, Farahmand, M, Faraon, EJA, Fareed, M, Faridnia, R, Farioli, A, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Foroutan, M, Fukumoto, T, Fullman, N, Gad, MM, Geberemariyam, BS, Gebrehiwot, TT, Gebrehiwot, AM, Gebremariam, KT, Gebremedhin, KB, Gebremeskel, GG, Gebreslassie, AA, Gedefaw, GA, Gezae, KE, Ghadiri, K, Ghaffari, R, Ghaffarifar, F, Ghajarzadeh, M, Gheshlagh, RG, Ghashghaee, A, Ghiasvand, H, Gholamian, A, Gilani, SA, Gill, PS, Girmay, A, Gomes, NGM, Gopalani, SV, Goulart, BNG, Grada, A, Guimarães, RA, Guo, Y, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Handiso, DW, Hanif, A, Haririan, H, Hasaballah, AI, Hasan, MM, Hasanpoor, E, Hasanzadeh, A, Hassanipour, S, Hassankhani, H, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Heydarpour, F, Hollerich, GI, Rad, EH, Hoogar, P, Hossain, N, Hosseini, M, Hosseinzadeh, M, Househ, M, Hu, G, Huda, TM, Humayun, A, Ibitoye, SE, Ikilezi, G, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani-Nasab, MH, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, SMS, Islam, MM, Iwu, CJ, Iwu, CCD, Jadidi-Niaragh, F, Jafarinia, M, Jahanmehr, N, Jakovljevic, M, Jalali, A, Jalilian, F, Javidnia, J, Jenabi, E, Jha, V, Ji, JS, John, O, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, Z, Kabir, A, Kalani, H, Kalankesh, LR, Kalhor, R, Kamal, Z, Kanchan, T, Kapoor, N, Karami, M, Matin, BK, Karch, A, Karimi, SE, Kayode, GA, Karyani, AK, Keiyoro, PN, Khader, YS, Khafaie, MA, Khammarnia, M, Khan, MS, Khan, EA, Khan, J, Khan, MN, Khatab, K, Khater, MM, Khatib, MN, Khayamzadeh, M, Khazaei, M, Khazaei, S, Khosravi, A, Khubchandani, J, Kianipour, N, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kolola, T, Komaki, H, Kosen, S, Koul, PA, Koyanagi, A, Kraemer, MUG, Krishan, K, Kuate Defo, B, Kumar, M, Kumar, P, Kumar, GA, Kusuma, D, La Vecchia, C, Lacey, B, Lad, SD, Lal, DK, Lam, F, Lami, FH, Lansingh, VC, Larson, HJ, Lasrado, S, Lee, SWH, Lee, PH, LeGrand, KE, Lenjebo, TL, Li, S, Liang, X, Liu, PY, Lopukhov, PD, Machado, DB, Mahasha, PW, Mahdavi, MM, Maheri, M, Mahotra, NB, Maled, V, Maleki, S, Malik, MA, Malta, DC, Mansour-Ghanaei, F, Mansouri, B, Mansourian, M, Mansournia, MA, Martins-Melo, FR, Masaka, A, Mayala, BK, Mehndiratta, MM, Mehri, F, Mehta, KM, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, EW, Mestrovic, T, Mihretie, KM, Miller-Petrie, MK, Mills, EJ, Milne, GJ, Mirabi, P, Mirrakhimov, EM, Mirzaei, R, Mirzaei, M, Mirzaei, HR, Mirzaei, H, Mirzaei-Alavijeh, M, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, DK, Mohammad, Y, Mohammad, KA, Mohammad Gholi Mezerji, N, Mohammadbeigi, A, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohammed, AS, Mohammed, H, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, MA, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Joo, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Mosapour, A, Mouodi, S, Mousavi, SM, Khaneghah, AM, Mueller, UO, Muluneh, AG, Munro, SB, Murray, CJL, Murthy, GVS, Muthupandian, S, Naderi, M, Nagarajan, AJ, Naghavi, M, Nangia, V, Nansseu, JR, Nayak, VC, Nazari, J, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, CTK, Nguyen, TH, Nigatu, YT, Nikbakhsh, R, Nikfar, S, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Oh, I-H, Oladnabi, M, Olagunju, AT, Olusanya, JO, Olusanya, BO, Bali, AO, Omer, MO, Onwujekwe, OE, Osgood-Zimmerman, AE, Owolabi, MO, P, A, M, Padubidri, JR, Pakshir, K, Pana, A, Pandey, A, Pando-Robles, V, Pashaei, T, Pasupula, DK, Paternina-Caicedo, AJ, Patton, GC, Pazoki Toroudi, H, Pepito, VCF, Pescarini, JM, Pigott, DM, Pilgrim, T, Pirsaheb, M, Poljak, M, Postma, MJ, Pourjafar, H, Pourmalek, F, Pourmirza, Kalhori, R, Prada, SI, Prakash, S, Quazi Syed, Z, Quintana, H, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rajati, F, Rameto, MA, Ramezanzadeh, K, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rawat, R, Renjith, V, Renzaho, AMN, Reshmi, B, Reta, MA, Rezaei, N, Rezai, MS, Rezapour, A, Riahi, SM, Ribeiro, AI, Rickard, J, Rios-Blancas, M, Rios-González, CM, Roever, L, Rostamian, M, Rubino, S, Rwegerera, GM, Saad, AM, Saadatagah, S, Sabour, S, Sadeghi, E, Moghaddam, SS, Saeidi, S, Sagar, R, Sahebkar, A, Sahraian, MA, Sajadi, SM, Salahshoor, MR, Salam, N, Salem, H, Salem, MR, Salomon, JA, Kafil, HS, Sambala, EZ, Samy, AM, Saraswathy, SYI, Sarmiento-Suárez, R, Saroshe, S, Sartorius, B, Sarveazad, A, Sathian, B, Sathish, T, Schaeffer, LE, Schwebel, DC, Senthilkumaran, S, Shabaninejad, H, Shahabi, S, Shaheen, AA, Shaikh, MA, Shalash, AS, Shams-Beyranvand, M, Shamsi, MB, Shamsizadeh, M, Sharafi, K, Sharifi, H, Sheikh, A, Sheikhtaheri, A, Shetty, RS, Shiferaw, WS, Shigematsu, M, Shin, JI, Shirkoohi, R, Siabani, S, Siddiqi, TJ, Silverberg, JIS, Simonetti, B, Singh, JA, Sinha, DN, Sinke, AH, Soheili, A, Sokhan, A, Soltani, S, Soofi, M, Sorrie, MB, Soyiri, IN, Spotin, A, Spurlock, EE, Sreeramareddy, CT, Sudaryanto, A, Sufiyan, MB, Suleria, HAR, Abdulkader, RS, Taherkhani, A, Tapak, L, Taveira, N, Taymoori, P, Tefera, YM, Tehrani-Banihashemi, A, Teklehaimanot, BF, Tekulu, GH, Tesfay, BE, Tessema, ZT, Tessema, B, Thankappan, KR, Tohidinik, HR, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Uddin, R, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vaezi, M, Valadan, Tahbaz, S, Valdez, PR, Vasseghian, Y, Veisani, Y, Violante, FS, Vollmer, S, Waheed, Y, Wakefield, J, Wang, Y, Wang, Y-P, Weldesamuel, GT, Werdecker, A, Westerman, R, Wiangkham, T, Wiens, KE, Wiysonge, CS, Woldu, G, Wondafrash, DZ, Wonde, TE, Wu, A-M, Yadollahpour, A, Jabbari, SHY, Yamada, T, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yip, P, Yonemoto, N, Younis, MZ, Yousefi, Z, Yousefifard, M, Yousefinezhadi, T, Yu, C, Yusefzadeh, H, Zadey, S, Zahirian, Moghadam, T, Zaki, L, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zangeneh, A, Zarei, F, Zerfu, TA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zhou, M, Ziapour, A, Hay, SI, Lim, SS, Mosser, JF, Local Burden of Disease Vaccine Coverage Collaborators, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), HUS Comprehensive Cancer Center, Clinicum, Department of Oncology, Sbarra, Alyssa N., Rolfe, Sam, Nguyen, Jason Q., Earl, Lucas, Ahmed, MB, Mosser, Jonathan F, Collaborators, Local Burden of Disease Vaccine Coverage, Bill & Melinda Gates Foundation, Alexander von Humboldt-Stiftung, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Universiti Sains Malaysia (Malasia), Panjab University (India), NIHR - Oxford Biomedical Research Centre (Reino Unido), Australian Research Council, Instituto de Saúde Pública da Universidade do Porto, Local Burden Dis Educ Attainment C, Local Burden of Disease Vaccine Coverage Collaborator, and Violante FS
Subjects: and promotion of well-being, Vacunación Masiva, Internationality, Disease prevention, children under 5 years old, Geographic Mapping, Rural Health, medicine.disease_cause, Cross-reactivity, 0302 clinical medicine, RA0421, Vaccination Refusal, 030212 general & internal medicine, Child, immunity patterns, Pediatric, 0303 health sciences, Public health, Multidisciplinary, biology, Vaccination, Uncertainty, IMMUNIZATION, 3142 Public health care science, environmental and occupational health, COVERAGE, 3. Good health, TIME, 3.4 Vaccines, Child, Preschool, Infectious diseases, A990 Medicine and Dentistry not elsewhere classified, Antibody, Engineering sciences. Technology, AFRICA, General Science & Technology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, 610 Medicine & health, Global Vaccine Action Plan (GVAP), Local Burden of Disease Vaccine Coverage Collaborators, Article, Vaccine Related, 03 medical and health sciences, measles vaccine, Measels, Low- and middle-income countries, Local burden of disease, Clinical Research, medicine, Humans, Healthcare Disparities, Preschool, PROGRESS, 030304 developmental biology, business.industry, MORTALITY, Developed Countries, Prevention, Comment, Vacunación, Urban Health, Prevention of disease and conditions, Virology, Coronavirus, Good Health and Well Being, Cobertura de Vacunación, biology.protein, Immunization, business, Measles
Abstract: The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1–4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5–8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children., Although progress in the coverage of routine measles vaccination in children in low- and middle-income countries was made during 2000–2019, many countries remain far from the goal of 80% coverage in all districts by 2019.
Published: 2021

21. Defining events: 2020 in hindsight

Author: Protzko, J, Tanner, IZ, Dedyo, MD, Fu, JJ, Perma, B, Friedman, DA, Blidner, AG, Johnston, JT, Srivastava, AK, Ruscher, R, Kupz, A, Tarselli, MA, Beardsley, F, Jensen, MM, Konstantinides, N, Agarwal, D, Yuen, J, Gopinath, SD, Duong, MT, Strong, M, Soták, M, Burnette, K, Kirshner, SN, Nikolaou, A, Ali, BA, de Oliveira, BA, Sojli, E, Protzko, J, Tanner, IZ, Dedyo, MD, Fu, JJ, Perma, B, Friedman, DA, Blidner, AG, Johnston, JT, Srivastava, AK, Ruscher, R, Kupz, A, Tarselli, MA, Beardsley, F, Jensen, MM, Konstantinides, N, Agarwal, D, Yuen, J, Gopinath, SD, Duong, MT, Strong, M, Soták, M, Burnette, K, Kirshner, SN, Nikolaou, A, Ali, BA, de Oliveira, BA, and Sojli, E
Published: 2021

22. Fishbone Stimulation a Game Changer for Tight Carbonate Productivity Enhancement, Case Study of First Successful Implementation at Adnoc Onshore Fields

Author: A.. Elbekshi, Sameer Punnapala, S. S. Al-Jaberi, Shamma AlShehhi, F. Omar Alkatheeri, Fernando Quintero, A. Bin Abd Rashid, R. V. Rachapudi, M.. Al Hashemi, Noor Talib, A. F. Loayza, S. M. Al Nuimi, W.. Chehabi, Daniel Gutierrez, Ali Ba Hussain, and T.. Yuliyanto
Subjects: chemistry.chemical_compound, chemistry, Carbonate, Agricultural engineering, Productivity, Geology
Abstract: Productivity enhancement of tight carbonate reservoirs (permeability 1-3 md) is critical to deliver the mandated production and to achieve the overall recovery. However, productivity improvement with conventional acid stimulation is very limited and short-lived. Tight reservoirs development with down spacing and higher number of infill wells can increase the oil recovery. Nevertheless, poor vertical communication (Kv/Kh < 0.5) within the layered reservoir is still a challenge for productivity enhancement and needs to be improved. First time successful installation of fishbone stimulation technology at ADNOC Onshore targeted establishing vertical communication between layers, in addition to maximizing the reservoir contact. Furthermore this advanced stimulation technology connects the natural fractures within the reservoir, bypasses near well bore damage and allows the thin sub layers to produce. This technology requires running standard lower completion tubing with Fishbone subs preloaded with 40ft needles, and stimulation with rig on site. This paper presents the case study of the fishbone stimulation technology implemented at one of the tight-layered carbonate reservoir. A new development well from ADNOC Onshore South East field was selected for implementation of this technology. The well completion consisting of 4 ½ liner with 40 fishbone subs was installed, each sub containing four needles at 90 degrees phasing capable of penetrating the reservoir up to 40 ft. While rig on site, acid job was conducted for creating jetting effect to penetrate the needles into the formation. Upon completion of jetting operation, fishbone basket run cleaned the unpenetrated needles present in the liner to establish the accessibility up to the total depth. Overall, application of this technology improved the well production rate to 1600 BOPD compared to 400 BOPD of production from nearby wells in the same PAD and reservoir. In addition the productivity of the candidate well improved by 2.5 times with respect to near-by wells in the same PAD. Currently, long-term sustainability testing preparation is in progress. This paper provides the details of candidate selection, completion design, technology limitations, operational challenges, post job testing and lessons learned during pilot implementation. In summary, successful application of this technology is a game changer for tight carbonate productivity enhancement that improves the overall recovery along with optimizing the drilling requirements. Currently, preparation for implementation of 10 pilots in one of the asset at ADNOC Onshore fields is in progress.
Published: 2020

23. Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017

Author: James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, S Roberts, NL, Sylte, DO, Henry, NJ, LeGrand, KE, Abdelalim, A, Abdoli, A, Abdollahpour, I, Abdulkader, RS, Abedi, A, Abosetugn, AE, Abushouk, AI, Adebayo, OM, Agudelo-Botero, M, Ahmad, T, Ahmed, R, Ahmed, MB, Eddine Aichour, MT, Alahdab, F, Alamene, GM, Alanezi, FM, Alebel, A, Alema, NM, Alghnam, SA, Al-Hajj, S, Ali, BA, Ali, S, Alikhani, M, Alinia, C, Alipour, V, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Altirkawi, K, Abdeldayem Amer, YS, Amini, S, Loreche Amit, AM, Andrei, CL, Ansari-Moghaddam, A, T Antonio, CA, Yaw Appiah, SC, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Asghari, B, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Azari, S, Azarian, G, Badawi, A, Badiye, AD, Bagli, E, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barrero, LH, Barzegar, A, Bayati, M, Baye, BA, Bedi, N, Behzadifar, M, Bekuma, TT, Belete, H, Benjet, C, Bennett, DA, Bensenor, IM, Berhe, K, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bibi, S, Bijani, A, Bin Sayeed, MS, Borges, G, Borzì, AM, Boufous, S, Brazinova, A, Briko, NI, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chanie, WF, Chattu, SK, Chattu, VK, Chatziralli, I, Chaudhary, N, Cho, DY, Kabir Chowdhury, MA, Chu, D-T, Colquhoun, SM, Constantin, M-M, Costa, VM, Damiani, G, Daryani, A, Dávila-Cervantes, CA, Demeke, FM, Demis, AB, Demoz, GT, Demsie, DG, Derakhshani, A, Deribe, K, Desai, R, Nasab, MD, da Silva, DD, Dibaji Forooshani, ZS, Doyle, KE, Driscoll, TR, Dubljanin, E, Adema, BD, Eagan, AW, Eftekhari, A, Ehsani-Chimeh, E, Sayed Zaki, ME, Elemineh, DA, El-Jaafary, SI, El-Khatib, Z, Ellingsen, CL, Emamian, MH, Endalew, DA, Eskandarieh, S, Faris, PS, Faro, A, Farzadfar, F, Fatahi, Y, Fekadu, W, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Feyissa, GT, Filip, I, Fischer, F, Folayan, MO, Foroutan, M, Francis, JM, Franklin, RC, Fukumoto, T, Geberemariyam, BS, Gebre, AK, Gebremedhin, KB, Gebremeskel, GG, Gebremichael, B, Gedefaw, GA, Geta, B, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gholamian, A, Gill, TK, Goulart, AC, Grada, A, Grivna, M, Mohialdeen Gubari, MI, Guimarães, RA, Guo, Y, Gupta, G, Haagsma, JA, Hafezi-Nejad, N, Bidgoli, HH, Hall, BJ, Hamadeh, RR, Hamidi, S, Haro, JM, Hasan, MM, Hasanzadeh, A, Hassanipour, S, Hassankhani, H, Hassen, HY, Havmoeller, R, Hayat, K, Hendrie, D, Heydarpour, F, Híjar, M, Ho, HC, Hoang, CL, Hole, MK, Holla, R, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Hu, G, Ibitoye, SE, Ilesanmi, OS, Ilic, I, Ilic, MD, Inbaraj, LR, Indriasih, E, Naghibi Irvani, SS, Shariful Islam, SM, Islam, MM, Ivers, RQ, Jacobsen, KH, Jahani, MA, Jahanmehr, N, Jakovljevic, M, Jalilian, F, Jayaraman, S, Jayatilleke, AU, Jha, RP, John-Akinola, YO, Jonas, JB, Joseph, N, Joukar, F, Jozwiak, JJ, Jungari, SB, Jürisson, M, Kabir, A, Kadel, R, Kahsay, A, Kalankesh, LR, Kalhor, R, Kamil, TA, Kanchan, T, Kapoor, N, Karami, M, Kasaeian, A, Kassaye, HG, Kavetskyy, T, Kebede, HK, Keiyoro, PN, Kelbore, AG, Kelkay, B, Khader, YS, Khafaie, MA, Khalid, N, Khalil, IA, Khalilov, R, Khammarnia, M, Khan, EA, Khan, M, Khanna, T, Khazaie, H, Shadmani, FK, Khundkar, R, Kiirithio, DN, Kim, Y-E, Kim, D, Kim, YJ, Kisa, A, Kisa, S, Komaki, H, M Kondlahalli, SK, Korshunov, VA, Koyanagi, A, G Kraemer, MU, Krishan, K, Bicer, BK, Kugbey, N, Kumar, V, Kumar, N, Kumar, GA, Kumar, M, Kumaresh, G, Kurmi, OP, Kuti, O, Vecchia, CL, Lami, FH, Lamichhane, P, Lang, JJ, Lansingh, VC, Laryea, DO, Lasrado, S, Latifi, A, Lauriola, P, Leasher, JL, Huey Lee, SW, Lenjebo, TL, Levi, M, Li, S, Linn, S, Liu, X, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Madadin, M, El Razek, MMA, Mahotra, NB, Majdan, M, Majeed, A, Malagon-Rojas, JN, Maled, V, Malekzadeh, R, Malta, DC, Manafi, N, Manafi, A, Manda, A-L, Manjunatha, N, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Maravilla, JC, March, LM, Mason-Jones, AJ, Masoumi, SZ, Massenburg, BB, Maulik, PK, Meles, GG, Melese, A, Melketsedik, ZA, N Memiah, PT, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, MM, Meretoja, TJ, Meretoja, A, Merie, HE, Mestrovic, T, Miazgowski, B, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mirzaei-Alavijeh, M, Mithra, P, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, Y, Mohammad, KA, Darwesh, AM, Gholi Mezerji, NM, Mohammadian-Hafshejani, A, Mohammadoo-Khorasani, M, Mohammadpourhodki, R, Mohammed, S, Mohammed, JA, Mohebi, F, Molokhia, M, Monasta, L, Moodley, Y, Moosazadeh, M, Moradi, M, Moradi, G, Moradi-Lakeh, M, Moradpour, F, Morawska, L, Velásquez, IM, Morisaki, N, Morrison, SD, Mossie, TB, Muluneh, AG, Murthy, S, Musa, KI, Mustafa, G, Nabhan, AF, Nagarajan, AJ, Naik, G, Naimzada, MD, Najafi, F, Nangia, V, Nascimento, BR, Naserbakht, M, Nayak, V, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, CT, Thi Nguyen, HL, Nikbakhsh, R, Anggraini Ningrum, DN, Nnaji, CA, Nyasulu, PS, Ogbo, FA, Oghenetega, OB, Oh, I-H, Okunga, EW, Olagunju, AT, Olagunju, TO, Bali, AO, Onwujekwe, OE, Asante, KO, Orpana, HM, Ota, E, Otstavnov, N, Otstavnov, SS, A, MP, Padubidri, JR, Pakhale, S, Pakshir, K, Panda-Jonas, S, Park, E-K, Patel, SK, Pathak, A, Pati, S, Patton, GC, Paulos, K, Peden, AE, Filipino Pepito, VC, Pereira, J, Pham, HQ, Phillips, MR, Pinheiro, M, Polibin, RV, Polinder, S, Poustchi, H, Prakash, S, Angga Pribadi, DR, Puri, P, Syed, ZQ, Rabiee, M, Rabiee, N, Radfar, A, Rafay, A, Rafiee, A, Rafiei, A, Rahim, F, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ranganathan, K, Rao, SJ, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, S, Rawal, L, Rawassizadeh, R, Renjith, V, N Renzaho, AM, Resnikoff, S, Rezapour, A, Ribeiro, AI, Rickard, J, Rios González, CM, Ronfani, L, Roshandel, G, Saad, AM, Sabde, YD, Sabour, S, Saddik, B, Safari, S, Safari-Faramani, R, Safarpour, H, Safdarian, M, Sajadi, SM, Salamati, P, Salehi, F, Zahabi, SS, Rashad Salem, MR, Salem, H, Salman, O, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Santric Milicevic, MM, Sarker, AR, Sarveazad, A, Sathian, B, Sawhney, M, Sawyer, SM, Saxena, S, Sayyah, M, Schwebel, DC, Seedat, S, Senthilkumaran, S, Sepanlou, SG, Seyedmousavi, S, Sha, F, Shaahmadi, F, Shahabi, S, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sharifi, H, Sheikh, A, Shigematsu, M, Shin, JI, Shiri, R, Siabani, S, Sigfusdottir, ID, Singh, PK, Singh, JA, Sinha, DN, Smarandache, C-G, R Smith, EU, Soheili, A, Soleymani, B, Soltanian, AR, Soriano, JB, Sorrie, MB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Rasul Suleria, HA, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taddele, BW, Tadesse, DB, Tamiru, AT, Tarigan, IU, Tefera, YM, Tehrani-Banihashemi, A, Tekle, MG, Tekulu, GH, Tesema, AK, Tesfay, BE, Thapar, R, Tilahune, AB, Tlaye, KG, Tohidinik, HR, Topor-Madry, R, Tran, BX, Tran, KB, Tripathy, JP, Tsai, AC, Car, LT, Ullah, S, Ullah, I, Umar, M, Unnikrishnan, B, Upadhyay, E, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Weldesamuel, GT, Werdecker, A, Wiangkham, T, Wolde, HF, Woldeyes, DH, Wondafrash, DZ, Wondmeneh, TG, Wondmieneh, AB, Wu, A-M, Yadav, R, Yadollahpour, A, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Youm, Y, Younis, MZ, Yousefi, Z, Yu, Y, Yu, C, Yusefzadeh, H, Moghadam, TZ, Zaidi, Z, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zarei, A, Zare, F, Zhang, Z-J, Zhang, Y, Zodpey, S, Dandona, L, Dandona, R, Degenhardt, L, Dharmaratne, SD, Hay, SI, Mokdad, AH, Reiner, RC, Sartorius, B, and Vos, T
Subjects: Life Expectancy, Incidence, burden of disease, descriptive epidemiology, global, Humans, Wounds and Injuries, Public Health, Quality-Adjusted Life Years, Morbidity, Global Health, 1106 Human Movement and Sports Sciences, 1117 Public Health and Health Services, 1701 Psychology, Global Burden of Disease
Abstract: BACKGROUND: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries.; METHODS: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs).; FINDINGS: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100000. In 1990, there were 354064302 (95% uncertainty interval: 338174876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100000 to 3267 (3058 to 3505).; INTERPRETATION: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
Published: 2020

24. Estimating global injuries morbidity and mortality: Methods and data used in the Global Burden of Disease 2017 study

Author: James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, Roberts, NLS, Sylte, DO, Bertolacci, GJ, Cunningham, M, Henry, NJ, Legrand, KE, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abedi, A, Abegaz, KH, Abosetugn, AE, Abushouk, AI, Adebayo, OM, Adsuar, JC, Advani, SM, Agudelo-Botero, M, Ahmad, T, Ahmed, MB, Ahmed, R, Aichour, MTE, Alahdab, F, Alanezi, FM, Alema, NM, Alemu, BW, Alghnam, SA, Ali, BA, Ali, S, Alinia, C, Alipour, V, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Altirkawi, K, Amer, YSA, Andrei, CL, Ansari-Moghaddam, A, Antonio, CAT, Anvari, D, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Quintanilla, BPA, Ayano, G, Ayanore, MA, Azarian, G, Badawi, A, Badiye, AD, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barzegar, A, Bayati, M, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Belete, H, Bennett, DA, Bensenor, IM, Berhe, K, Bhagavathula, AS, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bijani, A, Boloor, A, Borges, G, Borschmann, R, Borzì, AM, Boufous, S, Braithwaite, D, Briko, NI, Brugha, T, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, Roberts, NLS, Sylte, DO, Bertolacci, GJ, Cunningham, M, Henry, NJ, Legrand, KE, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abedi, A, Abegaz, KH, Abosetugn, AE, Abushouk, AI, Adebayo, OM, Adsuar, JC, Advani, SM, Agudelo-Botero, M, Ahmad, T, Ahmed, MB, Ahmed, R, Aichour, MTE, Alahdab, F, Alanezi, FM, Alema, NM, Alemu, BW, Alghnam, SA, Ali, BA, Ali, S, Alinia, C, Alipour, V, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Altirkawi, K, Amer, YSA, Andrei, CL, Ansari-Moghaddam, A, Antonio, CAT, Anvari, D, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Quintanilla, BPA, Ayano, G, Ayanore, MA, Azarian, G, Badawi, A, Badiye, AD, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barzegar, A, Bayati, M, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Belete, H, Bennett, DA, Bensenor, IM, Berhe, K, Bhagavathula, AS, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bijani, A, Boloor, A, Borges, G, Borschmann, R, Borzì, AM, Boufous, S, Braithwaite, D, Briko, NI, Brugha, T, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, and Castelpietra, G
Abstract: Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.
Published: 2020

25. Department of Error: Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017 (The Lancet (2020) 395(10239) (1779–1801), (S0140673620301148), (10.1016/S0140-6736(20)30114-8))

Author: Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, Bekele, YA, Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, and Bekele, YA
Abstract: Reiner RC Jr, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395: 1779–801—In this Article, the author byline has been amended to Local Burden of Disease Diarrhoea Collaborators. This correction has been made to the online version as of June 4, 2020, and the printed version is correct.
Published: 2020

26. Author Correction: Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 (Nature Medicine, (2020), 26, 5, (750-759), 10.1038/s41591-020-0807-6)

Author: Kinyoki, DK, Ross, JM, Lazzar-Atwood, A, Munro, SB, Schaeffer, LE, Abbasalizad-Farhangi, M, Abbasi, M, Abbastabar, H, Abdelalim, A, Abdoli, A, Abdollahi, M, Abdollahpour, I, Abdulkader, RS, Abebe, ND, Abebo, TA, Abegaz, KH, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Acharya, D, Adabi, M, Adebiyi, AO, Adedeji, IA, Adekanmbi, V, Adeoye, AM, Adetokunboh, OO, Adham, D, Aduroja, PE, Advani, SM, Afarideh, M, Aghaali, M, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmadi, S, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akinyemiju, T, Akombi, B, Al-Aly, Z, Alam, S, Alamene, GM, Alanzi, TM, Rabanal, JEA, Alema, NM, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Al-Raddadi, RM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amegah, AK, Amini, S, Rarani, MA, Amiri, F, Amit, AML, Anber, NH, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Anteneh, ZA, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Araya, EM, Arefi, Z, Aremu, O, Ärnlöv, J, Arzani, A, Asadi-Aliabadi, M, Asadi-Pooya, AA, Asgari, S, Asghari, B, Ashagre, AF, Asrat, AA, Ataeinia, B, Atalay, HT, Atnafu, DD, Atout, MMW, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Kinyoki, DK, Ross, JM, Lazzar-Atwood, A, Munro, SB, Schaeffer, LE, Abbasalizad-Farhangi, M, Abbasi, M, Abbastabar, H, Abdelalim, A, Abdoli, A, Abdollahi, M, Abdollahpour, I, Abdulkader, RS, Abebe, ND, Abebo, TA, Abegaz, KH, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Acharya, D, Adabi, M, Adebiyi, AO, Adedeji, IA, Adekanmbi, V, Adeoye, AM, Adetokunboh, OO, Adham, D, Aduroja, PE, Advani, SM, Afarideh, M, Aghaali, M, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmadi, S, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akinyemiju, T, Akombi, B, Al-Aly, Z, Alam, S, Alamene, GM, Alanzi, TM, Rabanal, JEA, Alema, NM, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Al-Raddadi, RM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amegah, AK, Amini, S, Rarani, MA, Amiri, F, Amit, AML, Anber, NH, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Anteneh, ZA, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Araya, EM, Arefi, Z, Aremu, O, Ärnlöv, J, Arzani, A, Asadi-Aliabadi, M, Asadi-Pooya, AA, Asgari, S, Asghari, B, Ashagre, AF, Asrat, AA, Ataeinia, B, Atalay, HT, Atnafu, DD, Atout, MMW, Ausloos, M, Avokpaho, EFGA, and Awasthi, A
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2020

27. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: Analysis for the Global Burden of Disease Study 2017

Author: Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, Bekele, YA, Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, and Bekele, YA
Abstract: Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. Methods We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. Findings The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. Interpretation By co-analysing geospatial trends in diarrh
Published: 2020

28. Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

Author: Kinyoki, DK, Ross, JM, Lazzar-Atwood, A, Munro, SB, Schaeffer, LE, Abbasalizad-Farhangi, M, Abbasi, M, Abbastabar, H, Abdelalim, A, Abdoli, A, Abdollahi, M, Abdollahpour, I, Abdulkader, RS, Abebe, ND, Abebo, TA, Abegaz, KH, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Acharya, D, Adabi, M, Adebiyi, AO, Adedeji, IA, Adekanmbi, V, Adeoye, AM, Adetokunboh, OO, Adham, D, Aduroja, PE, Advani, SM, Afarideh, M, Aghaali, M, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmadi, S, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akinyemiju, T, Akombi, B, Al-Aly, Z, Alam, S, Alamene, GM, Alanzi, TM, Rabanal, JEA, Alema, NM, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Al-Raddadi, RM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amegah, AK, Amini, S, Rarani, MA, Amiri, F, Amit, AML, Anber, NH, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Anteneh, ZA, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Araya, EM, Arefi, Z, Aremu, O, Ärnlöv, J, Arzani, A, Asadi-Aliabadi, M, Asadi-Pooya, AA, Asgari, S, Asghari, B, Ashagre, AF, Asrat, AA, Ataeinia, B, Atalay, HT, Atnafu, DD, Atout, MMW, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Kinyoki, DK, Ross, JM, Lazzar-Atwood, A, Munro, SB, Schaeffer, LE, Abbasalizad-Farhangi, M, Abbasi, M, Abbastabar, H, Abdelalim, A, Abdoli, A, Abdollahi, M, Abdollahpour, I, Abdulkader, RS, Abebe, ND, Abebo, TA, Abegaz, KH, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Acharya, D, Adabi, M, Adebiyi, AO, Adedeji, IA, Adekanmbi, V, Adeoye, AM, Adetokunboh, OO, Adham, D, Aduroja, PE, Advani, SM, Afarideh, M, Aghaali, M, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmadi, S, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akinyemiju, T, Akombi, B, Al-Aly, Z, Alam, S, Alamene, GM, Alanzi, TM, Rabanal, JEA, Alema, NM, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Al-Raddadi, RM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amegah, AK, Amini, S, Rarani, MA, Amiri, F, Amit, AML, Anber, NH, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Anteneh, ZA, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Araya, EM, Arefi, Z, Aremu, O, Ärnlöv, J, Arzani, A, Asadi-Aliabadi, M, Asadi-Pooya, AA, Asgari, S, Asghari, B, Ashagre, AF, Asrat, AA, Ataeinia, B, Atalay, HT, Atnafu, DD, Atout, MMW, Ausloos, M, Avokpaho, EFGA, and Awasthi, A
Abstract: A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic.
Published: 2020

29. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17

Author: Wiens, KE, Lindstedt, PA, Blacker, BF, Johnson, KB, Baumann, MM, Schaeffer, LE, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abegaz, KH, Abejie, AN, Abreu, LG, Abrigo, MRM, Abualhasan, A, Accrombessi, MMK, Acharya, D, Adabi, M, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Afarideh, M, Ahmad, S, Ahmadi, K, Ahmed, AE, Ahmed, MB, Ahmed, R, Akalu, TY, Alahdab, F, Al-Aly, Z, Alam, N, Alam, S, Alamene, GM, Alanzi, TM, Alcalde-Rabanal, JE, Ali, BA, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, KA, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amini, S, Amit, AML, Andrei, CL, Anjomshoa, M, Anoushiravani, A, Ansari, F, Antonio, CAT, Antony, B, Antriyandarti, E, Arabloo, J, Aref, HMA, Aremu, O, Armoon, B, Arora, A, Aryal, KK, Arzani, A, Asadi-Aliabadi, M, Atalay, HT, Athari, SS, Athari, SM, Atre, SR, Ausloos, M, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azzopardi, PS, Babaee, E, Babalola, TK, Badawi, A, Bairwa, M, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Banoub, JAM, Barac, A, Bärnighausen, TW, Basaleem, H, Basu, S, Bay, VD, Bayati, M, Baye, E, Bedi, N, Beheshti, M, Behzadifar, M, Bekele, BB, Belayneh, YM, Bell, ML, Wiens, KE, Lindstedt, PA, Blacker, BF, Johnson, KB, Baumann, MM, Schaeffer, LE, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abegaz, KH, Abejie, AN, Abreu, LG, Abrigo, MRM, Abualhasan, A, Accrombessi, MMK, Acharya, D, Adabi, M, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Afarideh, M, Ahmad, S, Ahmadi, K, Ahmed, AE, Ahmed, MB, Ahmed, R, Akalu, TY, Alahdab, F, Al-Aly, Z, Alam, N, Alam, S, Alamene, GM, Alanzi, TM, Alcalde-Rabanal, JE, Ali, BA, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, KA, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amini, S, Amit, AML, Andrei, CL, Anjomshoa, M, Anoushiravani, A, Ansari, F, Antonio, CAT, Antony, B, Antriyandarti, E, Arabloo, J, Aref, HMA, Aremu, O, Armoon, B, Arora, A, Aryal, KK, Arzani, A, Asadi-Aliabadi, M, Atalay, HT, Athari, SS, Athari, SM, Atre, SR, Ausloos, M, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azzopardi, PS, Babaee, E, Babalola, TK, Badawi, A, Bairwa, M, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Banoub, JAM, Barac, A, Bärnighausen, TW, Basaleem, H, Basu, S, Bay, VD, Bayati, M, Baye, E, Bedi, N, Beheshti, M, Behzadifar, M, Bekele, BB, Belayneh, YM, and Bell, ML
Abstract: Background: Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and absolute coverage of ORS, RHF, and ORT (use of either ORS or RHF) in LMICs. Methods: We used a Bayesian geostatistical model including 15 spatial covariates and data from 385 household surveys across 94 LMICs to estimate annual proportions of children younger than 5 years of age with diarrhoea who received ORS or RHF (or both) on continuous continent-wide surfaces in 2000–17, and aggregated results to policy-relevant administrative units. Additionally, we analysed geographical inequality in coverage across administrative units and estimated the number of diarrhoeal deaths averted by increased coverage over the study period. Uncertainty in the mean coverage estimates was calculated by taking 250 draws from the posterior joint distribution of the model and creating uncertainty intervals (UIs) with the 2·5th and 97·5th percentiles of those 250 draws. Findings: While ORS use among children with diarrhoea increased in some countries from 2000 to 2017, coverage remained below 50% in the majority (62·6%; 12 417 of 19 823) of second administrative-level units and an estimated 6 519 000 children (95% UI 5 254 000–7 733 000) with diarrhoea were not treated with any form of ORT in 2017. Increases in ORS use corresponded with declines in RHF in many locations, resulting in relatively constant overall ORT covera
Published: 2020

30. Department of Error: Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017 (The Lancet (2020) 395(10239) (1779–1801)

Author: Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, Bekele, YA, Rahman, Muhammad Aziz, Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, Bekele, YA, and Rahman, Muhammad Aziz
Published: 2020

31. Department of Error.

Author: Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, Bekele, YA, Reiner, RC, Wiens, KE, Deshpande, A, Baumann, MM, Lindstedt, PA, Blacker, BF, Troeger, CE, Earl, L, Munro, SB, Abate, D, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, G, Abegaz, KH, Abreu, LG, Abrigo, MRM, Accrombessi, MMK, Acharya, D, Adabi, M, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adham, D, Adhena, BM, Afarideh, M, Ahmadi, K, Ahmadi, M, Ahmed, AE, Ahmed, MB, Ahmed, R, Ajumobi, O, Akal, CG, Akalu, TY, Akanda, AS, Alamene, GM, Alanzi, TM, Albright, JR, Alcalde Rabanal, JE, Alemnew, BT, Alemu, ZA, Ali, BA, Ali, M, Alijanzadeh, M, Alipour, V, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amini, S, Amit, AML, Andrei, CL, Anegago, MT, Anjomshoa, M, Ansari, F, Antonio, CAT, Antriyandarti, E, Appiah, SCY, Arabloo, J, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Lari, M, Ashagre, AF, Atalay, HT, Atique, S, Atre, SR, Ausloos, M, Avila-Burgos, L, Awasthi, A, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Ayele, AA, Aynalem, YA, Azari, S, Babaee, E, Badawi, A, Bakkannavar, SM, Balakrishnan, S, Bali, AG, Banach, M, Barac, A, Barnighausen, TW, Basaleem, H, Bassat, Q, Bayati, M, Bedi, N, Behzadifar, M, and Bekele, YA
Abstract: Reiner RC Jr, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395: 1779–801—In this Article, the author byline has been amended to Local Burden of Disease Diarrhoea Collaborators. This correction has been made to the online version as of June 4, 2020, and the printed version is correct.
Published: 2020

32. Fishbone Stimulation a Game Changer for Tight Carbonate Productivity Enhancement, Case Study of First Successful Implementation at Adnoc Onshore Fields

Author: Rachapudi, R. V., additional, Al-Jaberi, S. S., additional, Al Hashemi, M.., additional, Punnapala, S.., additional, Alshehhi, S. S., additional, Talib, N.., additional, Loayza, A. F., additional, Al Nuimi, S.., additional, Elbekshi, A.., additional, Quintero, F.., additional, Yuliyanto, T.., additional, Abd Rashid, A. Bin, additional, Alkatheeri, F. Omar, additional, Gutierrez, Daniel, additional, Chehabi, W.., additional, and Hussain, Ali Ba, additional
Published: 2020
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33. Cost Effectiveness of CFRP Repair Technique for Cold Formed Steel Beams

Author: H. G. Phalguna, Sivakumar Naganathan, Nahushananda Chakravarthy, Sreedhar Kalavagunta, Kamal Nasharuddin Mustapha, and Raed Saleh Ali Ba Bhakri
Subjects: Universal testing machine, Multidisciplinary, Materials science, business.industry, Cost effectiveness, 020101 civil engineering, 02 engineering and technology, Structural engineering, Cold-formed steel, 0201 civil engineering, law.invention, 020303 mechanical engineering & transports, 0203 mechanical engineering, Buckling, Deflection (engineering), law, Thin wall, Roll forming, business, Beam (structure)
Abstract: Objectives: Structural steel can be broadly classified into hot rolled steel and cold formed steel (CFS). CFS manufactured from roll forming or press braking operation. The main advantage of CFS sections are thin wall and light weight. These thin wall leads to buckling of structural member. This paper aims to study the capacity of Carbon Fibre Reinforced Polymer (CFRP) strengthened CFS channel beams, buckling behaviour, deflection and cost studies on CFRP strengthening. Methods/Statistical analysis: In this study three different length of CFS channel sections are selected for testing in which beams are tested for bending. All the beams were tested in plain section and CFRP strengthened series in universal testing machine. Findings: Experimental results shows the enhancement in capacity of beam due to CFRP strengthening. The local and distortional buckling modes were observed as failure modes. Experimental results were compared with maximum load resistance calculated by AISI specification which are in good agreement. Cost studies were compared on replacing a new member with CFRP strengthened channel member. Improvements/Applications: CFRP strengthening is suitable for enhancement of capacity of beams and repair. This CFRP strengthening technique can applied to reinforced concrete members, hot rolled steel, in filled steel tubes and bridges etc.
Published: 2017

34. From mitral valve prolapse to catheter ablation

Author: Sophie Le Page, Mouhamed-Ali Ba, Loïc Bière, and Adrien Pascaud
Subjects: medicine.medical_specialty, Mitral Valve Prolapse, business.industry, medicine.medical_treatment, Catheter ablation, Heart, Cardiac Ablation, medicine.disease, Magnetic Resonance Imaging, Surgery, Cardiac Imaging Techniques, Electrocardiography, medicine, Catheter Ablation, Mitral valve prolapse, Humans, Cardiology and Cardiovascular Medicine, business, Aged
Published: 2019

35. The effect of Quercus infectoria acorn on clinical, hematobiochemical parameters of pregnant albino rats

Author: Issa, Nawzat Aboziad, Ali, Balqees Ahmed, and Saed, Sulaiman Tamer
Published: 2023
Full Text: View/download PDF

36. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: James, SL, Theadom, A, Ellenbogen, RG, Bannick, MS, Mountjoy-Venning, WC, Lucchesi, LR, Abbasi, N, Abdulkader, R, Abraha, HN, Adsuar, JC, Afarideh, M, Agrawal, S, Ahmadi, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Akseer, N, Alahdab, F, Alebel, A, Alghnam, SA, Ali, BA, Alsharif, U, Altirkawi, K, Andrei, CL, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Ariani, F, Asefa, NG, Asgedom, SW, Atique, S, Awasthi, A, Quintanilla, BPA, Ayuk, TB, Azzopardi, PS, Badali, H, Badawi, A, Balalla, S, Banstola, A, Barker-Collo, SL, Barnighausen, TW, Bedi, N, Behzadifar, M, Bekele, BB, Belachew, AB, Belay, YA, Bennett, DA, Bensenor, IM, Berhane, A, Beuran, M, Bhalla, A, Bhaumik, S, Bhutta, ZA, Biadgo, B, Biffino, M, Bijani, A, Bililign, N, Birungi, C, Boufous, S, Brazinova, A, Brown, AW, Car, M, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Chaiah, Y, Champs, AP, Chang, J-C, Choi, J-YJ, Christopher, DJ, Cooper, C, Crowe, CS, Dandona, L, Dandona, R, Daryani, A, Davitoiu, DV, Degefa, MG, Demoz, GT, Deribe, K, Djalalinia, S, Huyen, PD, Doku, DT, Drake, TM, Dubey, M, Dubljanin, E, El-Khatib, Z, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Faro, A, Farzadfar, F, Farzaei, MH, Fereshtehnejad, S-M, Fernandes, E, Feyissa, GT, Filip, I, Fischer, F, Fukumoto, T, Ganji, M, Gankpe, FG, Gebre, AK, Gebrehiwot, TT, Gezae, KE, Gopalkrishna, G, Goulart, AC, Haagsma, JA, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Haro, JM, Hassankhani, H, Hassen, HY, Havmoeller, R, Hawley, C, Hay, SI, Hegazy, MI, Hendrie, D, Henok, A, Hibstu, DT, Hoffman, HJ, Hole, MK, Rad, EH, Hosseini, SM, Hostiuc, S, Hu, G, Hussen, MA, Ilesanmi, OS, Irvani, SN, Jakovljevic, M, Jayaraman, S, Jha, RP, Jonas, JB, Jones, KM, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kahsay, A, Kahssay, M, Kalani, R, Karch, A, Kasaeian, A, Kassa, GM, Kassa, TD, Kassa, ZY, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khalil, I, Khan, EA, Khan, MS, Khang, Y-H, Khazaie, H, Khoja, AT, Khubchandani, J, Kiadaliri, AA, Kim, D, Kim, Y-E, Kisa, A, Koyanagi, A, Krohn, KJ, Defo, BK, Bicer, BK, Kumar, GA, Kumar, M, Lalloo, R, Lami, FH, Lansingh, VC, Laryea, DO, Latifi, A, Leshargie, CT, Levi, M, Li, S, Liben, ML, Lotufo, PA, Lunevicius, R, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Manda, A-L, Mansournia, MA, Massenburg, BB, Mate, KKV, Mehndiratta, MM, Mehta, V, Meles, H, Melese, A, Memiah, PTN, Mendoza, W, Mengistu, G, Meretoja, A, Meretoja, TJ, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Moazen, B, Mohammadi, M, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradinazar, M, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Mustafa, G, Naghavi, M, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Negoi, I, Trang, HN, Nichols, E, Ningrum, DNA, Nirayo, YL, Nyasulu, PS, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Okoro, A, Olagunju, AT, Olagunju, TO, Olivares, PR, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Pakhale, S, Pandey, AR, Pesudovs, K, Pinilla-Monsalve, GD, Polinder, S, Poustchi, H, Prakash, S, Qorbani, M, Radfar, A, Rafay, A, Rafiei, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, MA, Rai, RK, Rajati, F, Ram, U, Rawaf, DL, Rawaf, S, Reiner, RC, Reis, C, Renzaho, AMN, Resnikoff, S, Rezaei, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Roy, N, Ruhago, GM, Saddik, B, Safari, H, Safiri, S, Sahraian, MA, Salamati, P, Saldanha, RDF, Samy, AM, Sanabria, J, Santos, JV, Milicevic, MMMS, Sartorius, B, Satpathy, M, Schneider, IJC, Schwebel, DC, Sepanlou, SG, Shabaninejad, H, Shaikh, MAA, Shams-Beyranvand, M, Sharif, M, Sharif-Alhoseini, M, Islam, SMS, She, J, Sheikh, A, Shen, J, Sheth, KN, Shibuya, K, Shiferaw, MS, Shigematsu, M, Shiri, R, Shiue, I, Shoman, H, Siabani, S, Siddiqi, TJ, Silva, JP, Silveira, DGA, Sinha, DN, Smith, M, Soares Filho, AM, Sobhani, S, Soofi, M, Soriano, JB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunguya, BF, Sunshine, JE, Sykes, BL, Szoeke, CEI, Tabares-Seisdedos, R, Ao, BJT, Tehrani-Banihashemi, A, Tekle, MG, Temsah, M-H, Temsah, O, Topor-Madry, R, Tortajada-Girbes, M, Bach, XT, Khanh, BT, Car, LT, Ukwaja, KN, Ullah, I, Usman, MS, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Wagnew, FS, Waheed, Y, Wang, Y-P, Weldegwergs, KG, Werdecker, A, Wijeratne, T, Winkler, AS, Wyper, GMA, Yano, Y, Yaseri, M, Yasin, YJ, Ye, P, Yimer, EM, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Yost, MG, Younis, MZ, Yousefifard, M, Yu, C, Zaidi, Z, Bin Zaman, S, Zamani, M, Zenebe, ZM, Zodpey, S, Feigin, VL, Vos, T, Murray, CJL, James, SL, Theadom, A, Ellenbogen, RG, Bannick, MS, Mountjoy-Venning, WC, Lucchesi, LR, Abbasi, N, Abdulkader, R, Abraha, HN, Adsuar, JC, Afarideh, M, Agrawal, S, Ahmadi, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Akseer, N, Alahdab, F, Alebel, A, Alghnam, SA, Ali, BA, Alsharif, U, Altirkawi, K, Andrei, CL, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Ariani, F, Asefa, NG, Asgedom, SW, Atique, S, Awasthi, A, Quintanilla, BPA, Ayuk, TB, Azzopardi, PS, Badali, H, Badawi, A, Balalla, S, Banstola, A, Barker-Collo, SL, Barnighausen, TW, Bedi, N, Behzadifar, M, Bekele, BB, Belachew, AB, Belay, YA, Bennett, DA, Bensenor, IM, Berhane, A, Beuran, M, Bhalla, A, Bhaumik, S, Bhutta, ZA, Biadgo, B, Biffino, M, Bijani, A, Bililign, N, Birungi, C, Boufous, S, Brazinova, A, Brown, AW, Car, M, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Chaiah, Y, Champs, AP, Chang, J-C, Choi, J-YJ, Christopher, DJ, Cooper, C, Crowe, CS, Dandona, L, Dandona, R, Daryani, A, Davitoiu, DV, Degefa, MG, Demoz, GT, Deribe, K, Djalalinia, S, Huyen, PD, Doku, DT, Drake, TM, Dubey, M, Dubljanin, E, El-Khatib, Z, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Faro, A, Farzadfar, F, Farzaei, MH, Fereshtehnejad, S-M, Fernandes, E, Feyissa, GT, Filip, I, Fischer, F, Fukumoto, T, Ganji, M, Gankpe, FG, Gebre, AK, Gebrehiwot, TT, Gezae, KE, Gopalkrishna, G, Goulart, AC, Haagsma, JA, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Haro, JM, Hassankhani, H, Hassen, HY, Havmoeller, R, Hawley, C, Hay, SI, Hegazy, MI, Hendrie, D, Henok, A, Hibstu, DT, Hoffman, HJ, Hole, MK, Rad, EH, Hosseini, SM, Hostiuc, S, Hu, G, Hussen, MA, Ilesanmi, OS, Irvani, SN, Jakovljevic, M, Jayaraman, S, Jha, RP, Jonas, JB, Jones, KM, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kahsay, A, Kahssay, M, Kalani, R, Karch, A, Kasaeian, A, Kassa, GM, Kassa, TD, Kassa, ZY, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khalil, I, Khan, EA, Khan, MS, Khang, Y-H, Khazaie, H, Khoja, AT, Khubchandani, J, Kiadaliri, AA, Kim, D, Kim, Y-E, Kisa, A, Koyanagi, A, Krohn, KJ, Defo, BK, Bicer, BK, Kumar, GA, Kumar, M, Lalloo, R, Lami, FH, Lansingh, VC, Laryea, DO, Latifi, A, Leshargie, CT, Levi, M, Li, S, Liben, ML, Lotufo, PA, Lunevicius, R, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Manda, A-L, Mansournia, MA, Massenburg, BB, Mate, KKV, Mehndiratta, MM, Mehta, V, Meles, H, Melese, A, Memiah, PTN, Mendoza, W, Mengistu, G, Meretoja, A, Meretoja, TJ, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Moazen, B, Mohammadi, M, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradinazar, M, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Mustafa, G, Naghavi, M, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Negoi, I, Trang, HN, Nichols, E, Ningrum, DNA, Nirayo, YL, Nyasulu, PS, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Okoro, A, Olagunju, AT, Olagunju, TO, Olivares, PR, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Pakhale, S, Pandey, AR, Pesudovs, K, Pinilla-Monsalve, GD, Polinder, S, Poustchi, H, Prakash, S, Qorbani, M, Radfar, A, Rafay, A, Rafiei, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, MA, Rai, RK, Rajati, F, Ram, U, Rawaf, DL, Rawaf, S, Reiner, RC, Reis, C, Renzaho, AMN, Resnikoff, S, Rezaei, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Roy, N, Ruhago, GM, Saddik, B, Safari, H, Safiri, S, Sahraian, MA, Salamati, P, Saldanha, RDF, Samy, AM, Sanabria, J, Santos, JV, Milicevic, MMMS, Sartorius, B, Satpathy, M, Schneider, IJC, Schwebel, DC, Sepanlou, SG, Shabaninejad, H, Shaikh, MAA, Shams-Beyranvand, M, Sharif, M, Sharif-Alhoseini, M, Islam, SMS, She, J, Sheikh, A, Shen, J, Sheth, KN, Shibuya, K, Shiferaw, MS, Shigematsu, M, Shiri, R, Shiue, I, Shoman, H, Siabani, S, Siddiqi, TJ, Silva, JP, Silveira, DGA, Sinha, DN, Smith, M, Soares Filho, AM, Sobhani, S, Soofi, M, Soriano, JB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunguya, BF, Sunshine, JE, Sykes, BL, Szoeke, CEI, Tabares-Seisdedos, R, Ao, BJT, Tehrani-Banihashemi, A, Tekle, MG, Temsah, M-H, Temsah, O, Topor-Madry, R, Tortajada-Girbes, M, Bach, XT, Khanh, BT, Car, LT, Ukwaja, KN, Ullah, I, Usman, MS, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Wagnew, FS, Waheed, Y, Wang, Y-P, Weldegwergs, KG, Werdecker, A, Wijeratne, T, Winkler, AS, Wyper, GMA, Yano, Y, Yaseri, M, Yasin, YJ, Ye, P, Yimer, EM, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Yost, MG, Younis, MZ, Yousefifard, M, Yu, C, Zaidi, Z, Bin Zaman, S, Zamani, M, Zenebe, ZM, Zodpey, S, Feigin, VL, Vos, T, and Murray, CJL
Abstract: BACKGROUND: Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. FINDINGS: In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30-30·30 million) new cases of TBI and 0·93 million (0·78-1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331-412) per 100 000 population for TBI and 13 (11-16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50
Published: 2019

37. The global burden of typhoid and paratyphoid fevers: a systematic analysis for the Global Burden of Disease Study 2017

Author: Stanaway, JD, Reiner, RC, Blacker, BF, Goldberg, EM, Khalil, IA, Troeger, CE, Andrews, JR, Bhutta, ZA, Crump, JA, Im, J, Marks, F, Mintz, E, Park, SE, Zaidi, AKM, Abebe, Z, Abejie, AN, Adedeji, IA, Ali, BA, Amare, AT, Atalay, HT, Avokpaho, EFGA, Bacha, U, Barac, A, Bedi, N, Berhane, A, Browne, AJ, Chirinos, JL, Chitheer, A, Dolecek, C, Zaki, MES, Eshrati, B, Foreman, KJ, Gemechu, A, Gupta, R, Hailu, GB, Henok, A, Hibstu, DT, Chi, LH, Ilesanmi, OS, Iyer, VJ, Kahsay, A, Kasaeian, A, Kassa, TD, Khan, EA, Khang, Y-H, El Razek, HMA, Melku, M, Mengistu, DT, Mohammad, KA, Mohammed, S, Mokdad, AH, Nachega, JB, Naheed, A, Cuong, TN, Huong, LTN, Long, HN, Nam, BN, Trang, HN, Nirayo, YL, Pangestu, T, Patton, GC, Qorbani, M, Rai, RK, Rana, SM, Ranabhat, CL, Roba, KT, Roberts, NLS, Rubino, S, Safiri, S, Sartorius, B, Sawhney, M, Shiferaw, MS, Smith, DL, Sykes, BL, Bach, XT, Tung, TT, Ukwaja, KN, Giang, TV, Linh, GV, Weldegebreal, F, Yenit, MK, Murray, CJL, Hay, SI, Stanaway, JD, Reiner, RC, Blacker, BF, Goldberg, EM, Khalil, IA, Troeger, CE, Andrews, JR, Bhutta, ZA, Crump, JA, Im, J, Marks, F, Mintz, E, Park, SE, Zaidi, AKM, Abebe, Z, Abejie, AN, Adedeji, IA, Ali, BA, Amare, AT, Atalay, HT, Avokpaho, EFGA, Bacha, U, Barac, A, Bedi, N, Berhane, A, Browne, AJ, Chirinos, JL, Chitheer, A, Dolecek, C, Zaki, MES, Eshrati, B, Foreman, KJ, Gemechu, A, Gupta, R, Hailu, GB, Henok, A, Hibstu, DT, Chi, LH, Ilesanmi, OS, Iyer, VJ, Kahsay, A, Kasaeian, A, Kassa, TD, Khan, EA, Khang, Y-H, El Razek, HMA, Melku, M, Mengistu, DT, Mohammad, KA, Mohammed, S, Mokdad, AH, Nachega, JB, Naheed, A, Cuong, TN, Huong, LTN, Long, HN, Nam, BN, Trang, HN, Nirayo, YL, Pangestu, T, Patton, GC, Qorbani, M, Rai, RK, Rana, SM, Ranabhat, CL, Roba, KT, Roberts, NLS, Rubino, S, Safiri, S, Sartorius, B, Sawhney, M, Shiferaw, MS, Smith, DL, Sykes, BL, Bach, XT, Tung, TT, Ukwaja, KN, Giang, TV, Linh, GV, Weldegebreal, F, Yenit, MK, Murray, CJL, and Hay, SI
Abstract: BACKGROUND: Efforts to quantify the global burden of enteric fever are valuable for understanding the health lost and the large-scale spatial distribution of the disease. We present the estimates of typhoid and paratyphoid fever burden from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, and the approach taken to produce them. METHODS: For this systematic analysis we broke down the relative contributions of typhoid and paratyphoid fevers by country, year, and age, and analysed trends in incidence and mortality. We modelled the combined incidence of typhoid and paratyphoid fevers and split these total cases proportionally between typhoid and paratyphoid fevers using aetiological proportion models. We estimated deaths using vital registration data for countries with sufficiently high data completeness and using a natural history approach for other locations. We also estimated disability-adjusted life-years (DALYs) for typhoid and paratyphoid fevers. FINDINGS: Globally, 14·3 million (95% uncertainty interval [UI] 12·5-16·3) cases of typhoid and paratyphoid fevers occurred in 2017, a 44·6% (42·2-47·0) decline from 25·9 million (22·0-29·9) in 1990. Age-standardised incidence rates declined by 54·9% (53·4-56·5), from 439·2 (376·7-507·7) per 100 000 person-years in 1990, to 197·8 (172·0-226·2) per 100 000 person-years in 2017. In 2017, Salmonella enterica serotype Typhi caused 76·3% (71·8-80·5) of cases of enteric fever. We estimated a global case fatality of 0·95% (0·54-1·53) in 2017, with higher case fatality estimates among children and older adults, and among those living in lower-income countries. We therefore estimated 135·9 thousand (76·9-218·9) deaths from typhoid and paratyphoid fever globally in 2017, a 41·0% (33·6-48·3) decline from 230·5 thousand (131·2-372·6) in 1990. Overall, typhoid and paratyphoid fevers were responsible for 9·8 million (5·6-15·8) DALYs in 2017, down 43·0% (35·5-50·6) from 17·2 million (9·9-27·8) DALYs in 1990. I
Published: 2019

38. Isolation and evaluation of biological efficacy of quercetol in human hepatic carcinoma cells

Author: Ali H, Dixit S, Ali D, Alkahtane AA, Alarifi S, Ali BA, and Alkahtani S
Subjects: Quercetol, MTT assay, lcsh:Therapeutics. Pharmacology, FTIR, lcsh:RM1-950, Apoptosis, HepG2 cells, Comet assay, NMR
Abstract: Huma Ali,1 Savita Dixit,1 Daoud Ali,2 Abdullah A Alkahtane,2 Saud Alarifi,2 Bahy A Ali,2,3 Saad Alkahtani2 1Department of Chemistry, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India; 2Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia; 3Department of Nucleic Acids Research, Genetic Engineering and Biotechnology Research Institute, City Science Research and Technology Application, Alexandria, Egypt Abstract: Quercetol is a polyphenolic molecule present in vegetables and fruits, and is beneficial to human and animal health. The current work aimed to test cytotoxic and apoptotic effects of quercetol on HepG2 cells. Quercetol was isolated from Ocimum sanctum and characterized by gas chromatography–tandom mass spectrometry (GC-MS/MS), nuclear magnetic resonance spectroscopy, and Fourier transform infrared spectroscopy. Quercetol (50–600 µg/mL) was examined for cytotoxic activity by tetrazolium salt and neutral red uptake tests and comet assay for genotoxicity, using HepG2 cells, over 24 hours. Data from 3-(4,5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide and neutral red uptake tests demonstrated quercetol-induced cytotoxicity in HepG2 cells in a concentration-dependent manner. With 4',6-diamidino-2-phenylindole staining, a significant induction of chromosomal condensation was observed at 300 µg/mL of quercetol. DNA fragmentation analysis showed that quercetol produced cell death in HepG2 cells in a concentration-dependent manner. Thus, our study suggests that an environmentally relevant concentration of quercetol, which was a chemically standardized extract from O. sanctum, induced cell death and DNA damage in HepG2 cells. Keywords: NMR, FTIR, quercetol, HepG2 cells, MTT assay, apoptosis, comet assay
Published: 2016

39. Severe Acute Malnutrition among Hospitalized Children, Aden, Yemen

Author: Iman Ali Ba-Saddik and Mohammed Ali Badi
Subjects: 0301 basic medicine, Pediatrics, medicine.medical_specialty, 030109 nutrition & dietetics, High prevalence, business.industry, Severe Acute Malnutrition, Significant difference, Prevalence, Kwashiorkor, Standard score, medicine.disease, 03 medical and health sciences, Pneumonia, 0302 clinical medicine, medicine, Marasmus, 030212 general & internal medicine, business
Abstract: Objective: Severe acute malnutrition (SAM) is one of the most common causes of morbidity and mortality among children under 5 years of age worldwide. The aim of this study was to find out the prevalence of SAM among hospitalized children at Al-Wahda teaching hospital in Aden, Yemen. Methods: This descriptive cross-sectional hospital based study was conducted on 622 hospitalized children (336 males and 286 females) below 6 years of age during 2012-2013. SAM was defined as a very low weight for height (below-3 Z scores of the median WHO growth standards). Results: SAM was diagnosed in 622 children with prevalence rate of 5.2% from total 11,941 admissions during 24 months period. A higher proportion of patients were marasmus 586 (94.2%) and only 36 (5.8%) were kwashiorkor. Marasmus was common in
Published: 2016

40. Understanding the Influence of Structural Evolution Folding and Tilting on Hydrocarbon Accumulation Drainage and Imbibition and Reservoir Quality Diagenesis for Enhanced Field Development Planning, a Case Study of Lower Cretaceous Carbonate Reservoir, Abu Dhabi, UAE

Author: Atiqurrahman Bin Abd Rashid, Gokhan Aydinoglu, Mina Sameh Salib, Riaz Khan, Ali Ba Hussain, and Umer Farooq
Subjects: Geochemistry, Field development, 02 engineering and technology, 010502 geochemistry & geophysics, 01 natural sciences, Structural evolution, Cretaceous, Diagenesis, Folding (chemistry), chemistry.chemical_compound, 020401 chemical engineering, chemistry, Carbonate, Imbibition, 0204 chemical engineering, Drainage, Geology, 0105 earth and related environmental sciences
Abstract: In this study field, the objective was to identify the causes of low resistivity pay that was limited towards the southwest of the field. Restricting the focus only on diagenesis has not yielded conclusive explanations to delineate the affected area. Alternatively, investigating the influence of structural evolution (folding and tilting) on hydrocarbon charging mechanism and diagenesis has significantly contributed to a reasonable explanation. This, in turn, can potentially impact decisions related to reservoir characterization and field development planning. The field has adequate coverage of data from vertical (appraisal and observers) and horizontal wells (producers and injectors). The approach of structural flattening at different time intervals was applied in understanding the structural evolution of the field as part of regional tectonic history of the area. The delineation of areas in different paleo-positions has helped in grouping Wells into categories for thorough investigation. Detailed analyses of conventional and advanced logs, and core data were performed which included: petrographic analysis, pore throat and bound water evaluation, and assessment of resistivity log signatures in reference to the paleo-positions of the Wells. The structural evolution and corresponding hydrocarbon charging mechanisms (drainage and imbibition) have influenced the reservoir hydrocarbon saturation in the field from northeast to southwest. The northeast tilting was triggered by Zagros loading, combined with thermal uplift associated with Red Sea opening. This resulted in imbibition in the extreme northeast and second phase of primary drainage in the extreme southwest of the field. As a result, the area that was previously in water leg during early Tertiary provided more exposure to diagenetic processes which enhanced the total porosity (up to 5p.u.) with high bound water and low resistivity pay. The areal coverage within water leg has been well defined in this study by evaluating the positions of paleo structural closures and hydrocarbon charging mechanisms. This would be useful in capturing diagenetic overprint in properties modeling as well as defining appropriate rock types for better saturation height function and volumetric estimations in this area. Consequently, the field development strategy was to develop the central area, in the first phase, since it was less affected by fluids saturation variations caused by the structural evolution. The study has provided improvement in reservoir characterization techniques for well placement and enhanced field development planning. The methodology and approach used in this study are usually applied, to some extent, during exploration stages or basin modeling at regional scale with limited data availability and it is not utilized enough for Well placement and reserves estimations in the development stage. The approach applied here, with substantial data availability and integration, can potentially help in making decisions in the early development stage, allow successful field commissioning, and achieve initial production performance and target plateau.
Published: 2018

41. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: James, SL, Theadom, A, Ellenbogen, RG, Bannick, MS, Montjoy-Venning, W, Lucchesi, LR, Abbasi, N, Abdulkader, R, Abraha, HN, Adsuar, JC, Afarideh, M, Agrawal, S, Ahmadi, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Akseer, N, Alahdab, F, Alebel, A, Alghnam, SA, Ali, BA, Alsharif, U, Altirkawi, K, Andrei, CL, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Ariani, F, Asefa, NG, Asgedom, SW, Atique, S, Awasthi, A, Ayala Quintanilla, BP, Ayuk, TB, Azzopardi, PS, Badali, H, Badawi, A, Balalla, S, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Bedi, N, Behzadifar, M, Bekele, BB, Belachew, AB, Belay, YA, Bennett, DA, Bensenor, IM, Berhane, A, Beuran, M, Bhalla, A, Bhaumik, S, Bhutta, ZA, Biadgo, B, Biffino, M, Bijani, A, Bililign, N, Birungi, C, Boufous, S, Brazinova, A, Brown, AW, Car, M, Cárdenas, R, Carrero, JJ, Carvalho, F, Castañeda-Orjuela, CA, Catalá-López, F, Chaiah, Y, Champs, AP, Chang, JC, Choi, JYJ, Christopher, DJ, Cooper, C, Crowe, CS, Dandona, L, Dandona, R, Daryani, A, Davitoiu, DV, Degefa, MG, Demoz, GT, Deribe, K, Djalalinia, S, Do, HP, Doku, DT, Drake, TM, Dubey, M, Dubljanin, E, El-Khatib, Z, Ofori-Asenso, R, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Faro, A, Farzadfar, F, and Farzaei, MH
Subjects: Neurology & Neurosurgery
Abstract: © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. Methods: We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. Findings: In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30–30·30 million) new cases of TBI and 0·93 million (0·78–1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331–412) per 100 000 population for TBI and 13 (11–16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50 million (53·40–57·62 million) and of SCI was 27·04 million (24·98–30·15 million). From 1990 to 2016, the age-standardised prevalence of TBI increased by 8·4% (95% UI 7·7 to 9·2), whereas that of SCI did not change significantly (−0·2% [–2·1 to 2·7]). Age-standardised incidence rates increased by 3·6% (1·8 to 5·5) for TBI, but did not change significantly for SCI (−3·6% [–7·4 to 4·0]). TBI caused 8·1 million (95% UI 6·0–10·4 million) YLDs and SCI caused 9·5 million (6·7–12·4 million) YLDs in 2016, corresponding to age-standardised rates of 111 (82–141) per 100 000 for TBI and 130 (90–170) per 100 000 for SCI. Falls and road injuries were the leading causes of new cases of TBI and SCI in most regions. Interpretation: TBI and SCI constitute a considerable portion of the global injury burden and are caused primarily by falls and road injuries. The increase in incidence of TBI over time might continue in view of increases in population density, population ageing, and increasing use of motor vehicles, motorcycles, and bicycles. The number of individuals living with SCI is expected to increase in view of population growth, which is concerning because of the specialised care that people with SCI can require. Our study was limited by data sparsity in some regions, and it will be important to invest greater resources in collection of data for TBI and SCI to improve the accuracy of future assessments. Funding: Bill & Melinda Gates Foundation.
Published: 2018

42. Childhood cancer in Aden, Yemen

Author: Iman Ali Ba-Saddik
Subjects: Male, Cancer Research, Hepatoblastoma, medicine.medical_specialty, Pediatrics, Yemen, Adolescent, Epidemiology, Disease, Neoplasms, medicine, Humans, Registries, Child, Medulloblastoma, business.industry, Incidence, Incidence (epidemiology), Infant, Newborn, Infant, Astrocytoma, Cancer, Prognosis, medicine.disease, Surgery, Oncology, Child, Preschool, Blastoma, Female, Chondrosarcoma, business
Abstract: Cancer in children is increasingly recognized as a major and growing health problem in different developed and developing countries. In Yemen, it is still difficult to know the extent of cancer and its determinants among children. This study was conducted to determine the magnitude of childhood cancer in Aden and provide the preliminary baseline data by age and sex.Basic epidemiologic data was retrieved from all paediatric cancer15 years age registered in Aden Caner Registry (ACR), Yemen, from 1997 to 2006.The results showed a total of 483 childhood cancers15 years age comprising 12.7% of all registered malignancies with a male to female ratio of 1.5:1. The predominant age affected was 5-9 years in (38.3%) children. The most frequent cancer among Yemeni children was leukaemia 160 (33.1%) followed by lymphoma 152 (31.5%), CNS tumors 35 (7.2%) and bone tumours 25 (5.2%). An interesting and unusual finding was the frequency of acute myeloid leukaemia twice more common in female (66.7%) than male (33.3%). Lymphoma was the most common cancer in children5 years. An interesting comparison was the preponderance of non-Hodgkins's lymphoma over Hodgkin's disease (1.6:1) stronger in female (3:1) than male (1.25:1). Medulloblastoma was the most common CNS tumour followed by astrocytoma, an infrequent finding in childhood cancer. Osteosarcoma was the most frequent bone tumour (male:female ratio of 1.8:1). A female preponderance was noticed in chondrosarcoma that was not yet documented. The blastoma group was common in younger age group. Retinoblastoma and nephroblastoma predominated in female while neuroblastoma, hepatoblastoma and soft tissue sarcomas in male.It is concluded that there is a lower frequency of childhood cancer in Aden when compared with developed countries. It may explained by the fact that a large number of childhood cancers remain undiagnosed due to limitations of diagnostic facilities or under registration. Central paediatric hospitals should be provided with essential diagnostic and therapeutic services that should be freely available to all children with cancer.
Published: 2013

43. Histologic and apoptotic changes induced by titanium dioxide nanoparticles in the livers of rats

Author: Alarifi S, Ali D, Al-Doaiss AA, Ali BA, Ahmed M, and Al-Khedhairy AA
Subjects: Medicine (General), R5-920
Abstract: Saud Alarifi,1 Daoud Ali,1 Amin A Al-Doaiss,1,2 Bahy A Ali,1,3 Mukhtar Ahmed,1 Abdulaziz A Al-Khedhairy11Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia; 2Anatomy and Histology Department, Faculty of Medicine, Sana'a University, Sana'a, Republic of Yemen; 3Genetic Engineering and Biotechnology Research Institute, City for Scientific Research and Technology Applications, Alexandria, EgyptAbstract: Titanium dioxide (TiO2) nanoparticles are among the top five nanoparticles used in consumer products, paints, and pharmaceutical preparations. Given that exposure to such nanoparticles is mainly via the skin and inhalation, the present study was conducted in male Wistar albino rats (Rattus norvegicus). Our aim was to investigate the effect of TiO2 nanoparticles on hepatic tissue in an attempt to understand their toxicity and the potential effect of their therapeutic and diagnostic use. To investigate the effects of TiO2 nanoparticles on liver tissue, 30 healthy male Wistar albino rats were exposed to TiO2 nanoparticles at doses of 63 mg, 126 mg, and 252 mg per animal for 24 and 48 hours. Serum glutamate oxaloacetate transaminase and alkaline phosphatase activity was altered. Changes in hepatocytes can be summarized as hydropic degeneration, cloudy swelling, fatty degeneration, portal and lobular infiltration by chronic inflammatory cells, and congested dilated central veins. The histologic alterations observed might be an indication of hepatocyte injury due to the toxicity of TiO2 nanoparticles, resulting in an inability to deal with accumulated residues from the metabolic and structural disturbances caused by these nanoparticles. The appearance of cytoplasmic degeneration and destruction of nuclei in hepatocytes suggests that TiO2 nanoparticles interact with proteins and enzymes in hepatic tissue, interfering with antioxidant defense mechanisms and leading to generation of reactive oxygen species which, in turn, may induce stress in hepatocytes, promoting atrophy, apoptosis, and necrosis. More immunohistochemical and ultrastructural investigations are needed in relation to TiO2 nanoparticles and their potential effects when used as therapeutic and diagnostic tools.Keywords: TiO2 nanoparticles, rats, liver, histology, TUNEL assay, alkaline phosphatase, apoptosis
Published: 2013

44. Arsenic trioxide-mediated oxidative stress and genotoxicity in human hepatocellular carcinoma cells

Author: Alarifi S, Ali D, Alkahtani S, Siddiqui MA, and Ali BA
Subjects: education, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282
Abstract: Saud Alarifi,1 Daoud Ali,1 Saad Alkahtani,1 Maqsood A Siddiqui,2 Bahy A Ali2,31Cell and Molecular Laboratory, Department of Zoology, Faculty of Science, King Saud University, Riyadh, Saudi Arabia; 2DNA Research Chair, Department of Zoology, Faculty of Science, King Saud University, Riyadh, Saudi Arabia; 3Genetic Engineering & Biotechnology Research Institute City for Scientific Research and Technology Applications, Alexandria, EgyptBackground: Arsenic is a ubiquitous environmental toxicant, and abnormalities of the skin, lung, kidney, and liver are the most common outcomes of long-term arsenic exposure. This study was designed to investigate the possible mechanisms of genotoxicity induced by arsenic trioxide in human hepatocellular carcinoma cells.Methods and results: A mild cytotoxic response of arsenic trioxide was observed in human hepatocellular carcinoma cells, as evident by (3-(4,5-dimethyl thiazol-2-yl)-2, 5-diphenyl tetrazolium bromide) and lactate dehydrogenase assays after 24 and 48 hours of exposure. Arsenic trioxide elicited a significant (P < 0.01) reduction in glutathione (15.67% and 26.52%), with a concomitant increase in malondialdehyde level (67.80% and 72.25%; P < 0.01), superoxide dismutase (76.42% and 81.09%; P < 0.01), catalase (73.33% and 76.47%; P < 0.01), and reactive oxygen species generation (44.04% and 56.14%; P < 0.01) after 24 and 48 hours of exposure, respectively. Statistically significant (P < 0.01) induction of DNA damage was observed by the comet assay in cells exposed to arsenic trioxide. It was also observed that apoptosis occurred through activation of caspase-3 and phosphatidylserine externalization in human hepatocellular carcinoma cells exposed to arsenic trioxide.Conclusion: The results demonstrate that arsenic trioxide induces apoptosis and genotoxicity in human hepatocellular carcinoma cells through reactive oxygen species and oxidative stress.Keywords: arsenic trioxide, DNA damage, hepatocellular carcinoma cells, oxidative stress, apoptosis
Published: 2013

45. Recuperative performance of 4-Cl-IAA and IAA in the fixation and assimilation of nitrogen in Vigna radiata

Author: Ali, Barket
Published: 2022
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46. Effect of participatory women's groups facilitated by Accredited Social Health Activists on birth outcomes in rural eastern India: a cluster-randomised controlled trial

Author: Prasanta Tripathy, MSc, Nirmala Nair, MBBS, Rajesh Sinha, PhD, Shibanand Rath, MA, Raj Kumar Gope, PGDRD, Suchitra Rath, MA, Swati Sarbani Roy, MA, Aparna Bajpai, MA, Vijay Singh, BA, Vikash Nath, MA, Sarfraz Ali, BA, Alok Kumar Kundu, MSc, Dibakar Choudhury, MSW, Sanjib Kumar Ghosh, MSW, Sanjay Kumar, BSc, Rajendra Mahapatra, MSc, Prof. Anthony Costello, FRCP, Edward Fottrell, PhD, Tanja A J Houweling, PhD, and Dr. Audrey Prost, PhD
Subjects: lcsh:Public aspects of medicine, lcsh:RA1-1270
Abstract: Background: A quarter of the world's neonatal deaths and 15% of maternal deaths happen in India. Few community-based strategies to improve maternal and newborn health have been tested through the country's government-approved Accredited Social Health Activists (ASHAs). We aimed to test the effect of participatory women's groups facilitated by ASHAs on birth outcomes, including neonatal mortality. Methods: In this cluster-randomised controlled trial of a community intervention to improve maternal and newborn health, we randomly assigned (1:1) geographical clusters in rural Jharkhand and Odisha, eastern India to intervention (participatory women's groups) or control (no women's groups). Study participants were women of reproductive age (15–49 years) who gave birth between Sept 1, 2009, and Dec 31, 2012. In the intervention group, ASHAs supported women's groups through a participatory learning and action meeting cycle. Groups discussed and prioritised maternal and newborn health problems, identified strategies to address them, implemented the strategies, and assessed their progress. We identified births, stillbirths, and neonatal deaths, and interviewed mothers 6 weeks after delivery. The primary outcome was neonatal mortality over a 2 year follow up. Analyses were by intention to treat. This trial is registered with ISRCTN, number ISRCTN31567106. Findings: Between September, 2009, and December, 2012, we randomly assigned 30 clusters (estimated population 156 519) to intervention (15 clusters, estimated population n=82 702) or control (15 clusters, n=73 817). During the follow-up period (Jan 1, 2011, to Dec 31, 2012), we identified 3700 births in the intervention group and 3519 in the control group. One intervention cluster was lost to follow up. The neonatal mortality rate during this period was 30 per 1000 livebirths in the intervention group and 44 per 1000 livebirths in the control group (odds ratio [OR] 0.69, 95% CI 0·53–0·89). Interpretation: ASHAs can successfully reduce neonatal mortality through participatory meetings with women's groups. This is a scalable community-based approach to improving neonatal survival in rural, underserved areas of India. Funding: Big Lottery Fund (UK).
Published: 2016

47. P1113Relationship between left atrium and hypertensive retinopathy in patients with systemic hypertension: a real-time three-dimensional echocardiography-based studyP1114Detection of early left ventricular systolic dysfunction in hypertensive patients with preserved ejection fraction using deformation imagingP1115Left ventricular strain in systemic sclerosis with and without pulmonary hypertension; a cardiac magnetic resonance studyP1116End-stage chronic kidney disease and routine annual transthoracic echocardiograpyP1117arrhythmogenic right ventricular cardiomyopathy or athlete's heart adaptations ?P1118Reduced left ventricular function in long term follow-up in women with previous severe preeclampsiaP1119Preload dependent changes of left ventricular twisting and torsion during pregnancy: a three-dimensional strain studyP1120Pre-procedural renal resistive index predicts contrast-induced acute kidney injury following coronary angiographyP1121Simplified 10 point ultrasound in diagnosis of pulmonary congestion in heart failureP1122Pulmonary and systemic vascular resistance during graded exercise in patients with ventricular septal defect repair versus healthy controlsP1123Effect of percutaneous stent implantation on arterial hypertension and aortic flow dynamics in patients with aortic coarctation: identification of responders and non respondersP1124The use of vitamin k antagonists is associated with increased levels of vascular calcification in low-risk patients with atrial fibrillationP1125Stress echo positivity predicts cancer deathP1126Assessment of the agreement between instantaneous wave-free ratio (iFR) and dobutamine stress echo in real world stable angina patientsP1127Impact of AVAproj on severity reclassification of LFLG AS with persistent area - gradient discordanceP1128 The prognostic value of rest and exercise- induced B-lines in heart failure patientsP1129Stress-induced worsening of left ventricular diastolic function as a new marker of myocardial ischemia: a retrospective observational studyP1130Prediction and management of stable angina in senior populationP1131Risk assessment of coronary heart desease in men before revascularization of non-coronary arteriesP1132Relation of elevated C - reactive protien level to left atrial size and left atrial thrombus in patients with valvular and non-valvular atrial fibrillationP1133Transesophageal echocardiographic assessment of left atrial appendage function as a cardioembolic source in atrial fibrillationP1134Correlations of three-dimensional mitral valve geometry with chronic ischemic mitral regurgitation severity in compliance with tethering phenotypesP1135Aortic root physiology in patients with aortic valvulopathyP1136Comparison of layer-specific strain to other contemporary deformation parameters for coronary artery disease prediction in patients with non-ST-segment elevation acute coronary syndromeP1137Machine-learning based diagnosis of heart failure with preserved ejection fraction: how much do we agree with the guidelines?

Author: Kanar, B., primary, Hamdy, RM., primary, Lindholm, A., primary, Puga, L., primary, Zaroui, A., primary, Groenningsaeter, L., primary, Sorrentino, R., primary, Wybraniec, M., primary, Tsverava, M., primary, Gabriels, C., primary, Laik, J., primary, Peeters, FECM, primary, Carpeggiani, C., primary, Keramida, K., primary, Moura Ferreira, J., primary, Scali, MC., primary, Chammas, E., primary, Cirkovic, S., primary, Naiden, TV., primary, Abdel Razek, GA., primary, Hafez Mohamed, EMAN, primary, Andrianova, A., primary, Boretti, I., primary, Murat, G., primary, Sanchez-Martinez, S., primary, Kanar, HS., additional, Karatay, A., additional, Tigen, MK., additional, Hamdy, AM., additional, Fereig, HM., additional, Ali, BA., additional, Hesselstrand, R., additional, Radegran, G., additional, Ostenfeld, E., additional, Ribeiro, J., additional, Teixeira, R., additional, Costa, M., additional, Goncalves, L., additional, Rezine, Z., additional, Drissi, MF., additional, Mechmeche, R., additional, Langesaeter, E., additional, Estensen, ME., additional, Esposito, R., additional, Santoro, C., additional, Pezzullo, E., additional, Schiano-Lomoriello, V., additional, Petitto, M., additional, Riccardi, C., additional, Di Carlo, C., additional, Trimarco, B., additional, Galderisi, M., additional, Bozentowicz-Wikarek, M., additional, Chudek, J., additional, Mizia-Stec, K., additional, Tsverava, DM., additional, Fresiello, L., additional, Van De Bruaene, A., additional, Helsen, F., additional, Budts, W., additional, Buys, R., additional, Iriart, X., additional, Jalal, Z., additional, Moceri, P., additional, Squara, F., additional, Farrugia, G., additional, Thambo, J-B, additional, Dudink, EAMP, additional, Weijs, B., additional, Altintas, S., additional, Kimenai, DM., additional, Heckman, L., additional, Das, M., additional, Meex, SJR, additional, Kietselaer, BLJH, additional, Crijns, HJGM, additional, Landi, P., additional, Andreassi, MG., additional, Sicari, R., additional, Picano, E., additional, Panoulas, V., additional, Boleti, O., additional, Flessas, D., additional, Petropoulou, M., additional, Loizos, S., additional, Nihoyannopoulos, P., additional, Moreira, N., additional, Martins, R., additional, Ferreira, MJ., additional, Pego, M., additional, Cortigiani, L., additional, Simionuc, A., additional, Marzilli, M., additional, Mansour, M., additional, Jaroudi, W., additional, Mroueh, A., additional, Hamoui, O., additional, Hneine, W., additional, Khoury, N., additional, Abi Nassif, J., additional, Delic, Z., additional, Boskovic, N., additional, Rakocevic, I., additional, Giga, V., additional, Nedeljkovic, I., additional, Stepanovic, J., additional, Beleslin, B., additional, Djordjevic Dikic, A., additional, Bartosh-Zelenaya, SJ., additional, Elkhashab, KK., additional, Malwany, MM., additional, Mohamed Fereig, HANAA, additional, Abd Elazeez Hasan, OLA, additional, Saidova, MA., additional, Bolotova, MN., additional, Dobrovolskaya, SV., additional, Makeev, MI., additional, Fernandez-Golfin Loban, C., additional, Casas Rojo, E., additional, Gonzalez Gomez, A., additional, Del Val, D., additional, Berlot, B., additional, Garcia Martin, A., additional, Hinojar Baides, R., additional, Jimenez Nacher, JJ., additional, Moya Mur, JL., additional, Megias, A., additional, Zamorano Gomez, JL., additional, Cognet, T., additional, Mejean, S., additional, Bocquillon, L., additional, Bouisset, F., additional, Elbaz, M., additional, Galinier, M., additional, Carrie, D., additional, Lairez, O., additional, Gautier, M., additional, Duchateau, N., additional, Erdei, T., additional, Kunszt, G., additional, Degiovanni, A., additional, Carluccio, E., additional, Fraser, AG., additional, Piella, G., additional, and Bijnens, BH., additional
Published: 2016
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48. Differences in Characteristics of Adolescent Drug Abuse Clients That Predict to Improvement: For Inpatient Treatment versus Outpatient Treatment

Author: Asad Ali Ba, Arlene Terras MEd, and Alfred S. Friedman
Subjects: medicine.medical_specialty, Social Psychology, Age differences, business.industry, Treatment outcome, Public Health, Environmental and Occupational Health, Abuse clients, Predictor variables, medicine.disease, Education, Substance abuse, medicine, Substance use, business, Psychiatry, General Psychology, Adolescent drug
Abstract: The characteristics that predicted to treatment outcome were determined separately for 157 adolescent drag abusers who received inpatient treatment and for 296 adolescent drag abusers who received outpatient treatment. The outcome criterion used was the degree of reduction in substance use/abuse. Of 33 predictor variables analyzed, twelve were found to predict to inpatient outcome, and fifteen were found to predict to outpatient outcome. Only two variables, school, and not considering substance use to be harmful to one's health were found to predict to worse outcome for both treatment settings. A number of the characteristics found prognostic for adolescents are different from those reported earlier for adult substance abusers. For example, greater substance use/abuse at follow-up had been reported to be predicted by greater severity of alcohol and drag use at admission, for both inpatient and outpatient adults; but for the adolescents in this study, this was found only for the outpatient.
Published: 1998

49. Consumer attitudes towards healthy and organic food in the Kurdistan region of Iraq

Author: Ali, Bayad Jamal
Subjects: Business records management, HF5735-5746
Abstract: There has been increasing awareness of the benefits of healthy and organic food products as more knowledge has been gained on their effects on health, environment, social convenience and sustainable development. Acquiring insight into consumer attitudes is essential for the industry to grow. Compared with the rest of the world, the Kurdistan region of Iraq is still in the early stages of understanding the importance of healthy and organic food products. The study aim was to investigate the attitudes of Kurdish consumers concerning healthy and organic food. I administered an online survey to 452 respondents, and their responses were analysed by using descriptive statistics and performing correlation, linear regression and factor analysis. The findings indicated that health concerns were the main reason for healthy and organic food consumption. I also found that quality and taste were important factors in purchasing decisions and that consumers were willing to pay a premium price if these foods were available. However, there was a general lack of concern about food production effects on the environment and animal welfare. This research provides a new insight into the attitudes of Kurdish consumers in Iraq towards healthy and organic food. This population has not been covered before, which in turn will add to the literature on this subject.
Published: 2021
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50. he effect of information technology business alignment factors on performance of SMEs

Author: Slim, Ali Mechman, Sarah, Omar Siti, Kadhim, Kadhim Ghaffar, Ali, Bashar Jamal, Hammood, Ahmed Mohammed, and Othman, Bestoon
Subjects: Business records management, HF5735-5746
Abstract: Strategic IT-business alignment is being expanded by researchers and professionals owing to its beneficial effect on the performance of SMEs. Luftman (2000) [Luftman, J. (2000). Assessing business-IT alignment maturity. Communications of the Association of Information Systems, 4(14), 1–50.] created the Strategic Alignment Model (SAM), which integrates various alignment viewpoints to offer a cohesive perspective on IT-business alignment. While SAM was widely implemented for western IT studies by theoreticians and practitioners, its adoption is not evident in the Middle East with few available studies. The goal of this gap is to examine the effect of small and mediumsized enterprises (SMEs) in Iraq of three alignment styles (communication, governance and competency) listed in SAM. The findings of the current study verified the beneficial effect of all sorts of IT alignment centered on a survey of 228 owners, IT managers, but the latter has also shown a strong positive influence across various types of alignment. Theory and implementation implications are addressed, and more research recommendations are suggested.
Published: 2021
Full Text: View/download PDF

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