33 results on '"Immurana, M"'
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2. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
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Hmwe Hmwe Kyu, Avina Vongpradith, Sarah Brooke Sirota, Amanda Novotney, Christopher E Troeger, Matthew C Doxey, Rose G Bender, Jorge R Ledesma, Molly H Biehl, Samuel B Albertson, Joseph Jon Frostad, Katrin Burkart, Fiona B Bennitt, Jeff T Zhao, William M Gardner, Hailey Hagins, Dana Bryazka, Regina-Mae Villanueva Dominguez, Semagn Mekonnen Abate, Michael Abdelmasseh, Amir Abdoli, Gholamreza Abdoli, Aidin Abedi, Vida Abedi, Tadesse M Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Ahmed Abu-Zaid, Kidist Adamu, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Mostafa Akbarzadeh-Khiavi, Hanadi Al Hamad, Luciana Albano, Mamoon A Aldeyab, Bezatu Mengistie Alemu, Kefyalew Addis Alene, Abdelazeem M Algammal, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Musa Mohammed Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Adel Al-Jumaily, Syed Mohamed Aljunid, Sami Almustanyir, Rajaa M Al-Raddadi, Rami H Hani Al-Rifai, Saif Aldeen S AlRyalat, Nelson Alvis-Guzman, Nelson J Alvis-Zakzuk, Edward Kwabena Ameyaw, Javad Javad Aminian Dehkordi, John H Amuasi, Dickson A Amugsi, Etsay Woldu Anbesu, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Demelash Areda, Ayele Mamo Argaw, Zeleke Gebru Argaw, Judie Arulappan, Raphael Taiwo Aruleba, Mulusew A Asemahagn, Seyyed Shamsadin Athari, Daniel Atlaw, Engi F Attia, Sameh Attia, Avinash Aujayeb, Tewachew Awoke, Tegegn Mulatu Ayana, Martin Amogre Ayanore, Sina Azadnajafabad, Mohammadreza Azangou-Khyavy, Samad Azari, Amirhossein Azari Jafari, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Sara Bagherieh, Atif Amin Baig, Maciej Banach, Indrajit Banerjee, Mainak Bardhan, Francesco Barone-Adesi, Hiba Jawdat Barqawi, Amadou Barrow, Azadeh Bashiri, Quique Bassat, Abdul-Monim Mohammad Batiha, Abate Bekele Belachew, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Akshaya Srikanth Bhagavathula, Nikha Bhardwaj, Pankaj Bhardwaj, Parth Bhatt, Vijayalakshmi S Bhojaraja, Zulfiqar A Bhutta, Soumitra S Bhuyan, Ali Bijani, Saeid Bitaraf, Belay Boda Abule Bodicha, Nikolay Ivanovich Briko, Danilo Buonsenso, Muhammad Hammad Butt, Jiao Cai, Paulo Camargos, Luis Alberto Cámera, Promit Ananyo Chakraborty, Muluken Genetu Chanie, Jaykaran Charan, Vijay Kumar Chattu, Patrick R Ching, Sungchul Choi, Yuen Yu Chong, Sonali Gajanan Choudhari, Enayet Karim Chowdhury, Devasahayam J Christopher, Dinh-Toi Chu, Natalie L Cobb, Aaron J Cohen, Natália Cruz-Martins, Omid Dadras, Fentaw Teshome Dagnaw, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, An Thi Minh Dao, Sisay Abebe Debela, Biniyam Demisse, Fitsum Wolde Demisse, Solomon Demissie, Diriba Dereje, Hardik Dineshbhai Desai, Abebaw Alemayehu Desta, Belay Desye, Sameer Dhingra, Nancy Diao, Daniel Diaz, Lankamo Ena Digesa, Linh Phuong Doan, Milad Dodangeh, Deepa Dongarwar, Fariba Dorostkar, Wendel Mombaque dos Santos, Haneil Larson Dsouza, Eleonora Dubljanin, Oyewole Christopher Durojaiye, Hisham Atan Edinur, Elham Ehsani-Chimeh, Ebrahim Eini, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Eman D El Desouky, Iman El Sayed, Maysaa El Sayed Zaki, Muhammed Elhadi, Ahmed Mahmoud Rabie Elkhapery, Amir Emami, Luchuo Engelbert Bain, Ryenchindorj Erkhembayar, Farshid Etaee, Mohamad Ezati Asar, Adeniyi Francis Fagbamigbe, Shahab Falahi, Aida Fallahzadeh, Anwar Faraj, Emerito Jose A Faraon, Ali Fatehizadeh, Pietro Ferrara, Allegra Allegra Ferrari, Getahun Fetensa, Florian Fischer, Joanne Flavel, Masoud Foroutan, Peter Andras Gaal, Abhay Motiramji Gaidhane, Santosh Gaihre, Nasrin Galehdar, Alberto L Garcia-Basteiro, Tushar Garg, Mesfin Damtew Gebrehiwot, Mathewos Alemu Gebremichael, Yibeltal Yismaw Gela, Belete Negese Belete Gemeda, Bradford D Gessner, Melaku Getachew, Asmare Getie, Seyyed-Hadi Ghamari, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Ali Gholamrezanezhad, Abdolmajid Gholizadeh, Rakesh Ghosh, Sherief Ghozy, Pouya Goleij, Mohamad Golitaleb, Giuseppe Gorini, Alessandra C Goulart, Girma Garedew Goyomsa, Habtamu Alganeh Guadie, Zewdie Gudisa, Rashid Abdi Guled, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Alemu Guta, Parham Habibzadeh, Arvin Haj-Mirzaian, Rabih Halwani, Samer Hamidi, Md Abdul Hannan, Mehdi Harorani, Ahmed I Hasaballah, Hamidreza Hasani, Abbas M Hassan, Shokoufeh Hassani, Hossein Hassanian-Moghaddam, Hadi Hassankhani, Khezar Hayat, Behzad Heibati, Mohammad Heidari, Demisu Zenbaba Heyi, Kamal Hezam, Ramesh Holla, Sung Hwi Hong, Nobuyuki Horita, Mohammad-Salar Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Mowafa Househ, Soodabeh Hoveidamanesh, Junjie Huang, Nawfal R Hussein, Ivo Iavicoli, Segun Emmanuel Ibitoye, Kevin S Ikuta, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Nahlah Elkudssiah Ismail, Masao Iwagami, Jalil Jaafari, Elham Jamshidi, Sung-In Jang, Amirreza Javadi Mamaghani, Tahereh Javaheri, Fatemeh Javanmardi, Javad Javidnia, Sathish Kumar Jayapal, Umesh Jayarajah, Shubha Jayaram, Alelign Tasew Jema, Wonjeong Jeong, Jost B Jonas, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Vaishali K, Zubair Kabir, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Laleh R Kalankesh, Rohollah Kalhor, Ashwin Kamath, Bhushan Dattatray Kamble, Himal Kandel, Tesfaye K Kanko, Ibraheem M Karaye, André Karch, Samad Karkhah, Bekalu Getnet Kassa, Patrick DMC Katoto, Harkiran Kaur, Rimple Jeet Kaur, Leila Keikavoosi-Arani, Mohammad Keykhaei, Yousef Saleh Khader, Himanshu Khajuria, Ejaz Ahmad Khan, Gulfaraz Khan, Imteyaz A Khan, Maseer Khan, Md Nuruzzaman Khan, Moien AB Khan, Yusra H Khan, Moawiah Mohammad Khatatbeh, Mina Khosravifar, Jagdish Khubchandani, Min Seo Kim, Ruth W Kimokoti, Adnan Kisa, Sezer Kisa, Niranjan Kissoon, Luke D Knibbs, Sonali Kochhar, Farzad Kompani, Hamid Reza Koohestani, Vladimir Andreevich Korshunov, Soewarta Kosen, Parvaiz A Koul, Ai Koyanagi, Kewal Krishan, Barthelemy Kuate Defo, G Anil Kumar, Om P Kurmi, Ambily Kuttikkattu, Dharmesh Kumar Lal, Judit Lám, Iván Landires, Caterina Ledda, Sang-woong Lee, Miriam Levi, Sonia Lewycka, Gang Liu, Wei Liu, Rakesh Lodha, László Lorenzovici, Mojgan Lotfi, Joana A Loureiro, Farzan Madadizadeh, Ata Mahmoodpoor, Razzagh Mahmoudi, Marzieh Mahmoudimanesh, Jamal Majidpoor, Alaa Makki, Elaheh Malakan Rad, Ahmad Azam Malik, Tauqeer Hussain Mallhi, Yosef Manla, Clara N Matei, Alexander G Mathioudakis, Richard James Maude, Entezar Mehrabi Nasab, Addisu Melese, Ziad A Memish, Oliver Mendoza-Cano, Alexios-Fotios A Mentis, Tuomo J Meretoja, Mehari Woldemariam Merid, Tomislav Mestrovic, Ana Carolina Micheletti Gomide Nogueira de Sá, Gelana Fekadu Worku Mijena, Le Huu Nhat Minh, Shabir Ahmad Mir, Reza Mirfakhraie, Seyyedmohammadsadeq Mirmoeeni, Agha Zeeshan Mirza, Moonis Mirza, Mohammad Mirza-Aghazadeh-Attari, Abay Sisay Misganaw, Awoke Temesgen Misganaw, Esmaeil Mohammadi, Mokhtar Mohammadi, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Sara Momtazmanesh, Lorenzo Monasta, Md Moniruzzaman, Fateme Montazeri, Catrin E Moore, Abdolvahab Moradi, Lidia Morawska, Jonathan F Mosser, Ebrahim Mostafavi, Majid Motaghinejad, Haleh Mousavi Isfahani, Seyed Ali Mousavi-Aghdas, Sumaira Mubarik, Efrén Murillo-Zamora, Ghulam Mustafa, Sanjeev Nair, Tapas Sadasivan Nair, Houshang Najafi, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Zuhair S Natto, Biswa Prakash Nayak, Seyed Aria Nejadghaderi, Huy Van Nguyen Nguyen, Robina Khan Niazi, Antonio Tolentino Nogueira de Sá, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Chimedsuren Ochir, Oluwakemi Ololade Odukoya, Hassan Okati-Aliabad, Akinkunmi Paul Okekunle, Osaretin Christabel Okonji, Andrew T Olagunju, Isaac Iyinoluwa Olufadewa, Ahmed Omar Bali, Emad Omer, Eyal Oren, Erika Ota, Nikita Otstavnov, Abderrahim Oulhaj, Mahesh P A, Jagadish Rao Padubidri, Keyvan Pakshir, Reza Pakzad, Tamás Palicz, Anamika Pandey, Suman Pant, Shahina Pardhan, Eun-Cheol Park, Eun-Kee Park, Fatemeh Pashazadeh Kan, Rajan Paudel, Shrikant Pawar, Minjin Peng, Gavin Pereira, Simone Perna, Navaraj Perumalsamy, Ionela-Roxana Petcu, David M Pigott, Zahra Zahid Piracha, Vivek Podder, Roman V Polibin, Maarten J Postma, Hamid Pourasghari, Naeimeh Pourtaheri, Mirza Muhammad Fahd Qadir, Mathieu Raad, Mohammad Rabiee, Navid Rabiee, Saber Raeghi, Alireza Rafiei, Fakher Rahim, Mehran Rahimi, Vafa Rahimi-Movaghar, Azizur Rahman, Md Obaidur Rahman, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Pradhum Ram, Kiana Ramezanzadeh, Juwel Rana, Priyanga Ranasinghe, Usha Rani, Sowmya J Rao, Sina Rashedi, Mohammad-Mahdi Rashidi, Azad Rasul, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Elrashdy Moustafa Mohamed Redwan, Marissa B Reitsma, Andre M N Renzaho, Mohsen Rezaeian, Abanoub Riad, Reza Rikhtegar, Jefferson Antonio Buendia Rodriguez, Emma L B Rogowski, Luca Ronfani, Kristina E Rudd, Basema Saddik, Erfan Sadeghi, Umar Saeed, Azam Safary, Sher Zaman Safi, Maryam Sahebazzamani, Amirhossein Sahebkar, Sateesh Sakhamuri, Sana Salehi, Muhammad Salman, Hossein Samadi Kafil, Abdallah M Samy, Milena M Santric-Milicevic, Bruno Piassi Sao Jose, Maryam Sarkhosh, Brijesh Sathian, Monika Sawhney, Ganesh Kumar Saya, Abdul-Aziz Seidu, Allen Seylani, Amira A Shaheen, Masood Ali Shaikh, Elaheh Shaker, Hina Shamshad, Mequannent Melaku Sharew, Asaad Sharhani, Azam Sharifi, Purva Sharma, Ali Sheidaei, Suchitra M Shenoy, Jeevan K Shetty, Damtew Solomon Shiferaw, Mika Shigematsu, Jae Il Shin, Hesamaddin Shirzad-Aski, K M Shivakumar, Siddharudha Shivalli, Parnian Shobeiri, Wudneh Simegn, Colin R Simpson, Harpreet Singh, Jasvinder A Singh, Paramdeep Singh, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Yimeng Song, Prashant Sood, Chandrashekhar T Sreeramareddy, Paschalis Steiropoulos, Muhammad Suleman, Seyed-Amir Tabatabaeizadeh, Alireza Tahamtan, Majid Taheri, Moslem Taheri Soodejani, Elahe Taki, Iman M Talaat, Mircea Tampa, Sarmila Tandukar, Nathan Y Tat, Vivian Y Tat, Yibekal Manaye Tefera, Gebremaryam Temesgen, Mohamad-Hani Temsah, Azene Tesfaye, Degefa Gomora Tesfaye, Belay Tessema, Rekha Thapar, Jansje Henny Vera Ticoalu, Amir Tiyuri, Imad I Tleyjeh, Munkhsaikhan Togtmol, Marcos Roberto Tovani-Palone, Derara Girma Tufa, Irfan Ullah, Era Upadhyay, Sahel Valadan Tahbaz, Pascual R Valdez, Rohollah Valizadeh, Constantine Vardavas, Tommi Juhani Vasankari, Bay Vo, Linh Gia Vu, Birhanu Wagaye, Yasir Waheed, Yu Wang, Abdul Waris, T Eoin West, Nuwan Darshana Wickramasinghe, Xiaoyue Xu, Sajad Yaghoubi, Gahin Abdulraheem Tayib Yahya, Seyed Hossein Yahyazadeh Jabbari, Dong Keon Yon, Naohiro Yonemoto, Burhan Abdullah Zaman, Alireza Zandifar, Moein Zangiabadian, Heather J Zar, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Wu Zeng, Mengxi Zhang, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Stephen S Lim, Theo Vos, Mohsen Naghavi, Michael Brauer, Simon I Hay, Christopher J L Murray, Kyu, H. H., Vongpradith, A., Sirota, S. B., Novotney, A., Troeger, C. E., Doxey, M. C., Bender, R. G., Ledesma, J. R., Biehl, M. H., Albertson, S. B., Frostad, J. J., Burkart, K., Bennitt, F. B., Zhao, J. T., Gardner, W. M., Hagins, H., Bryazka, D., Dominguez, R. -M. V., Abate, S. M., Abdelmasseh, M., Abdoli, A., Abdoli, G., Abedi, A., Abedi, V., Abegaz, T. M., Abidi, H., Aboagye, R. G., Abolhassani, H., Abtew, Y. D., Abubaker Ali, H., Abu-Gharbieh, E., Abu-Zaid, A., Adamu, K., Addo, I. Y., Adegboye, O. A., Adnan, M., Adnani, Q. E. S., Afzal, M. S., Afzal, S., Ahinkorah, B. O., Ahmad, A., Ahmad, A. R., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, H., Ahmed, J. Q., Ahmed Rashid, T., Akbarzadeh-Khiavi, M., Al Hamad, H., Albano, L., Aldeyab, M. A., Alemu, B. M., Alene, K. A., Algammal, A. M., Alhalaiqa, F. A. N., Alhassan, R. K., Ali, B. A., Ali, L., Ali, M. M., Ali, S. S., Alimohamadi, Y., Alipour, V., Al-Jumaily, A., Aljunid, S. M., Almustanyir, S., Al-Raddadi, R. M., Al-Rifai, R. H. H., Alryalat, S. A. S., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Ameyaw, E. K., Aminian Dehkordi, J. J., Amuasi, J. H., Amugsi, D. A., Anbesu, E. W., Ansar, A., Anyasodor, A. E., Arabloo, J., Areda, D., Argaw, A. M., Argaw, Z. G., Arulappan, J., Aruleba, R. T., Asemahagn, M. A., Athari, S. S., Atlaw, D., Attia, E. F., Attia, S., Aujayeb, A., Awoke, T., Ayana, T. M., Ayanore, M. A., Azadnajafabad, S., Azangou-Khyavy, M., Azari, S., Azari Jafari, A., Badar, M., Badiye, A. D., Baghcheghi, N., Bagherieh, S., Baig, A. A., Banach, M., Banerjee, I., Bardhan, M., Barone-Adesi, F., Barqawi, H. J., Barrow, A., Bashiri, A., Bassat, Q., Batiha, A. -M. M., Belachew, A. B., Belete, M. A., Belgaumi, U. I., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhatt, P., Bhojaraja, V. S., Bhutta, Z. A., Bhuyan, S. S., Bijani, A., Bitaraf, S., Bodicha, B. B. A., Briko, N. I., Buonsenso, D., Butt, M. H., Cai, J., Camargos, P., Camera, L. A., Chakraborty, P. A., Chanie, M. G., Charan, J., Chattu, V. K., Ching, P. R., Choi, S., Chong, Y. Y., Choudhari, S. G., Chowdhury, E. K., Christopher, D. J., Chu, D. -T., Cobb, N. L., Cohen, A. J., Cruz-Martins, N., Dadras, O., Dagnaw, F. T., Dai, X., Dandona, L., Dandona, R., Dao, A. T. M., Debela, S. A., Demisse, B., Demisse, F. W., Demissie, S., Dereje, D., Desai, H. D., Desta, A. A., Desye, B., Dhingra, S., Diao, N., Diaz, D., Digesa, L. E., Doan, L. P., Dodangeh, M., Dongarwar, D., Dorostkar, F., dos Santos, W. M., Dsouza, H. L., Dubljanin, E., Durojaiye, O. C., Edinur, H. A., Ehsani-Chimeh, E., Eini, E., Ekholuenetale, M., Ekundayo, T. C., El Desouky, E. D., El Sayed, I., El Sayed Zaki, M., Elhadi, M., Elkhapery, A. M. R., Emami, A., Engelbert Bain, L., Erkhembayar, R., Etaee, F., Ezati Asar, M., Fagbamigbe, A. F., Falahi, S., Fallahzadeh, A., Faraj, A., Faraon, E. J. A., Fatehizadeh, A., Ferrara, P., Ferrari, A. A., Fetensa, G., Fischer, F., Flavel, J., Foroutan, M., Gaal, P. A., Gaidhane, A. M., Gaihre, S., Galehdar, N., Garcia-Basteiro, A. L., Garg, T., Gebrehiwot, M. D., Gebremichael, M. A., Gela, Y. Y., Gemeda, B. N. B., Gessner, B. D., Getachew, M., Getie, A., Ghamari, S. -H., Ghasemi Nour, M., Ghashghaee, A., Gholamrezanezhad, A., Gholizadeh, A., Ghosh, R., Ghozy, S., Goleij, P., Golitaleb, M., Gorini, G., Goulart, A. C., Goyomsa, G. G., Guadie, H. A., Gudisa, Z., Guled, R. A., Gupta, S., Gupta, V. B., Gupta, V. K., Guta, A., Habibzadeh, P., Haj-Mirzaian, A., Halwani, R., Hamidi, S., Hannan, M. A., Harorani, M., Hasaballah, A. I., Hasani, H., Hassan, A. M., Hassani, S., Hassanian-Moghaddam, H., Hassankhani, H., Hayat, K., Heibati, B., Heidari, M., Heyi, D. Z., Hezam, K., Holla, R., Hong, S. H., Horita, N., Hosseini, M. -S., Hosseinzadeh, M., Hostiuc, M., Househ, M., Hoveidamanesh, S., Huang, J., Hussein, N. R., Iavicoli, I., Ibitoye, S. E., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Immurana, M., Ismail, N. E., Iwagami, M., Jaafari, J., Jamshidi, E., Jang, S. -I., Javadi Mamaghani, A., Javaheri, T., Javanmardi, F., Javidnia, J., Jayapal, S. K., Jayarajah, U., Jayaram, S., Jema, A. T., Jeong, W., Jonas, J. B., Joseph, N., Joukar, F., Jozwiak, J. J., K, V., Kabir, Z., Kacimi, S. E. O., Kadashetti, V., Kalankesh, L. R., Kalhor, R., Kamath, A., Kamble, B. D., Kandel, H., Kanko, T. K., Karaye, I. M., Karch, A., Karkhah, S., Kassa, B. G., Katoto, P. D., Kaur, H., Kaur, R. J., Keikavoosi-Arani, L., Keykhaei, M., Khader, Y. S., Khajuria, H., Khan, E. A., Khan, G., Khan, I. A., Khan, M., Khan, M. N., Khan, M. A., Khan, Y. H., Khatatbeh, M. M., Khosravifar, M., Khubchandani, J., Kim, M. S., Kimokoti, R. W., Kisa, A., Kisa, S., Kissoon, N., Knibbs, L. D., Kochhar, S., Kompani, F., Koohestani, H. R., Korshunov, V. A., Kosen, S., Koul, P. A., Koyanagi, A., Krishan, K., Kuate Defo, B., Kumar, G. A., Kurmi, O. P., Kuttikkattu, A., Lal, D. K., Lam, J., Landires, I., Ledda, C., Lee, S. -W., Levi, M., Lewycka, S., Liu, G., Liu, W., Lodha, R., Lorenzovici, L., Lotfi, M., Loureiro, J. A., Madadizadeh, F., Mahmoodpoor, A., Mahmoudi, R., Mahmoudimanesh, M., Majidpoor, J., Makki, A., Malakan Rad, E., Malik, A. A., Mallhi, T. H., Manla, Y., Matei, C. N., Mathioudakis, A. G., Maude, R. J., Mehrabi Nasab, E., Melese, A., Memish, Z. A., Mendoza-Cano, O., Mentis, A. -F. A., Meretoja, T. J., Merid, M. W., Mestrovic, T., Micheletti Gomide Nogueira de Sa, A. C., Mijena, G. F. W., Minh, L. H. N., Mir, S. A., Mirfakhraie, R., Mirmoeeni, S., Mirza, A. Z., Mirza, M., Mirza-Aghazadeh-Attari, M., Misganaw, A. S., Misganaw, A. T., Mohammadi, E., Mohammadi, M., Mohammed, A., Mohammed, S., Mohan, S., Mohseni, M., Moka, N., Mokdad, A. H., Momtazmanesh, S., Monasta, L., Moniruzzaman, M., Montazeri, F., Moore, C. E., Moradi, A., Morawska, L., Mosser, J. F., Mostafavi, E., Motaghinejad, M., Mousavi Isfahani, H., Mousavi-Aghdas, S. A., Mubarik, S., Murillo-Zamora, E., Mustafa, G., Nair, S., Nair, T. S., Najafi, H., Naqvi, A. A., Narasimha Swamy, S., Natto, Z. S., Nayak, B. P., Nejadghaderi, S. A., Nguyen, H. V. N., Niazi, R. K., Nogueira de Sa, A. T., Nouraei, H., Nowroozi, A., Nunez-Samudio, V., Nzoputam, C. I., Nzoputam, O. J., Oancea, B., Ochir, C., Odukoya, O. O., Okati-Aliabad, H., Okekunle, A. P., Okonji, O. C., Olagunju, A. T., Olufadewa, I. I., Omar Bali, A., Omer, E., Oren, E., Ota, E., Otstavnov, N., Oulhaj, A., P A, M., Padubidri, J. R., Pakshir, K., Pakzad, R., Palicz, T., Pandey, A., Pant, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Paudel, R., Pawar, S., Peng, M., Pereira, G., Perna, S., Perumalsamy, N., Petcu, I. -R., Pigott, D. M., Piracha, Z. Z., Podder, V., Polibin, R. V., Postma, M. J., Pourasghari, H., Pourtaheri, N., Qadir, M. M. F., Raad, M., Rabiee, M., Rabiee, N., Raeghi, S., Rafiei, A., Rahim, F., Rahimi, M., Rahimi-Movaghar, V., Rahman, A., Rahman, M. 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Adult ,Male ,Global Health ,Time ,Global Burden of Disease ,SDG 3 - Good Health and Well-being ,Risk Factors ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Humans ,Ambient air-quality ,Child ,Respiratory Tract Infections ,Aged ,Aged, 80 and over ,MCC ,Sex Characteristics ,Malnutrition ,Pyridinolcarbamate ,Bayes Theorem ,3rd-DAS ,3142 Public health care science, environmental and occupational health ,Infectious Diseases ,3121 General medicine, internal medicine and other clinical medicine ,Child, Preschool ,Female ,Particulate Matter ,Quality-Adjusted Life Years ,Covid-19 ,LRI - Abstract
Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Publisher PDF
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- 2022
3. Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026
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Angela E Micah, Kayleigh Bhangdia, Ian E Cogswell, Dylan Lasher, Brendan Lidral-Porter, Emilie R Maddison, Trang Nhu Ngoc Nguyen, Nishali Patel, Paola Pedroza, Juan Solorio, Hayley Stutzman, Golsum Tsakalos, Yifeng Wang, Wesley Warriner, Yingxi Zhao, Bianca S Zlavog, Cristiana Abbafati, Jaffar Abbas, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Michael Abdelmasseh, Deldar Morad Abdulah, Aidin Abedi, Kedir Hussein Abegaz, E S Abhilash, Richard Gyan Aboagye, Hassan Abolhassani, Michael R M Abrigo, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Mohammed Hussien Adem, Muhammad Sohail Afzal, Ali Ahmadi, Haroon Ahmed, Tarik Ahmed Rashid, Budi Aji, Hossein Akbarialiabad, Yibeltal Akelew, Hanadi Al Hamad, Khurshid Alam, Fahad Mashhour Alanezi, Turki M Alanzi, Mohammed Khaled Al-Hanawi, Robert Kaba Alhassan, Syed Mohamed Aljunid, Sami Almustanyir, Rajaa M Al-Raddadi, Nelson Alvis-Guzman, Nelson J Alvis-Zakzuk, Azmeraw T Amare, Edward Kwabena Ameyaw, Mostafa Amini-Rarani, Hubert Amu, Robert 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S, Yigit, A, Yigit, V, Yonemoto, N, Younis, M, Yu, C, Yunusa, I, Zaki, L, Zaman, B, Zangeneh, A, Zare Dehnavi, A, Zastrozhin, M, Zeng, W, Zhang, Z, Zuhlke, L, Zuniga, Y, Hay, S, Murray, C, and Dieleman, J
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coordination ,communication ,outbreak response ,COVID-19, GBD ,response plan ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,contact management ,pandemic Covid 19 ,financing ,epidemic alert ,epidemiological investigation ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,international health regulation ,surveillance ,Global burden disease ,global spending ,preparedne - Abstract
Background The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic; characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic; and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings In 2019, at the onset of the COVID-19 pandemic, US$9 center dot 2 trillion (95% uncertainty interval [UI] 9 center dot 1-9 center dot 3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7 center dot 3 trillion (95% UI 7 center dot 2-7 center dot 4) in 2019; 293 center dot 7 times the $24 center dot 8 billion (95% UI 24 center dot 3-25 center dot 3) spent by low-income countries in 2019. That same year, $43 center dot 1 billion in development assistance was provided to maintain or improve health. The pandemic led to an unprecedented increase in development assistance targeted towards health; in 2020 and 2021, $1 center dot 8 billion in DAH contributions was provided towards pandemic preparedness in LMICs, and $37 center dot 8 billion was provided for the health-related COVID-19 response. Although the support for pandemic preparedness is 12 center dot 2% of the recommended target by the High-Level Independent Panel (HLIP), the support provided for the health -related COVID-19 response is 252 center dot 2% of the recommended target. Additionally, projected spending estimates suggest that between 2022 and 2026, governments in 17 (95% UI 11-21) of the 137 LMICs will observe an increase in national government health spending equivalent to an addition of 1% of GDP, as recommended by the HLIP. Interpretation There was an unprecedented scale-up in DAH in 2020 and 2021. We have a unique opportunity at this time to sustain funding for crucial global health functions, including pandemic preparedness. However, historical patterns of underfunding of pandemic preparedness suggest that deliberate effort must be made to ensure funding is maintained. For complete list of authors see http://dx.doi.org/10.1016/S2214-109X(23)00007-4
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- 2023
4. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020
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Dana Bryazka, Marissa B Reitsma, Max G Griswold, Kalkidan Hassen Abate, Cristiana Abbafati, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Amir Abdoli, Mohammad Abdollahi, Abu Yousuf Md Abdullah, E S Abhilash, Eman Abu-Gharbieh, Juan Manuel Acuna, Giovanni Addolorato, Oladimeji M Adebayo, Victor Adekanmbi, Kishor Adhikari, Sangeet Adhikari, Qorinah Estiningtyas Sakilah Adnani, Saira Afzal, Wubetu Yimam Agegnehu, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Sajjad Ahmad, Tauseef Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Tarik Ahmed Rashid, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Md Zakiul Alam, Dejene Tsegaye Alem, Kefyalew Addis Alene, Yousef Alimohamadi, Atiyeh Alizadeh, Kasim Allel, Jordi Alonso, Saba Alvand, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Sohrab Amiri, Robert Ancuceanu, Jason A Anderson, Catalina Liliana Andrei, Tudorel Andrei, Jalal Arabloo, Muhammad Arshad, Anton A Artamonov, Zahra Aryan, Malke Asaad, Mulusew A Asemahagn, Thomas Astell-Burt, Seyyed Shamsadin Athari, Desta Debalkie Atnafu, Prince Atorkey, Alok Atreya, Floriane Ausloos, Marcel Ausloos, Getinet Ayano, Martin Amogre ayanore Ayanore, Olatunde O Ayinde, Jose L Ayuso-Mateos, Sina Azadnajafabad, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ahmed Y Azzam, Ashish D Badiye, Nasser Bagheri, Sara Bagherieh, Mohan Bairwa, Shankar M Bakkannavar, Ravleen Kaur Bakshi, Awraris Hailu Balchut/Bilchut, Till Winfried Bärnighausen, Fabio Barra, Amadou Barrow, Pritish Baskaran, Luis Belo, Derrick A Bennett, Isabela M Benseñor, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Ashish Bhalla, Nikha Bhardwaj, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Bagas Suryo Bintoro, Elena A Elena Blokhina, Belay Boda Abule Bodicha, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Hermann Brenner, Nikolay Ivanovich Briko, Andre R Brunoni, Zahid A Butt, Chao Cao, Yin Cao, Rosario Cárdenas, Andre F Carvalho, Márcia Carvalho, Joao Mauricio Castaldelli-Maia, Giulio Castelpietra, Luis F S Castro-de-Araujo, Maria Sofia Cattaruzza, Promit Ananyo Chakraborty, Jaykaran Charan, Vijay Kumar Chattu, Akhilanand Chaurasia, Nicolas Cherbuin, Dinh-Toi Chu, Nandita Chudal, Sheng-Chia Chung, Chuchu Churko, Liliana G Ciobanu, Massimo Cirillo, Rafael M Claro, Simona Costanzo, Richard G Cowden, Michael H Criqui, Natália Cruz-Martins, Garland T Culbreth, Berihun Assefa Dachew, Omid Dadras, Xiaochen Dai, Giovanni Damiani, Lalit Dandona, Rakhi Dandona, Beniam Darge Daniel, Anna Danielewicz, Jiregna Darega Gela, Kairat Davletov, Jacyra Azevedo Paiva de Araujo, Antonio Reis de Sá-Junior, Sisay Abebe Debela, Azizallah Dehghan, Andreas K Demetriades, Meseret Derbew Molla, Rupak Desai, Abebaw Alemayehu Desta, Diana Dias da Silva, Daniel Diaz, Lankamo Ena Digesa, Mengistie Diress, Milad Dodangeh, Deepa Dongarwar, Fariba Dorostkar, Haneil Larson Dsouza, Bereket Duko, Bruce B Duncan, Kristina Edvardsson, 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Marina Pinheiro, Evgenii Plotnikov, Pranil Man Singh Pradhan, Akila Prashant, Jianchao Quan, Amir Radfar, Alireza Rafiei, Pankaja Raghav Raghav, Vafa Rahimi-Movaghar, Azizur Rahman, Md Mosfequr Rahman, Mosiur Rahman, Amir Masoud Rahmani, Shayan Rahmani, Chhabi Lal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Drona Prakash Rasali, Mohammad-Mahdi Rashidi, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Lal Rawal, Andre M N Renzaho, Negar Rezaei, Saeid Rezaei, Mohsen Rezaeian, Seyed Mohammad Riahi, Esperanza Romero-Rodríguez, Gregory A Roth, Godfrey M Rwegerera, Basema Saddik, Erfan Sadeghi, Reihaneh Sadeghian, Umar Saeed, Farhad Saeedi, Rajesh Sagar, Amirhossein Sahebkar, Harihar Sahoo, Mohammad Ali Sahraian, KM Saif-Ur-Rahman, Sarvenaz Salahi, Hamideh Salimzadeh, Abdallah M Samy, Francesco Sanmarchi, Milena M Santric-Milicevic, Yaser Sarikhani, Brijesh Sathian, Ganesh Kumar Saya, Mehdi Sayyah, Maria Inês Schmidt, Aletta Elisabeth Schutte, Michaël Schwarzinger, David C Schwebel, 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Temsah, Kavumpurathu Raman Thankappan, Rekha Thapar, Nikhil Kenny Thomas, Chalachew Tiruneh, Jovana Todorovic, Marco Torrado, Mathilde Touvier, Marcos Roberto Tovani-Palone, Mai Thi Ngoc Tran, Sergi Trias-Llimós, Jaya Prasad Tripathy, Alireza Vakilian, Rohollah Valizadeh, Mehdi Varmaghani, Shoban Babu Varthya, Tommi Juhani Vasankari, Theo Vos, Birhanu Wagaye, Yasir Waheed, Mandaras Tariku Walde, Cong Wang, Yanzhong Wang, Yuan-Pang Wang, Ronny Westerman, Nuwan Darshana Wickramasinghe, Abate Dargie Wubetu, Suowen Xu, Kazumasa Yamagishi, Lin Yang, Gesila Endashaw E Yesera, Arzu Yigit, Vahit Yiğit, Ayenew Engida Ayenew Engida Yimaw, Dong Keon Yon, Naohiro Yonemoto, Chuanhua Yu, Siddhesh Zadey, Mazyar Zahir, Iman Zare, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zmaili, Yves Miel H Zuniga, Emmanuela Gakidou, University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Department of Public Health, University of Helsinki, Hjelt Institute (-2014), Helsinki Inequality Initiative (INEQ), Clinicum, Helsinki University Hospital Area, Bill & Melinda Gates Foundation, King Edward Medical University (Pakistán), Alexander von Humboldt Foundation, University of Oxford (Reino Unido), Medical Research Council (Reino Unido), NIH - National Institute of Mental Health (NIMH) (Estados Unidos), Canada Research Chairs, National Health and Medical Research Council (Australia), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), Wellcome Trust, NIH - National Institute on Aging (NIA) (Estados Unidos), Finlands Akademi (Finlandia), Panjab University (India), Federal Ministry of Education & Research (Alemania), National Council for Scientific and Technological Development (Brasil), Danish National Research Foundation, Queensland Centre for Mental Health Research (Australia), South African Medical Research Council, National Natural Science Foundation of China, Charles Sturt University (Australia), Ain Shams University (Egipto), Mizoram University (India), Kasturba Medical College (India), Manipal Academy of Higher Education (India), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Ministerio de Ciencia e Innovación (España), Collaborators, GBD 2020 Alcohol, Bryazka, Dana, Reitsma, Marissa B, Griswold, Max G, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdoli, Amir, Abdollahi, Mohammad, Abdullah, Abu Yousuf Md, Abhilash, E S, Abu-Gharbieh, Eman, Acuna, Juan Manuel, Addolorato, Giovanni, Adebayo, Oladimeji M, Adekanmbi, Victor, Adhikari, Kishor, Adhikari, Sangeet, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Agegnehu, Wubetu Yimam, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed Rashid, Tarik, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alam, Md Zakiul, Alem, Dejene Tsegaye, Alene, Kefyalew Addi, Alimohamadi, Yousef, Alizadeh, Atiyeh, Allel, Kasim, Alonso, Jordi, Alvand, Saba, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Ancuceanu, Robert, Anderson, Jason A, Andrei, Catalina Liliana, Andrei, Tudorel, Arabloo, Jalal, Arshad, Muhammad, Artamonov, Anton A, Aryan, Zahra, Asaad, Malke, Asemahagn, Mulusew A, Astell-Burt, Thoma, Athari, Seyyed Shamsadin, Atnafu, Desta Debalkie, Atorkey, Prince, Atreya, Alok, Ausloos, Floriane, Ausloos, Marcel, Ayano, Getinet, Ayanore, Martin Amogre ayanore, Ayinde, Olatunde O, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azzam, Ahmed Y, Badiye, Ashish D, Bagheri, Nasser, Bagherieh, Sara, Bairwa, Mohan, Bakkannavar, Shankar M, Bakshi, Ravleen Kaur, Balchut/bilchut, Awraris Hailu, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Baskaran, Pritish, Belo, Lui, Bennett, Derrick A, Benseñor, Isabela M, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bintoro, Bagas Suryo, Blokhina, Elena A Elena, Bodicha, Belay Boda Abule, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brenner, Hermann, Briko, Nikolay Ivanovich, Brunoni, Andre R, Butt, Zahid A, Cao, Chao, Cao, Yin, Cárdenas, Rosario, Carvalho, Andre F, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Castro-de-Araujo, Luis F S, Cattaruzza, Maria Sofia, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chattu, Vijay Kumar, Chaurasia, Akhilanand, Cherbuin, Nicola, Chu, Dinh-Toi, Chudal, Nandita, Chung, Sheng-Chia, Churko, Chuchu, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Costanzo, Simona, Cowden, Richard G, Criqui, Michael H, Cruz-Martins, Natália, Culbreth, Garland T, Dachew, Berihun Assefa, Dadras, Omid, Dai, Xiaochen, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Daniel, Beniam Darge, Danielewicz, Anna, Darega Gela, Jiregna, Davletov, Kairat, de Araujo, Jacyra Azevedo Paiva, de Sá-Junior, Antonio Rei, Debela, Sisay Abebe, Dehghan, Azizallah, Demetriades, Andreas K, Derbew Molla, Meseret, Desai, Rupak, Desta, Abebaw Alemayehu, Dias da Silva, Diana, Diaz, Daniel, Digesa, Lankamo Ena, Diress, Mengistie, Dodangeh, Milad, Dongarwar, Deepa, Dorostkar, Fariba, Dsouza, Haneil Larson, Duko, Bereket, Duncan, Bruce B, Edvardsson, Kristina, Ekholuenetale, Michael, Elgar, Frank J, Elhadi, Muhammed, Elmonem, Mohamed A, Endries, Aman Yesuf, Eskandarieh, Sharareh, Etemadimanesh, Azin, Fagbamigbe, Adeniyi Franci, Fakhradiyev, Ildar Ravisovich, Farahmand, Fatemeh, Farinha, Carla Sofia e Sá, Faro, Andre, Farzadfar, Farshad, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Feigin, Valery L, Feldman, Rachel, Feng, Xiaoqi, Fentaw, Zinabu, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Francis, Joel Msafiri, Franklin, Richard Charle, Gaal, Peter Andra, Gad, Mohamed M, Gallus, Silvano, Galvano, Fabio, Ganesan, Balasankar, Garg, Tushar, Gebrehiwot, Mesfin Gebrehiwot Damtew, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Gemechu, Tadele Regasa, Getacher, Lemma, Getachew, Motuma Erena, Getachew Obsa, Abera, Getie, Asmare, Ghaderi, Amir, Ghafourifard, Mansour, Ghajar, Alireza, Ghamari, Seyyed-Hadi, Ghandour, Lilian A, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Ghozy, Sherief, Glozah, Franklin N, Glushkova, Ekaterina Vladimirovna, Godos, Justyna, Goel, Amit, Goharinezhad, Salime, Golechha, Mahaveer, Goleij, Pouya, Golitaleb, Mohamad, Greaves, Felix, Grivna, Michal, Grosso, Giuseppe, Gudayu, Temesgen Worku, Gupta, Bhawna, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hall, Brian J, Halwani, Rabih, Handiso, Tiilahun Beyene, Hankey, Graeme J, Hariri, Sanam, Haro, Josep Maria, Hasaballah, Ahmed I, Hassanian-Moghaddam, Hossein, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Hendrie, Delia, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Hossain, Md Mahbub, Hossain, Sahadat, Hosseini, Seyed Kianoosh, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Guoqing, Huang, Junjie, Hussain, Salman, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, M Mofizul, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Iso, Hiroyasu, Itumalla, Ramaiah, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Loui, Jakovljevic, Mihajlo, Jamalpoor, Zahra, Jamshidi, Elham, Jayapal, Sathish Kumar, Jayarajah, Umesh Umesh, Jayawardena, Ranil, Jebai, Rime, Jeddi, Seyed Ali, Jema, Alelign Tasew, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Joo, Tama, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kabthymer, Robel Hussen, Kamble, Bhushan Dattatray, Kandel, Himal, Kanno, Girum Gebremeskel, Kapoor, Neeti, Karaye, Ibraheem M, Karimi, Salah Eddin, Kassa, Bekalu Getnet, Kaur, Rimple Jeet, Kayode, Gbenga A, Keykhaei, Mohammad, Khajuria, Himanshu, Khalilov, Rovshan, Khan, Imteyaz A, Khan, Moien AB, Kim, Hanna, Kim, Jihee, Kim, Min Seo, Kimokoti, Ruth W, Kivimäki, Mika, Klymchuk, Vitalii, Knudsen, Ann Kristin Skrindo, Kolahi, Ali-Asghar, Korshunov, Vladimir Andreevich, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kumar, G Anil, Kumar, Narinder, Kumar, Nithin, Lacey, Ben, Lallukka, Tea, Lasrado, Savita, Lau, Jerrald, Lee, Sang-woong, Lee, Wei-Chen, Lee, Yo Han, Lim, Lee-Ling, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Lorkowski, Stefan, Lozano, Rafael, Lucchetti, Giancarlo, Madadizadeh, Farzan, Madureira-Carvalho, Áurea M, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahumud, Rashidul Alam, Makki, Alaa, Malekpour, Mohammad-Reza, Manjunatha, Narayana, Mansouri, Borhan, Mansournia, Mohammad Ali, Martinez-Raga, Jose, Martinez-Villa, Francisco A, Matzopoulos, Richard, Maulik, Pallab K, Mayeli, Mahsa, Mcgrath, John J, Meena, Jitendra Kumar, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mensink, Gert B M, Mentis, Alexios-Fotios A, Meretoja, Atte, Merga, Bedasa Taye, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Micheletti Gomide Nogueira de Sá, Ana Carolina, Miller, Ted R, Mini, Gk, Mirica, Andreea, Mirijello, Antonio, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Moazen, Babak, Mobarakabadi, Maryam, Moccia, Marcello, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammadian-Hafshejani, Abdollah, Mohammed, Teroj Abdulrahman, Moka, Nagabhishek, Mokdad, Ali H, Momtazmanesh, Sara, Moradi, Yousef, Mostafavi, Ebrahim, Mubarik, Sumaira, Mullany, Erin C, Mulugeta, Beemnet Tekabe, Murillo-Zamora, Efrén, Murray, Christopher J L, Mwita, Julius C, Naghavi, Mohsen, Naimzada, Mukhammad David, Nangia, Vinay, Nayak, Biswa Prakash, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nepal, Samata, Neupane, Sudan Prasad Prasad, Neupane Kandel, Sandhya, Nigatu, Yeshambel T, Nowroozi, Ali, Nuruzzaman, Khan M, Nzoputam, Chimezie Igwegbe, Obamiro, Kehinde O, Ogbo, Felix Akpojene, Oguntade, Ayodipupo Sikiru, Okati-Aliabad, Hassan, Olakunde, Babayemi Oluwaseun, Oliveira, Gláucia Maria Morae, Omar Bali, Ahmed, Omer, Emad, Ortega-Altamirano, Doris V, Otoiu, Adrian, Otstavnov, Stanislav S, Oumer, Bilcha, P A, Mahesh, Padron-Monedero, Alicia, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandey, Anamika, Pandey, Ashok, Pardhan, Shahina, Parekh, Tarang, Park, Eun-Kee, Parry, Charles D H, Pashazadeh Kan, Fatemeh, Patel, Jay, Pati, Siddhartha, Patton, George C, Paudel, Uttam, Pawar, Shrikant, Peden, Amy E, Petcu, Ionela-Roxana, Phillips, Michael R, Pinheiro, Marina, Plotnikov, Evgenii, Pradhan, Pranil Man Singh, Prashant, Akila, Quan, Jianchao, Radfar, Amir, Rafiei, Alireza, Raghav, Pankaja Raghav, Rahimi-Movaghar, Vafa, Rahman, Azizur, Rahman, Md Mosfequr, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmani, Shayan, Ranabhat, Chhabi Lal, Ranasinghe, Priyanga, Rao, Chythra R, Rasali, Drona Prakash, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Saeid, Rezaeian, Mohsen, Riahi, Seyed Mohammad, Romero-Rodríguez, Esperanza, Roth, Gregory A, Rwegerera, Godfrey M, Saddik, Basema, Sadeghi, Erfan, Sadeghian, Reihaneh, Saeed, Umar, Saeedi, Farhad, Sagar, Rajesh, Sahebkar, Amirhossein, Sahoo, Harihar, Sahraian, Mohammad Ali, Saif-Ur-Rahman, Km, Salahi, Sarvenaz, Salimzadeh, Hamideh, Samy, Abdallah M, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarikhani, Yaser, Sathian, Brijesh, Saya, Ganesh Kumar, Sayyah, Mehdi, Schmidt, Maria Inê, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Seidu, Abdul-Aziz, Senthil Kumar, Nachimuthu, Seyedalinaghi, Seyedahmad, Seylani, Allen, Sha, Feng, Shahin, Sarvenaz, Shahraki-Sanavi, Fariba, Shahrokhi, Shayan, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shams-Beyranvand, Mehran, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Shetty, Adithi, Shetty, Jeevan K, Shiferaw, Damtew Solomon, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shivakumar, K M, Shivarov, Velizar, Shobeiri, Parnian, Shrestha, Roman, Sidemo, Negussie Boti, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silva, Natacha Torres da, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Solmi, Marco, Solomon, Yonatan, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Soyiri, Ireneous N, Stein, Dan J, Subba, Sonu Hangma, Szócska, Mikló, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Taheri, Majid, Tan, Ker-Kan, Tareke, Minale, Tarkang, Elvis Enowbeyang, Temesgen, Gebremaryam, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thomas, Nikhil Kenny, Tiruneh, Chalachew, Todorovic, Jovana, Torrado, Marco, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Trias-Llimós, Sergi, Tripathy, Jaya Prasad, Vakilian, Alireza, Valizadeh, Rohollah, Varmaghani, Mehdi, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vos, Theo, Wagaye, Birhanu, Waheed, Yasir, Walde, Mandaras Tariku, Wang, Cong, Wang, Yanzhong, Wang, Yuan-Pang, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wubetu, Abate Dargie, Xu, Suowen, Yamagishi, Kazumasa, Yang, Lin, Yesera, Gesila Endashaw E, Yigit, Arzu, Yiğit, Vahit, Yimaw, Ayenew Engida Ayenew Engida, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Zadey, Siddhesh, Zahir, Mazyar, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhong, Chenwen, Zmaili, Mohammad, Zuniga, Yves Miel H, Gakidou, Emmanuela, Bryazka, D, Reitsma, Mb, Griswold, Mg, Abate, Kh, Abbafati, C, Kangevari, Ma, Kangevari, Za, Abdoli, A, Abdollahi, M, Abdullah, Am, Abhilash, E, Abu Gharbieh, E, Acuna, Jm, Addolorato, G, Adebayo, Om, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, Qe, Afzal, S, Agegnehu, Wy, Aggarwal, M, Ahinkorah, Bo, Ahmad, Ar, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, Ta, Akunna, Cj, Al Hamad, H, Alam, Mz, Alem, Dt, Alene, Ka, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, Na, Amare, F, Ameyaw, Ek, Amiri, S, Ancuceanu, R, Anderson, Ja, Andrei, Cl, Andrei, T, Arabloo, J, Arshad, M, Artamonov, Aa, Aryan, Z, Asaad, M, Asemahagn, Ma, Burt, Ta, Athari, S, Atnafu, Dd, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, Ma, Ayinde, Oo, Mateos, Jla, Azadnajafabad, S, Azanaw, Mm, Khyavy, Ma, Jafari, Aa, Azzam, Ay, Badiye, Ad, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, Sm, Bakshi, Rk, Balchut, Ah, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, Da, Bensenor, Im, Bhagavathula, A, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, V, Bintoro, B, Blokhina, Eae, Bodicha, Bba, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, Ni, Brunoni, Ar, Butt, Za, Cao, C, Cao, Y, Cardenas, R, Carvalho, Af, Carvalho, M, Maia, Jmc, Castelpietra, G, de Araujo, Lfsc, Cattaruzza, M, Chakraborty, Pa, Charan, J, Chattu, Vk, Chaurasia, A, Cherbuin, N, Chu, Dt, Chudal, N, Chung, Sc, Churko, C, Ciobanu, Lg, Cirillo, M, Claro, Rm, Costanzo, S, Cowden, Rg, Criqui, Mh, Martins, Nc, Culbreth, Gt, Dachew, Ba, Dadras, O, Dai, Xc, Damiani, G, Dandona, L, Dandona, R, Daniel, Bd, Danielewicz, A, Gela, Jd, Davletov, K, de Araujo, Jap, de Sa, Ar, Debela, Sa, Dehghan, A, Demetriades, Ak, Molla, Md, Desai, R, Desta, Aa, da Silva, Dd, Diaz, D, Digesa, Le, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, Hl, Duko, B, Duncan, Bb, Edvardsson, K, Ekholuenetale, M, Elgar, Fj, Elhadi, M, Elmonem, Ma, Endries, Ay, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, Af, Fakhradiyev, Ir, Farahmand, F, Farinha, Cse, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, Nk, Feigin, Vl, Feldman, R, Feng, Xq, Fentaw, Z, Ferrero, S, Desideri, Lf, Filip, I, Fischer, F, Francis, Jm, Franklin, Rc, Gaal, Pa, Gad, Mm, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, Mgd, Gebremeskel, Tg, Gebremichael, Ma, Gemechu, Tr, Getacher, L, Getachew, Me, Obsa, Ag, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, Sh, Ghandour, La, Nour, Mg, Ghashghaee, A, Ghozy, S, Glozah, Fn, Glushkova, Ev, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, Tw, Gupta, B, Gupta, R, Gupta, S, Gupta, Vb, Gupta, Vk, Nejad, Nh, Mirzaian, Ah, Hall, Bj, Halwani, R, Handiso, Tb, Hankey, Gj, Hariri, S, Haro, Jm, Hasaballah, Ai, Moghaddam, Hh, Hay, Si, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, Dz, Hezam, K, Hlongwa, Mm, Holla, R, Hossain, Mm, Hossain, S, Hosseini, Sk, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, Gq, Huang, Jj, Hussain, S, Ibitoye, Se, Ilic, Im, Ilic, Md, Immurana, M, Irham, Lm, Islam, Mm, Islam, Rm, Islam, Sm, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, Sk, Jayarajah, Uu, Jayawardena, R, Jebai, R, Jeddi, Sa, Jema, At, Jha, Rp, Jindal, Ha, Jonas, Jb, Joo, T, Joseph, N, Joukar, F, Jozwiak, Jj, Jurisson, M, Kabir, A, Kabthymer, Rh, Kamble, Bd, Kandel, H, Kanno, Gg, Kapoor, N, Karaye, Im, Karimi, Se, Kassa, Bg, Kaur, Rj, Kayode, Ga, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, Ia, Ab Khan, M, Kim, H, Kim, J, Kim, M, Kimokoti, Rw, Kivimaki, M, Klymchuk, V, Knudsen, Ak, Kolahi, Aa, Korshunov, Va, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, Ga, Kumar, N, Ben, Lacey, Lallukka, T, Lasrado, S, Lau, J, Lee, Sw, Lee, Wc, Lee, Yh, Lim, Ll, Lim, S, Lobo, Sw, Lopukhov, Pd, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, Ra, Makki, A, Malekpour, Mr, Manjunatha, N, Mansouri, B, Mansournia, Ma, Raga, Jm, Villa, Fam, Matzopoulos, R, Maulik, Pk, Mayeli, M, Mcgrath, Jj, Meena, Jk, Nasab, Em, Menezes, Rg, Mensink, Gbm, Mentis, Afa, Meretoja, A, Merga, Bt, Mestrovic, T, Jonasson, Jm, Miazgowski, B, de Sa, Acmgn, Miller, Tr, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, Em, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, Am, Mohammed, Ta, Moka, N, Mokdad, Ah, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, Ec, Mulugeta, Bt, Zamora, Em, Murray, Cjl, Mwita, Jc, Naghavi, M, Naimzada, Md, Nangia, V, Nayak, Bp, Negoi, I, Negoi, Ri, Nejadghaderi, Sa, Nepal, S, Neupane, Spp, Kandel, Sn, Nigatu, Yt, Nowroozi, A, Nuruzzaman, Km, Nzoputam, Ci, Obamiro, Ko, Ogbo, Fa, Oguntade, A, Aliabad, Ho, Olakunde, Bo, Oliveira, Gmm, Bali, Ao, Omer, E, Altamirano, Dvo, Otoiu, A, Otstavnov, S, Oumer, B, Mahesh, Pa, Monedero, Ap, Palladino, R, Pana, A, Jonas, Sp, Pandey, A, Pardhan, S, Parekh, T, Park, Ek, Parry, Cdh, Kan, Fp, Patel, J, Pati, S, Patton, Gc, Paudel, U, Pawar, S, Peden, Ae, Petcu, Ir, Phillips, Mr, Pinheiro, M, Plotnikov, E, Pradhan, Pm, Prashant, A, Quan, Jc, Radfar, A, Rafiei, A, Raghav, Pr, Movaghar, Vr, Rahman, A, Rahman, Mm, Rahman, M, Rahmani, Am, Rahmani, S, Ranabhat, Cl, Ranasinghe, P, Rao, Cr, Rasali, Dp, Rashidi, Mm, Ratan, Za, Rawaf, Dl, Rawaf, S, Rawal, L, Renzaho, Amn, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, Sm, Rodriguez, Er, Roth, Ga, Rwegerera, Gm, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, Ma, Rahman, Ksu, Salahi, S, Salimzadeh, H, Samy, Am, Sanmarchi, F, Milicevic, Mm, Sarikhani, Y, Sathian, B, Saya, Gk, Sayyah, M, Schmidt, Mi, Schutte, Ae, Schwarzinger, M, Schwebel, Dc, Seidu, Aa, Seyedalinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, F, Shahrokhi, S, Shaikh, Ma, Shaker, E, Shakhmardanov, Mz, Beyranvand, M, Sheikhbahaei, S, Sheikhi, Ra, Shetty, A, Shetty, Jk, Shiferaw, D, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, Km, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, Nb, Sigfusdottir, Id, Silva, Da, da Silva, Nt, Singh, Ja, Singh, S, Skryabin, Vy, Skryabina, Aa, Sleet, Da, Solmi, M, Solomon, Y, Song, S, Song, Ym, Sorensen, Rjd, Soshnikov, S, Soyiri, In, Stein, Dj, Subba, Sh, Szocska, M, Seisdedos, Rt, Tabuchi, T, Taheri, M, Tan, Kk, Tareke, M, Tarkang, Ee, Temesgen, G, Temesgen, Wa, Temsah, Mh, Thankappan, Kr, Thapar, R, Thomas, Nk, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, Mrt, Tran, Mtn, Llimos, St, Tripathy, Jp, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, Sb, Vasankari, Tj, Vos, T, Wagaye, B, Waheed, Y, Walde, Mt, Wang, C, Wang, Yz, Wang, Yp, Westerman, R, Wickramasinghe, Nd, Wubetu, Ad, Xu, S, Yamagishi, K, Yang, L, Yesera, Gee, Yigit, A, Yimaw, Ae, Yon, Dk, Yonemoto, N, Yu, Ch, Zadey, S, Zahir, M, Zare, I, Zastrozhin, M, Zastrozhina, A, Zhang, Zj, Zhong, Cw, Zmaili, M, Zuniga, Ymh, Gakidou, E, Madureira-Carvalho, Am, Ciobanu, LG, Gakidou, Emma, and GBD 2020 Alcohol Collaborators
- Subjects
Adult ,Male ,Alcohol Drinking ,CONTROL POLICIES ,adult ,Child, Preschool ,Female ,Geography ,Global Burden of Disease ,Global Health ,Humans ,Middle Aged ,Quality-Adjusted Life Years ,Risk Factors ,NDAS ,ALL-CAUSE ,GUIDELINES ,GBD 2020 Alcohol Collaborators ,COST-EFFECTIVENESS ,Medicine, General & Internal ,DRINKING ,SDG 3 - Good Health and Well-being ,RA0421 ,General & Internal Medicine ,Quality-Adjusted Life Year ,RA0421 Public health. Hygiene. Preventive Medicine ,DRINKERS ,Child ,Preschool ,11 Medical and Health Sciences ,METAANALYSIS ,MCC ,Science & Technology ,global burden of disease ,Risk Factor ,General Medicine ,CANCER ,alcohol drinking ,AC ,3121 General medicine, internal medicine and other clinical medicine ,REDUCED MORTALITY ,Life Sciences & Biomedicine ,Human - Abstract
Background: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. Methods: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. Findings: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. Interpretation: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. Research reported in this publication was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges the support for intellectual contributions to this manuscript by the Department of Community Medicine and Epidemiology at King Edward Medical University, Lahore, Pakistan. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. L Belo acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. D Bennett is supported by the UK Medical Research Council Population Health Research Unit at the University of Oxford (Oxford, UK). M Carvalho acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. L Castro-de-Araujo was funded by the Medical Research Council (UK), Grant no. MR/T03355X/1 and by the National Institute of Mental Health Grant no. R01MH128911. FJ Elgar is supported by the Canada Research Chairs program. F Greaves acknowledges support from the NIHR Applied Research Collaboration for NW London. V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. VB Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. C Herteliu is partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is partially supported by a grant from the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported by the Operational Programme Research, Development and Education –Project, Postdoc2MUNI “(No. CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the National Health and Medical Research Council and received funding from the National Heart Foundation of Australia. The Serbian part of this GBD-related contribution has been co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. M Kivimaki was supported by the Wellcome Trust (221854/Z/20/Z), the UK Medical Research Council (MR/S011676/1), the US National Institute on Aging (R01AG056477), and the Academy of Finland (350426). K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. B Lacey acknowledges support from the UK Biobank, funded largely by the UK Medical Research Council and Wellcome. S Lorkowski acknowledges institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig (Germany; German Federal Ministry of Education and Research; grant agreement number 01EA1808A). G Lucchetti received a productivity scholarship from the Brazilian National Council for Scientific and Technological Development — CNPq (Level 1D). J McGrath was supported by the Danish National Research Foundation (Niels Bohr Professor). J McGrath is employed by the Queensland Centre for Mental Health Research (Australia), which receives support from the Queensland Health Department. C Parry acknowleges the South African Medical Research Council. A Peden is supported by a National Health and Medical Research Council Emerging Leadership Fellowship (Grant ID: APP2009306). M R Phillips was supported in part by the Global Alliance for Chronic Diseases - National Natural Science Foundation of China (NSFC. No. 81761128031). M Pinheiro acknowledges FCT for funding through program DL 57/2016 – Norma transitória. A Rahman acknowledges the support from the Data Science Research Unit in Charles Sturt University (Bathurst, NSW, Australia). U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges support from Ain Shams University (Cairo, Egypt) and the Egyptian Fulbright Mission Program. N Senthil Kumar acknowledges the DBT, New Delhi sponsored Advanced State Level Biotech Hub (BT/NER/143/SP44475/2021), Mizoram University (Aizawl, Mizoram, India) for facilitating this work. F Sha is supported by the Shenzhen Science and Technology Program (Grant No. KQTD20190929172835662). A Shetty acknowledges Kasturba Medical College (Mangalore, India) and Manipal Academy of Higher Education (Manipal, India) for all the academic support. R Shrestha acknowledges a career development award from the National Institutes of Health (K01DA051346). D Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001 and is supported in part by CNPq - Brazil (309589/2021-5). D Sleet acknowledges partial support from Veritas Management Group, Inc and The Bizzell Group, LLC. S Trias-Llimós acknowledges research funding from the Juan de la Cierva-Formación program of the Spanish Ministry of Science and Innovation (FJC-2019-039314-I). Sí
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- 2022
5. The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019
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Khanh Bao Tran, Justin J Lang, Kelly Compton, Rixing Xu, Alistair R Acheson, Hannah Jacqueline Henrikson, Jonathan M Kocarnik, Louise Penberthy, Amirali Aali, Qamar Abbas, Behzad Abbasi, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Michael Abdelmasseh, Sherief Abd-Elsalam, Ahmed Abdelwahab Abdelwahab, Gholamreza Abdoli, Hanan Abdulkadir Abdulkadir, Aidin Abedi, Kedir Hussein Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Abdorrahim Absalan, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Basavaprabhu Achappa, Juan Manuel Acuna, Daniel Addison, Isaac Yeboah Addo, Oyelola A Adegboye, Miracle Ayomikun Adesina, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Sumia Afrin, Muhammad Sohail Afzal, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Wajeeha Aiman, Marjan Ajami, Gizachew Taddesse Akalu, Mostafa Akbarzadeh-Khiavi, Addis Aklilu, Maxwell Akonde, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Turki M Alanzi, Saleh Ali Alessy, Abdelazeem M Algammal, Mohammed Khaled Al-Hanawi, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Syed Mohamed Aljunid, Motasem Alkhayyat, Sadeq Ali Ali Al-Maweri, Sami Almustanyir, Nivaldo Alonso, Shehabaldin Alqalyoobi, Rajaa M Al-Raddadi, Rami H Hani Al-Rifai, Salman Khalifah Al-Sabah, Ala'a B Al-Tammemi, Haya Altawalah, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Javad Javad Aminian Dehkordi, Mohammad Hosein Amirzade-Iranaq, Hubert Amu, Ganiyu Adeniyi Amusa, Robert Ancuceanu, Jason A Anderson, Yaregal Animut Animut, Amir Anoushiravani, Ali Arash Anoushirvani, Alireza Ansari-Moghaddam, Mustafa Geleto Ansha, Benny Antony, Maxwell Hubert Antwi, Sumadi Lukman Anwar, Razique Anwer, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Olatunde Aremu, Ayele Mamo Argaw, Hany Ariffin, Timur Aripov, Muhammad Arshad, Al Artaman, Judie Arulappan, Raphael Taiwo Aruleba, Armin Aryannejad, Malke Asaad, Mulusew A Asemahagn, Zatollah Asemi, Mohammad Asghari-Jafarabadi, Tahira Ashraf, Reza Assadi, Mohammad Athar, Seyyed Shamsadin Athari, Maha Moh'd Wahbi Atout, Sameh Attia, Avinash Aujayeb, Marcel Ausloos, Leticia Avila-Burgos, Atalel Fentahun Awedew, Mamaru Ayenew Awoke, Tewachew Awoke, Beatriz Paulina Ayala Quintanilla, Tegegn Mulatu Ayana, Solomon Shitu Ayen, Davood Azadi, Sina Azadnajafabad, Saber Azami-Aghdash, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Hosein Azizi, Ahmed Y Y Azzam, Amirhesam Babajani, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Nader Bagheri, Sara Bagherieh, Saeed Bahadory, Atif Amin Baig, Jennifer L Baker, Ahad Bakhtiari, Ravleen Kaur Bakshi, Maciej Banach, Indrajit Banerjee, Mainak Bardhan, Francesco Barone-Adesi, Fabio Barra, Amadou Barrow, Nasir Z Bashir, Azadeh Bashiri, Saurav Basu, Abdul-Monim Mohammad Batiha, Aeysha Begum, Alehegn Bekele Bekele, Alemayehu Sayih Belay, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Arielle Wilder Bell, Luis Belo, Habib Benzian, Alemshet Yirga Berhie, Amiel Nazer C Bermudez, Eduardo Bernabe, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Bharti Bhandari Bhandari, Nikha Bhardwaj, Pankaj Bhardwaj, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Soumitra S Bhuyan, Sadia Bibi, Awraris Hailu Bilchut, Bagas Suryo Bintoro, Antonio Biondi, Mesfin Geremaw Birega Birega, Habitu Eshetu Birhan, Tone Bjørge, Oleg Blyuss, Belay Boda Abule Bodicha, Srinivasa Rao Bolla, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Michael Brauer, Hermann Brenner, Andrey Nikolaevich Briko, Nikolay Ivanovich Briko, Christina Maree Buchanan, Norma B Bulamu, Maria Teresa Bustamante-Teixeira, Muhammad Hammad Butt, Nadeem Shafique Butt, Zahid A Butt, Florentino Luciano Caetano dos Santos, Luis Alberto Cámera, Chao Cao, Yin Cao, Giulia Carreras, Márcia Carvalho, Francieli Cembranel, Ester Cerin, Promit Ananyo Chakraborty, Periklis Charalampous, Vijay Kumar Chattu, Odgerel Chimed-Ochir, Jesus Lorenzo Chirinos-Caceres, Daniel Youngwhan Cho, William C S Cho, Devasahayam J Christopher, Dinh-Toi Chu, Isaac Sunday Chukwu, Aaron J Cohen, Joao Conde, Sandra Cortés, Vera Marisa Costa, Natália Cruz-Martins, Garland T Culbreth, Omid Dadras, Fentaw Teshome Dagnaw, Saad M A Dahlawi, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Parnaz Daneshpajouhnejad, Anna Danielewicz, An Thi Minh Dao, Reza Darvishi Cheshmeh Soltani, Aso Mohammad Darwesh, Saswati Das, Dragos Virgil Davitoiu, Elham Davtalab Esmaeili, Fernando Pio De la Hoz, Sisay Abebe Debela, Azizallah Dehghan, Biniyam Demisse, Fitsum Wolde Demisse, Edgar Denova-Gutiérrez, Afshin Derakhshani, Meseret Derbew Molla, Diriba Dereje, Kalkidan Solomon Deribe, Rupak Desai, Markos Desalegn Desalegn, Fikadu Nugusu Dessalegn, Samuel Abebe A Dessalegni, Gashaw Dessie, Abebaw Alemayehu Desta, Syed Masudur Rahman Dewan, Samath Dhamminda Dharmaratne, Meghnath Dhimal, Mostafa Dianatinasab, Nancy Diao, Daniel Diaz, Lankamo Ena Digesa, Shilpi Gupta Dixit, Saeid Doaei, Linh Phuong Doan, Paul Narh Doku, Deepa Dongarwar, Wendel Mombaque dos Santos, Tim Robert Driscoll, Haneil Larson Dsouza, Oyewole Christopher Durojaiye, Sareh Edalati, Fatemeh Eghbalian, Elham Ehsani-Chimeh, Ebrahim Eini, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Donatus U Ekwueme, Maha El Tantawi, Mostafa Ahmed Elbahnasawy, Iffat Elbarazi, Hesham Elghazaly, Muhammed Elhadi, Waseem El-Huneidi, Mohammad Hassan Emamian, Luchuo Engelbert Bain, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Tegegne Eshetu, Babak Eshrati, Sharareh Eskandarieh, Juan Espinosa-Montero, Farshid Etaee, Azin Etemadimanesh, Tahir Eyayu, Ifeanyi Jude Ezeonwumelu, Sayeh Ezzikouri, Adeniyi Francis Fagbamigbe, Saman Fahimi, Ildar Ravisovich Fakhradiyev, Emerito Jose A Faraon, Jawad Fares, Abbas Farmany, Umar Farooque, Hossein Farrokhpour, Abidemi Omolara Fasanmi, Ali Fatehizadeh, Wafa Fatima, Hamed Fattahi, Ginenus Fekadu, Berhanu Elfu Feleke, Allegra Allegra Ferrari, Simone Ferrero, Lorenzo Ferro Desideri, Irina Filip, Florian Fischer, Roham Foroumadi, Masoud Foroutan, Takeshi Fukumoto, Peter Andras Gaal, Mohamed M Gad, Muktar A Gadanya, Abduzhappar Gaipov, Nasrin Galehdar, Silvano Gallus, Tushar Garg, Mariana Gaspar Fonseca, Yosef Haile Gebremariam, Teferi Gebru Gebremeskel, Mathewos Alemu Gebremichael, Yohannes Fikadu Geda, Yibeltal Yismaw Gela, Belete Negese Belete Gemeda, Melaku Getachew, Motuma Erena Getachew, Kazem Ghaffari, Mansour Ghafourifard, Seyyed-Hadi Ghamari, Mohammad Ghasemi Nour, Fariba Ghassemi, Ajnish Ghimire, Nermin Ghith, Maryam Gholamalizadeh, Jamshid Gholizadeh Navashenaq, Sherief Ghozy, Syed Amir Gilani, Paramjit Singh Gill, Themba G Ginindza, Abraham Tamirat T Gizaw, James C Glasbey, Justyna Godos, Amit Goel, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Mohamad Golitaleb, Giuseppe Gorini, Bárbara Niegia Garcia Goulart, Giuseppe Grosso, Habtamu Alganeh Guadie, Mohammed Ibrahim Mohialdeen Gubari, Temesgen Worku Gudayu, Maximiliano Ribeiro Guerra, Damitha Asanga Gunawardane, Bhawna Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Mekdes Kondale Gurara, Alemu Guta, Parham Habibzadeh, Atlas Haddadi Avval, Nima Hafezi-Nejad, Adel Hajj Ali, Arvin Haj-Mirzaian, Esam S Halboub, Aram Halimi, Rabih Halwani, Randah R Hamadeh, Sajid Hameed, Samer Hamidi, Asif Hanif, Sanam Hariri, Netanja I Harlianto, Josep Maria Haro, Risky Kusuma Hartono, Ahmed I Hasaballah, S M Mahmudul Hasan, Hamidreza Hasani, Seyedeh Melika Hashemi, Abbas M Hassan, Soheil Hassanipour, Khezar Hayat, Golnaz Heidari, Mohammad Heidari, Zahra Heidarymeybodi, Brenda Yuliana Herrera-Serna, Claudiu Herteliu, Kamal Hezam, Yuta Hiraike, Mbuzeleni Mbuzeleni Hlongwa, Ramesh Holla, Marianne Holm, Nobuyuki Horita, Mohammad Hoseini, Md Mahbub Hossain, Mohammad Bellal Hossain Hossain, Mohammad-Salar Hosseini, Ali Hosseinzadeh, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Mowafa Househ, Junjie Huang, Fernando N Hugo, Ayesha Humayun, Salman Hussain, Nawfal R Hussein, Bing-Fang Hwang, Segun Emmanuel Ibitoye, Pulwasha Maria Iftikhar, Kevin S Ikuta, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Kaire Innos, Pooya Iranpour, Lalu Muhammad Irham, Md Shariful Islam, Rakibul M Islam, Farhad Islami, Nahlah Elkudssiah Ismail, Gaetano Isola, Masao Iwagami, Linda Merin J, Abhishek Jaiswal, Mihajlo Jakovljevic, Mahsa Jalili, Shahram Jalilian, Elham Jamshidi, Sung-In Jang, Chinmay T Jani, Tahereh Javaheri, Umesh Umesh Jayarajah, Shubha Jayaram, Seyed Behzad Jazayeri, Rime Jebai, Bedru Jemal, Wonjeong Jeong, Ravi Prakash Jha, Har Ashish Jindal, Yetunde O John-Akinola, Jost B Jonas, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Mikk Jürisson, Ali Kabir, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Farima Kahe, Pradnya Vishal Kakodkar, Laleh R Kalankesh, Leila R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Farin Kamangar, Ashwin Kamath, Tanuj Kanchan, Eswar Kandaswamy, Himal Kandel, HyeJung Kang, Girum Gebremeskel Kanno, Neeti Kapoor, Sitanshu Sekhar Kar, Shama D Karanth, Ibraheem M Karaye, André Karch, Amirali Karimi, Bekalu Getnet Kassa, Patrick DMC Katoto, Joonas H Kauppila, Harkiran Kaur, Abinet Gebremickael Kebede, Leila Keikavoosi-Arani, Gemechu Gemechu Kejela, Phillip M Kemp Bohan, Maryam Keramati, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Abdul Aziz Khan Khan, Ejaz Ahmad Khan, Gulfaraz Khan, Md Nuruzzaman Khan, Moien AB Khan, Javad Khanali, Khaled Khatab, Moawiah Mohammad Khatatbeh, Mahalaqua Nazli Khatib, Maryam Khayamzadeh, Hamid Reza Khayat Kashani, Mohammad Amin Khazeei Tabari, Mehdi Khezeli, Mahmoud Khodadost, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Miloslav Klugar, Jitka Klugarová, Ali-Asghar Kolahi, Pavel Kolkhir, Farzad Kompani, Parvaiz A Koul, Sindhura Lakshmi Koulmane Laxminarayana, Ai Koyanagi, Kewal Krishan, Yuvaraj Krishnamoorthy, Burcu Kucuk Bicer, Nuworza Kugbey, Mukhtar Kulimbet, Akshay Kumar, G Anil Kumar, Narinder Kumar, Om P Kurmi, Ambily Kuttikkattu, Carlo La Vecchia, Arista Lahiri, Dharmesh Kumar Lal, Judit Lám, Qing Lan, Iván Landires, Bagher Larijani, Savita Lasrado, Jerrald Lau, Paolo Lauriola, Caterina Ledda, Sang-woong Lee, Shaun Wen Huey Lee, Wei-Chen Lee, Yeong Yeh Lee, Yo Han Lee, Samson Mideksa Legesse, James Leigh, Elvynna Leong, Ming-Chieh Li, Stephen S Lim, Gang Liu, Jue Liu, Chun-Han Lo, Ayush Lohiya, Platon D Lopukhov, László Lorenzovici, Mojgan Lotfi, Joana A Loureiro, Raimundas Lunevicius, Farzan Madadizadeh, Ahmad R Mafi, Sameh Magdeldin, Soleiman Mahjoub, Ata Mahmoodpoor, Morteza Mahmoudi, Marzieh Mahmoudimanesh, Rashidul Alam Mahumud, Azeem Majeed, Jamal Majidpoor, Alaa Makki, Konstantinos Christos Makris, Elaheh Malakan Rad, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Tauqeer Hussain Mallhi, Sneha Deepak Mallya, Mohammed A Mamun, Ana Laura Manda, Fariborz Mansour-Ghanaei, Borhan Mansouri, Mohammad Ali Mansournia, Lorenzo Giovanni Mantovani, Santi Martini, Miquel Martorell, Sahar Masoudi, Seyedeh Zahra Masoumi, Clara N Matei, Elezebeth Mathews, Manu Raj Mathur, Vasundhara Mathur, Martin McKee, Jitendra Kumar Meena, Khalid Mehmood, Entezar Mehrabi Nasab, Ravi Mehrotra, Addisu Melese, Walter Mendoza, Ritesh G Menezes, SIsay Derso Mengesha, Laverne G Mensah, Alexios-Fotios A Mentis, Andry Yasmid Mera Mera-Mamián, Tuomo J Meretoja, Mehari Woldemariam Merid, Amanual Getnet Mersha, Belsity Temesgen Meselu, Mahboobeh Meshkat, Tomislav Mestrovic, Junmei Miao Jonasson, Tomasz Miazgowski, Irmina Maria Michalek, Gelana Fekadu Worku Mijena, Ted R Miller, Shabir Ahmad Mir, Seyed Kazem Mirinezhad, Seyyedmohammadsadeq Mirmoeeni, Mohammad Mirza-Aghazadeh-Attari, Hamed Mirzaei, Hamid Reza Mirzaei, Abay Sisay Misganaw, Sanjeev Misra, Karzan Abdulmuhsin Mohammad, Esmaeil Mohammadi, Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Alex Molassiotis, Mariam Molokhia, Kaveh Momenzadeh, Sara Momtazmanesh, Lorenzo Monasta, Ute Mons, Ahmed Al Montasir, Fateme Montazeri, Arnulfo Montero, Mohammad Amin Moosavi, Abdolvahab Moradi, Yousef Moradi, Mostafa Moradi Sarabi, Paula Moraga, Lidia Morawska, Shane Douglas Morrison, Jakub Morze, Abbas Mosapour, Ebrahim Mostafavi, Seyyed Meysam Mousavi, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Francesk Mulita, Daniel Munblit, Sandra B Munro, Efrén Murillo-Zamora, Jonah Musa, Ashraf F Nabhan, Ahamarshan Jayaraman Nagarajan, Shankar Prasad Nagaraju, Gabriele Nagel, Mohammadreza Naghipour, Mukhammad David Naimzada, Tapas Sadasivan Nair, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Aparna Ichalangod Narayana, Hasan Nassereldine, Zuhair S Natto, Biswa Prakash Nayak, Rawlance Ndejjo, Sabina Onyinye Nduaguba, Wogene Wogene Negash, Seyed Aria Nejadghaderi, Kazem Nejati, Sandhya Neupane Kandel, Huy Van Nguyen Nguyen, Robina Khan Niazi, Nurulamin M Noor, Maryam Noori, Nafise Noroozi, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Oluwakemi Ololade Odukoya, Onome Bright Oghenetega, Ropo Ebenezer Ogunsakin, Ayodipupo Sikiru Oguntade, In-Hwan Oh, Hassan Okati-Aliabad, Akinkunmi Paul Okekunle, Andrew T Olagunju, Tinuke O Olagunju, Babayemi Oluwaseun Olakunde, Isaac Iyinoluwa Olufadewa, Emad Omer, Abidemi E Emmanuel Omonisi, Sokking Ong, Obinna E Onwujekwe, Hans Orru, Stanislav S Otstavnov, Abderrahim Oulhaj, Bilcha Oumer, Oluwatomi Funbi Owopetu, Babatunji Emmanuel Oyinloye, Mahesh P A, Alicia Padron-Monedero, Jagadish Rao Padubidri, Babak Pakbin, Keyvan Pakshir, Reza Pakzad, Tamás Palicz, Adrian Pana, Anamika Pandey, Ashok Pandey, Suman Pant, Shahina Pardhan, Eun-Cheol Park, Eun-Kee Park, Seoyeon Park, Jay Patel, Siddhartha Pati, Rajan Paudel, Uttam Paudel, Mihaela Paun, Hamidreza Pazoki Toroudi, Minjin Peng, Jeevan Pereira, Renato B Pereira, Simone Perna, Navaraj Perumalsamy, Richard G Pestell, Raffaele Pezzani, Cristiano Piccinelli, Julian David Pillay, Zahra Zahid Piracha, Tobias Pischon, Maarten J Postma, Ashkan Pourabhari Langroudi, Akram Pourshams, Naeimeh Pourtaheri, Akila Prashant, Mirza Muhammad Fahd Qadir, Zahiruddin Quazi Syed, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Raghu Anekal Radhakrishnan, Venkatraman Radhakrishnan, Mojtaba Raeisi, Ata Rafiee, Alireza Rafiei, Nasiru Raheem, Fakher Rahim, Md Obaidur Rahman, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Shayan Rahmani, Vahid Rahmanian, Nazanin Rajai, Aashish Rajesh, Pradhum Ram, Kiana Ramezanzadeh, Juwel Rana, Kamal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Sowmya J Rao, Sina Rashedi, Amirfarzan Rashidi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Lal Rawal, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Ashfaq Ur Rehman, Inayat ur Rehman, Marissa B Reitsma, Andre M N Renzaho, Maryam Rezaei, Nazila Rezaei, Negar Rezaei, Nima Rezaei, Saeid Rezaei, Mohsen Rezaeian, Aziz Rezapour, Abanoub Riad, Reza Rikhtegar, Maria Rios-Blancas, Thomas J Roberts, Peter Rohloff, Esperanza Romero-Rodríguez, Gholamreza Roshandel, Godfrey M Rwegerera, Manjula S, Maha Mohamed Saber-Ayad, Bahar Saberzadeh-Ardestani, Siamak Sabour, Basema Saddik, Erfan Sadeghi, Mohammad Reza Saeb, Umar Saeed, Mohsen Safaei, Azam Safary, Maryam Sahebazzamani, Amirhossein Sahebkar, Harihar Sahoo, Mirza Rizwan Sajid, Hedayat Salari, Sana Salehi, Marwa Rashad Salem, Hamideh Salimzadeh, Yoseph Leonardo Samodra, Abdallah M Samy, Juan Sanabria, Senthilkumar Sankararaman, Francesco Sanmarchi, Milena M Santric-Milicevic, Muhammad Arif Nadeem Saqib, Arash Sarveazad, Fatemeh Sarvi, Brijesh Sathian, Maheswar Satpathy, Nicolas Sayegh, Ione Jayce Ceola Schneider, Michaël Schwarzinger, Mario Šekerija, Subramanian Senthilkumaran, Sadaf G Sepanlou, Allen Seylani, Kenbon Seyoum, Feng Sha, Omid Shafaat, Pritik A Shah, Saeed Shahabi, Izza Shahid, Mohammad Amin Shahrbaf, Hamid R Shahsavari, Masood Ali Shaikh, Mohammed Feyisso Shaka, Elaheh Shaker, Mohammed Shannawaz, Mequannent Melaku Sharew Sharew, Azam Sharifi, Javad Sharifi-Rad, Purva Sharma, Bereket Beyene Shashamo, Aziz Sheikh, Mahdi Sheikh, Sara Sheikhbahaei, Rahim Ali Sheikhi, Ali Sheikhy, Peter Robin Shepherd, Adithi Shetty, Jeevan K Shetty, Ranjitha S Shetty, Kenji Shibuya, Reza Shirkoohi, Hesamaddin Shirzad-Aski, K M Shivakumar, Siddharudha Shivalli, Velizar Shivarov, Parnian Shobeiri, Zahra Shokri Varniab, Seyed Afshin Shorofi, Sunil Shrestha, Migbar Mekonnen Sibhat, Sudeep K Siddappa Malleshappa, Negussie Boti Sidemo, Diego Augusto Santos Silva, Luís Manuel Lopes Rodrigues Silva, Guilherme Silva Julian, Nicola Silvestris, Wudneh Simegn, Achintya Dinesh Singh, Ambrish Singh, Garima Singh, Harpreet Singh, Jasvinder A Singh, Jitendra Kumar Singh, Paramdeep Singh, Surjit Singh, Dhirendra Narain Sinha, Abiy H Sinke, Md Shahjahan Siraj, Freddy Sitas, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Matthew J Soeberg, Ahmad Sofi-Mahmudi, Yonatan Solomon, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Yimeng Song, Reed J D Sorensen, Sergey Soshnikov, Houman Sotoudeh, Alieu Sowe, Mu'awiyyah Babale Sufiyan, Ryan Suk, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Saima Sultana, Daniel Sur, Miklós Szócska, Seidamir Pasha Tabaeian, Rafael Tabarés-Seisdedos, Seyyed Mohammad Tabatabaei, Takahiro Tabuchi, Hooman Tadbiri, Ensiyeh Taheri, Majid Taheri, Moslem Taheri Soodejani, Ken Takahashi, Iman M Talaat, Mircea Tampa, Ker-Kan Tan, Nathan Y Tat, Vivian Y Tat, Ahmad Tavakoli, Arash Tavakoli, Arash Tehrani-Banihashemi, Yohannes Tekalegn, Fisaha Haile Tesfay, Rekha Thapar, Aravind Thavamani, Viveksandeep Thoguluva Chandrasekar, Nihal Thomas, Nikhil Kenny Thomas, Jansje Henny Vera Ticoalu, Amir Tiyuri, Daniel Nigusse Tollosa, Roman Topor-Madry, Mathilde Touvier, Marcos Roberto Tovani-Palone, Eugenio Traini, Mai Thi Ngoc Tran, Jaya Prasad Tripathy, Gebresilasea Gendisha Ukke, Irfan Ullah, Saif Ullah, Sana Ullah, Bhaskaran Unnikrishnan, Marco Vacante, Maryam Vaezi, Sahel Valadan Tahbaz, Pascual R Valdez, Constantine Vardavas, Shoban Babu Varthya, Siavash Vaziri, Diana Zuleika Velazquez, Massimiliano Veroux, Paul J Villeneuve, Francesco S Violante, Sergey Konstantinovitch Vladimirov, Vasily Vlassov, Bay Vo, Linh Gia Vu, Abdul Wadood Wadood, Yasir Waheed, Mandaras Tariku Walde, Richard G Wamai, Cong Wang, Fang Wang, Ning Wang, Yu Wang, Paul Ward, Abdul Waris, Ronny Westerman, Nuwan Darshana Wickramasinghe, Melat Woldemariam, Berhanu Woldu, Hong Xiao, Suowen Xu, Xiaoyue Xu, Lalit Yadav, Seyed Hossein Yahyazadeh Jabbari, Lin Yang, Fereshteh Yazdanpanah, Yigizie Yeshaw, Yazachew Yismaw, Naohiro Yonemoto, Mustafa Z Younis, Zabihollah Yousefi, Fatemeh Yousefian, Chuanhua Yu, Yong Yu, Ismaeel Yunusa, Mazyar Zahir, Nazar Zaki, Burhan Abdullah Zaman, Moein Zangiabadian, Fariba Zare, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Mohammad A Zeineddine, Dongyu Zhang, Jianrong Zhang, Yunquan Zhang, Zhi-Jiang Zhang, Linghui Zhou, Sanjay Zodpey, Mohammad Zoladl, Theo Vos, Simon I Hay, Lisa M Force, Christopher J L Murray, Helsinki University Hospital Area, HUS Comprehensive Cancer Center, Tran, K, Lang, J, Compton, K, Xu, R, Acheson, A, Henrikson, H, Kocarnik, J, Penberthy, L, Aali, A, Abbas, Q, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdoli, G, Abdulkadir, H, Abedi, A, Abegaz, K, Abidi, H, Aboagye, R, Abolhassani, H, Absalan, A, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Achappa, B, Acuna, J, Addison, D, Addo, I, Adegboye, O, Adesina, M, Adnan, M, Adnani, Q, Advani, S, Afrin, S, Afzal, M, Aggarwal, M, Ahinkorah, B, 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Rashidi, M, Ratan, Z, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, M, Rehman, A, Rehman, I, Reitsma, M, Renzaho, A, Rezaei, M, Rezaei, N, Rezaei, S, Rezaeian, M, Rezapour, A, Riad, A, Rikhtegar, R, Rios-Blancas, M, Roberts, T, Rohloff, P, Romero-Rodriguez, E, Roshandel, G, Rwegerera, G, S, M, Saber-Ayad, M, Saberzadeh-Ardestani, B, Sabour, S, Saddik, B, Sadeghi, E, Saeb, M, Saeed, U, Safaei, M, Safary, A, Sahebazzamani, M, Sahebkar, A, Sahoo, H, Sajid, M, Salari, H, Salehi, S, Salem, M, Salimzadeh, H, Samodra, Y, Samy, A, Sanabria, J, Sankararaman, S, Sanmarchi, F, Santric-Milicevic, M, Saqib, M, Sarveazad, A, Sarvi, F, Sathian, B, Satpathy, M, Sayegh, N, Schneider, I, Schwarzinger, M, Sekerija, M, Senthilkumaran, S, Sepanlou, S, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shah, P, Shahabi, S, Shahid, I, Shahrbaf, M, Shahsavari, H, Shaikh, M, Shaka, M, Shaker, E, Shannawaz, M, Sharew, M, Sharifi, A, Sharifi-Rad, J, Sharma, P, Shashamo, B, Sheikh, A, Sheikh, M, Sheikhbahaei, S, Sheikhi, R, Sheikhy, A, Shepherd, P, Shetty, A, Shetty, J, Shetty, R, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shivarov, V, Shobeiri, P, Shokri Varniab, Z, Shorofi, S, Shrestha, S, Sibhat, M, Siddappa Malleshappa, S, Sidemo, N, Silva, D, Silva, L, Silva Julian, G, Silvestris, N, Simegn, W, Singh, A, Singh, G, Singh, H, Singh, J, Singh, P, Singh, S, Sinha, D, Sinke, A, Siraj, M, Sitas, F, Siwal, S, Skryabin, V, Skryabina, A, Socea, B, Soeberg, M, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, M, Song, S, Song, Y, Sorensen, R, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, M, Suk, R, Suleman, M, Suliankatchi Abdulkader, R, Sultana, S, Sur, D, Szocska, M, Tabaeian, S, Tabares-Seisdedos, R, Tabatabaei, S, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Taheri Soodejani, M, Takahashi, K, Talaat, I, Tampa, M, Tan, K, Tat, N, Tat, V, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, F, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Ticoalu, J, Tiyuri, A, Tollosa, D, Topor-Madry, R, Touvier, M, Tovani-Palone, M, Traini, E, Tran, M, Tripathy, J, Ukke, G, Ullah, I, Ullah, S, Unnikrishnan, B, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Valdez, P, Vardavas, C, Varthya, S, Vaziri, S, Velazquez, D, Veroux, M, Villeneuve, P, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Vu, L, Wadood, A, Waheed, Y, Walde, M, Wamai, R, Wang, C, Wang, F, Wang, N, Wang, Y, Ward, P, Waris, A, Westerman, R, Wickramasinghe, N, Woldemariam, M, Woldu, B, Xiao, H, Xu, S, Xu, X, Yadav, L, Yahyazadeh Jabbari, S, Yang, L, Yazdanpanah, F, Yeshaw, Y, Yismaw, Y, Yonemoto, N, Younis, M, Yousefi, Z, Yousefian, F, Yu, C, Yu, Y, Yunusa, I, Zahir, M, Zaki, N, Zaman, B, Zangiabadian, M, Zare, F, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeineddine, M, Zhang, D, Zhang, J, Zhang, Y, Zhang, Z, Zhou, L, Zodpey, S, Zoladl, M, Vos, T, Hay, S, Force, L, Murray, C, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, Bill & Melinda Gates Foundation, Kuwait University (Kuwait), Ministry of Higher Education (Malasia), Lega Italiana per la Lotta ai Tumori, Health Effects Institute (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Fundação para a Ciência e Tecnologia (Portugal), African-German Network of Excellence in Science (AGNES), Federal Ministry of Education & Research (Alemania), Alexander von Humboldt Foundation, Novo Nordisk Foundation, National Institute for Health Research (Reino Unido), National Health and Medical Research Council (Australia), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Ministry of Education, Science and Technological Development (Serbia), Sigrid Jusélius Foundation, Finnish Cancer Foundation, Datta Meghe Institute of Medical Sciences (India), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Panjab University (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), Ministry of Science and Technology (Taiwan), Lung Foundation Australia, National Natural Science Foundation of China, Wellcome Trust, UNSW Sydney (Australia), ICMR - National Institute of Epidemiology (India), University of Tasmania (Australia), National Council for Scientific and Technological Development (Brasil), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Institute for Advanced Studies in Basic Sciences (Irán), Ain Shams University (Egipto), International Center of Medical Sciences Research (Islamabad), National Institutes of Health (Estados Unidos), University of Oxford (Reino Unido), National Institute of Genetic Engineering and Biotechnology (Irán), Marga und Walter Boll - Stiftung, Ministero della Salute (Italia), IRCCS Materno Infantile Burlo Garofolo (Italia), King College London, Wellcome Trust/DBT India Alliance (India), Public Health, University of St Andrews. School of Medicine, and University of St Andrews. Population and Behavioural Science Division
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Male ,DEATHS ,DALY, cancer, risk factors ,Medizin ,systematic analysis ,Global Health ,Risk Assessment ,Cancer prevention ,Global Burden of Disease ,RC0254 ,Risk-attributable cancer deaths ,SDG 3 - Good Health and Well-being ,RA0421 ,Risk Factors ,RA0421 Public health. Hygiene. Preventive Medicine ,Quality-Adjusted Life Year ,Neoplasms ,cancer ,Humans ,Global Burden of Disease Study ,UK ,Medicine(all) ,MCC ,RC0254 Neoplasms. Tumors. Oncology (including Cancer) ,Risk Factor ,Smoking ,COVID-19 ,3rd-DAS ,General Medicine ,Disability-adjusted life-years ,SOCIAL DETERMINANTS ,Risk assessments ,risk factor ,Cardiovascular and Metabolic Diseases ,3121 General medicine, internal medicine and other clinical medicine ,OBESITY ,Cancer burden ,Neoplasm ,Female ,LIFE-STYLE ,Quality-Adjusted Life Years ,HEALTH ,RA ,Human ,RC - 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% [27·9-42·8] and 33·3% [25·8-42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. We are grateful to the surveillance systems, including cancer registries, that generated and shared observed cancer burden data. S M Aljunid acknowledges the Department of Health Policy and Management, College of Public Health, Kuwait University for the approval and support to participate in this research project. H Ariffin acknowledges support from the Ministry of Higher Education, Malaysia (grant FRGS/1/2021/SKK0/UM/01/1). F Barra acknowledges support from Lega Italiana per la Lotta contro i Tumori - LILT - Bando 5 x 1000 anno 2019. L Belo and M Carvalho acknowledge the support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A J Cohen was supported by the Health Effects Institute, Boston, MA, USA. J Conde acknowledges financial support from the European Research Council - ERC Starting Grant 848325. V M Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006. T C Ekundayo was supported by the African-German Network of Excellence in Science (AGNES), the Federal Ministry of Education and Research (BMBF) and the Alexander von Humboldt Foundation (AvH). N Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). J C Glasbey is support by a Doctoral Research Fellowship from the National Institute of Health Research (NIHR300175). V K Gupta and V B Gupta acknowledge funding support from National Health and Medical Research Council (NHMRC), Australia. C Herteliu, A Pana, and M Ausloos acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is also partially supported by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported from Operational Programme Research, Development and Education–Project, Postdoc2MUNI (number CZ.02.2. 69/0.0/0.0/18_053/0016952). M Jakovljevic acknowledges partial support through the grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. J H Kauppila acknowledges research grants from Sigrid Jusélius Foundation and the Finnish Cancer Foundation. M N Khatib acknowledges support from Datta Meghe Institute of Medical Sciences (deemed-to-be-university). Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional assistance by Manipal Academy of Higher Education, Manipal. K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. I Landires is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). M-C Li was supported by the Ministry of Science and Technology, Taiwan (MOST 110-2314-B-003-001). G Liu acknowledges support from the CREATE Hope scientific fellowship from Lung Foundation Australia. J Liu acknowledges support from the National Natural Science Foundation (72122001). J A Loureiro was supported by Scientific Employment Stimulus (FCT; CEECINST/00049/2018). E Mathews is supported by a Clinical and Public Health Early Career Fellowship (grant number IA/CPHE/17/1/503345) from the DBT India Alliance/Wellcome Trust Department of Biotechnology, India Alliance (2018–2023). T J Meretoja was supported by an unrestricted grant from Cancer Foundation Finland sr. S Mohammed acknowledges a fellowship grant from Alexander von Humboldt Foundation, outside the submitted work. M Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta received support from the Italian Ministry of Health at the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste - Italy (RC 34/2017). U Mons is supported by the Marga and Walter Boll Foundation, Kerpen, Germany. M A Moosavi acknowledges the financial support of National Institute of Genetics Engineering and Biotechnology (NIGEB). J Musa acknowledges support from the NIH/FICK43TW011416 for research-protected time for cervical cancer research and career development at University of Jos. V Nuñez-Samudio is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). O O Odukoya acknowledges support by the Fogarty International Center of the National Institutes of Health under the award number K43TW010704 for research-protected time. The content is solely the responsibility of all the authors and does not necessarily represent the official views of the National Institutes of Health. A S Oguntade acknowledges funding by a doctoral scholarship from the Nuffield Department of Population Health, University of Oxford (Oxford Population Health). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for their constant support in research collaborations. R G Pestell acknowledges support from NIH grant W81XWH1810605 Breast Cancer Research, Breakthrough Grant R21 CA235139-01. Z Z Piracha acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. R A Radhakrishnan acknowledges support from Wellcome Trust/DBT India Alliance - IA/CPHI/18/1/503927. U Saeed acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Science and Technology Program (grant number KQTD20190929172835662). H R Shahsavari acknowledges the Institute for Advanced Studies in Basic Sciences (IASBS) Research Council. A Shetty acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. D A S Silva acknowledges financing in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001 and D A S Silva is supported in part by CNPq-Brazil (309589/2021-5). L M L R Silva was supported by project CENTRO-04-3559-FSE-000162, Fundo Social Europeu (FSE). Am Singh is supported by the International Graduate Research Scholarship, University of Tasmania. R Suliankatchi Abdulkader acknowledges support from ICMR—National Institute of Epidemiology. B Unnikrishnan acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. H Xiao acknowledges support from the Public Health Sciences Division of the Fred Hutchinson Cancer Research Center. X Xu is supported by the University of New South Wales (Australia) Scientia Program. C Yu was supported by the National Natural Science Foundation of China (grant number 82173626) and Wuhan Medical Research Program of Joint Fund of Hubei Health Committee (grant number WJ2019H304). Sí
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- 2022
6. Breaking the silence of female genital schistosomiasis in Ghana's health system: A case of health workers within the FAST project.
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Gyapong M, Dalaba MA, Immurana M, Manyeh AK, Arogundade K, Jacobson J, and Krentel A
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Background: Female Genital Schistosomiasis (FGS) remains a critical and yet neglected topics in Neglected Tropical Diseases (NTDs), significantly affecting the health of women and girls worldwide. Health workers' knowledge of FGS is vital to the prevention and management of the disease. This study adopted an implementation research approach to identify and address the existing knowledge gap regarding FGS among healthcare workers in Ghana., Methods: This study was a 3-year (2020-2022) implementation research applying a pragmatic uncontrolled quasi-experimental study design. The study involved a baseline assessment, FGS training intervention for health workers and student nurses, distribution of FGS educational materials, and an endline assessment. A mixed-method approach was applied to data collection involving health workers from two schistosomiasis endemic districts and across the country. NVIVO 12 and STATA 14 were used for qualitative and quantitative data analysis, respectively., Results: Prior to the intervention, the level of awareness about FGS among health workers was less than 8%, and most participants only understood FGS as merely urogenital schistosomiasis in females. In response to this gap, an FGS education intervention in the form of training of health workers, student nurses alongside the distribution of FGS educational materials were carried out. The intervention enhanced health workers' awareness of FGS to more than 61%, encompassing an enhanced understanding of the disease's signs and symptoms to more than 60%, as well as its management strategies. However, access to praziquantel, the primary treatment, remained a significant challenge., Conclusions: The FGS intervention effectively raised healthcare workers' awareness and knowledge. Expanding training and improving praziquantel access are essential for optimal FGS management. A multi-faceted approach involving individuals, communities, and the healthcare system is necessary for comprehensive FGS prevention and control., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Gyapong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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7. Road injuries, labor productivity, and economic growth in Africa: A panel study.
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Immurana M, Azuug M, Abdullahi I, Kisseih KG, Mohammed A, Boachie MK, and Kizhakkekara TJM
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Background and Aims: Globally, millions of people suffer from road injuries, with Africa having the highest burden of road injury deaths. This public health problem has the potential to reduce labor productivity and hence hamper economic growth, especially on the African continent. This study, to the best of the authors' knowledge, therefore seeks to provide the first empirical evidence of the interaction or combined effect of road injuries and labor productivity on economic growth in African countries., Methods: The study uses annual data on 45 African countries over the period, 2002 to 2019. The dynamic panel system generalized method of moments regression is used as the estimation technique., Results: The findings show that the interaction of road injuries with labor productivity has a negative significant effect on economic growth in both the short-run (coefficient: -1.96, p < 0.01) and long-run (coefficient: -1.93, p < 0.01) periods., Conclusion: There is a need to increase investment in road safety to reduce the prevalence of road injuries on the African continent., Competing Interests: The authors declare no conflicts of interest., (© 2024 The Author(s). Health Science Reports published by Wiley Periodicals LLC.)
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- 2024
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8. The Effect of Economic Growth on the Utilisation of Childhood Immunisation: New Evidence From 50 African Countries.
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Immurana M and Abdul Rahman AM
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Africa bears the greatest brunt of under-five mortality in the world. Among the major approaches used in tackling under-five deaths is childhood immunisation. While income is regarded as a major determinant of demand for child health inputs including immunisation, the existing studies are microlevel analyses, which do not provide a bigger picture of how an enhancement in economic growth (aggregate income) contributes to the utilisation of childhood immunisation in an economy as a whole. Since Africa has experienced economic growth in the recent decades, this study aims to fill this gap in the literature by examining the contribution of economic growth to the utilisation of childhood immunisation in selected African countries. The study uses a panel design involving data on 50 African countries over the period, 2002 to 2019. Utilisation of DPT (diphtheria, pertussis (or whooping cough) and tetanus) and measles immunisation are used as proxies for childhood immunisation while the system Generalised Method of Moments (GMM) regression is used as the estimation technique. We find economic growth to have a positive significant effect on the utilisation of childhood immunisation. Thus, it is imperative to intensify the enablers of economic growth in Africa in order to increase the utilisation of childhood immunisation., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)
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- 2024
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9. Dynamics of combatting market-driven epidemics: Insights from U.S. reduction of cigarette, sugar, and prescription opioid consumption.
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Rimányi E, Quick JD, Yamey G, Immurana M, Malik VS, Doherty T, and Jafar Z
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Misuse and overconsumption of certain consumer products have become major global risk factors for premature deaths, with their total costs in trillions of dollars. Progress in reducing such deaths has been slow and difficult. To address this challenge, this review introduces the definition of market-driven epidemics (MDEs), which arise when companies aggressively market products with proven harms, deny these harms, and resist mitigation efforts. MDEs are a specific within the broader landscape of commercial determinants of health. We selected three illustrative MDE products reflecting different consumer experiences: cigarettes (nicotine delivery product), sugar (food product), and prescription opioids (medical product). Each met the MDE case definition with proven adverse health impacts, well-documented histories, longitudinal product consumption and health impact data, and sustained reduction in product consumption. Based on these epidemics, we describe five MDE phases: market expansion, evidence of harm, corporate resistance, mitigation, and market adaptation. From the peak of consumption to the most recent data, U.S. cigarette sales fell by 82%, sugar consumption by 15%, and prescription opioid prescriptions by 62%. For each, the consumption tipping point occurred when compelling evidence of harm, professional alarm, and an authoritative public health voice and/or public mobilization overcame corporate marketing and resistance efforts. The gap between suspicion of harm and the consumption tipping point ranged from one to five decades-much of which was attributable to the time required to generate sufficient evidence of harm. Market adaptation to the reduced consumption of target products had both negative and positive impacts. To our knowledge, this is the first comparative analysis of three successful efforts to change the product consumption patterns and the associated adverse health impacts of these products. The MDE epidemiological approach of shortening the latent time to effective mitigation provides a new method to reduce the impacts of harmful products., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Vasanti S. Malik has received payment by the City and County of San Francisco for expert testimony in litigation related to health warning labels on sugar sweetened beverages. The other authors have declared that no competing interests exist., (Copyright: © 2024 Rimányi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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10. Financial inclusion and improved water usage among households in Ghana.
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Immurana M, Kisseih KG, Ziblilla YM, Kizhakkekara TJM, Boachie MK, Halidu BO, Mohammed J, Kaleem I, Mohammed A, and Doegah PT
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- Ghana, Humans, Drinking Water, Female, Socioeconomic Factors, Sanitation standards, Family Characteristics, Water Supply standards
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Background: In Ghana, about 76% of households are at risk of drinking water polluted with faecal matter, hence, poor sanitation and unsafe water are responsible for 80% of all diseases in the country. Given this, some studies have been carried out concerning the factors that determine access and use of improved water among households in Ghana. However, although financial inclusion can make it easy for households to afford and hence, use improved water, it has received very little attention. This study, thus, examines the effect of financial inclusion on the use of improved water among households in Ghana., Methods: The Ghana Living Standards Survey round 7 (GLSS7) is used as the data source while the binary logit regression is employed as the main empirical estimation technique., Results: The results show that households with financial inclusion (employing an indicator which has not been disaggregated into formal and informal financial inclusion) have a higher likelihood of using improved water sources relative to those without financial inclusion. The results are robust using formal financial inclusion as well as a combined index of financial inclusion., Conclusion: Enhancing financial inclusion, especially formal financial inclusion can be utilised as a major policy instrument towards increasing access and use of improved water sources among households in Ghana., (© 2024. The Author(s).)
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- 2024
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11. The effects of selected neglected tropical diseases on economic performance at the macrolevel in Africa.
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Immurana M, Kisseih KG, Abdullahi I, Azuug M, Manyeh AK, Mohammed A, and Kizhakkekara TJM
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- Humans, Africa epidemiology, Schistosomiasis epidemiology, Schistosomiasis economics, Leprosy epidemiology, Leprosy economics, Prevalence, Onchocerciasis epidemiology, Onchocerciasis economics, Gross Domestic Product, Elephantiasis, Filarial epidemiology, Elephantiasis, Filarial economics, Neglected Diseases epidemiology, Neglected Diseases economics, Tropical Medicine economics
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Background: Neglected tropical diseases (NTDs) such as leprosy, lymphatic filariasis (LF), schistosomiasis and onchocerciasis are endemic in several African countries. These diseases can lead to severe pain and permanent disability, which can negatively affect the economic productivity of the affected person(s), and hence resulting into low economic performance at the macrolevel. Nonetheless, empirical evidence of the effects of these NTDs on economic performance at the macrolevel is sparse. This study therefore investigates the effects of the above-mentioned NTDs on economic performance at the macrolevel in Africa., Methods: The study employs a panel design with data comprising 24 to 45 African countries depending on the NTD in question, over the period, 2002 to 2019. Gross domestic product (GDP) is used as the proxy for economic performance (Dependent variable) and the prevalence of the above-mentioned NTDs are used as the main independent variables. The random effects (RE), fixed effects (FE) and the instrumental variable fixed effects (IVFE) panel data regressions are used as estimation techniques., Results: We find that, an increase in the prevalence of the selected NTDs is associated with a fall in economic performance in the selected African countries, irrespective of the estimation technique used. Specifically, using the IVFE regression estimates, we find that a percentage increase in the prevalence of leprosy, LF, schistosomiasis and onchocerciasis is associated with a reduction in economic performance by 0.43%, 0.24%, 0.28% and 0.36% respectively, at either 1% or 5% level of significance., Conclusion: The findings highlight the need to increase attention and bolster integrated efforts or measures towards tackling these diseases in order to curb their deleterious effects on economic performance. Such measures can include effective mass drug administration (MDA), enhancing access to basic drinking water and sanitation among others., (© 2024. The Author(s).)
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- 2024
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12. Malaria Prevalence and Macroeconomic Output in Ghana, 1990 to 2019.
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Immurana M, Klu D, Aberese-Ako M, and Abdullahi I
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- Humans, Ghana epidemiology, Prevalence, Female, Male, Gross Domestic Product statistics & numerical data, Sex Factors, Malaria epidemiology
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In Ghana, malaria remains the number 1 reason for outpatient department visits, making it a major public health problem. Thus, there could be significant lost productivity days as a result of malaria morbidity and mortality, which could negatively affect economic output at the macrolevel. Nonetheless, there is a dearth of empirical evidence of the effect of malaria on macroeconomic output in Ghana. This study therefore aims to provide the foremost empirical evidence regarding the effect of malaria prevalence on macroeconomic output in Ghana using a time series design with data spanning the period 1990 to 2019. Gross Domestic Product (GDP), serving as a proxy for macroeconomic output, is the dependent variable, while the prevalence of malaria (overall, among only males and among only females) serves as the main independent variable. The Ordinary Least Square (OLS) regression is used as the baseline estimation technique and the Instrumental Variable Two-Stage Least Square (IV2SLS) regression is employed as the robustness check estimator due to its ability to deal with endogeneity. The IV2SLS regression results show that a percentage increase in the overall prevalence of malaria is associated with a 1.16% decrease in macroeconomic output at 1% significance level. We also find that the effect of malaria in males on macroeconomic output is slightly higher relative to females. The findings from the OLS regression are not qualitatively different from the IV2SLS regression estimates. There is therefore the need to strengthen efforts such as quality case management, larval source management, mass distribution of long-lasting insecticide-treated bed nets, social behavior change, surveillance (both epidemiological and entomological), intermittent preventive treatment of malaria in pregnancy, research among others, which are important toward eliminating malaria., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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- 2024
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13. An Ethnographic Study of Multiple Factors Influencing Perceptions, Attitudes, and Observance of COVID-19 Preventive Measures among Rural and Urban Slum Dwellers in Ghana.
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Aberese-Ako M, Immurana M, Dalaba MA, Anumu FEY, Ofosu A, and Gyapong M
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- Humans, Ghana epidemiology, Rural Population, Pandemics prevention & control, Attitude, Anthropology, Cultural, Poverty Areas, COVID-19 epidemiology, COVID-19 prevention & control
- Abstract
Background: The COVID-19 pandemic and government-led interventions to tackle it have had life-changing effects on vulnerable populations, especially rural and urban slum dwellers in developing countries. This ethnographic study explored how the Ghanaian government's management of COVID-19, socio-cultural factors, infrastructural challenges, and poverty influenced community perceptions, attitudes, and observance of COVID-19 prevention measures in Ghana., Methods: The study employed focused ethnography using in-depth interviews (IDIs), focus group discussions (FGDs), and nonparticipant observations to collect data from an urban slum and a rural community as well as from government officials, from October 2020 to January 2021. The data were triangulated and analyzed thematically with the support of qualitative software NVivo 12. All ethical procedures were followed., Results: The Ghanaian government's strategy of communicating COVID-19-related information to the public, health-related factors such as health facilities failing to follow standard procedures in testing and tracing persons who came into contact with COVID-19-positive cases, poverty, and lack of social amenities contributed to the poor observance of COVID-19 preventive measures. In addition, the government's relaxation of COVID-19 restrictions, community and family values, beliefs, and misconceptions contributed to the poor observance of COVID-19 preventive measures. Nevertheless, some aspects of the government's intervention measures and support to communities with COVID-19 prevention items, support from nongovernmental organizations (NGOs), and high knowledge of COVID-19 and its devastating effects contributed to positive attitudes and observance of COVID-19 preventive measures., Conclusion: There is a need for the government to use the existing community structures to engage vulnerable communities so that their concerns are factored into interventions to ensure that appropriate interventions are designed to suit the context. Moreover, the government needs to invest in social amenities in deprived communities. Finally, the government has to be consistent with the information it shares with the public to enhance trust relations., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2023 Matilda Aberese-Ako et al.)
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- 2023
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14. The Choice of Healthy Source of Energy for Cooking Among Households in Ghana: Does Financial Inclusion Matter?
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Immurana M, Kisseih KG, Ayesu EK, Mohammed A, Ziblilla YM, Kk TJM, Boachie MK, and Halidu BO
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Air pollution resulting from the use of unhealthy/unclean energy sources for cooking causes illnesses such as lung cancer, stroke, chronic obstructive pulmonary disease and ischaemic heart disease. In Ghana, each year, about 18 000 deaths are recorded due to the use of unhealthy energy sources for cooking. While financial inclusion can influence the adoption of healthy energy sources for cooking, less attention has been paid to it. This study, therefore, investigates the effect of financial inclusion on the choice of healthy source of energy for cooking among households in Ghana. Doing so reveals whether financial inclusion can be employed as a tool to decrease the use of unhealthy sources of energy for cooking in Ghana. We employ the Ghana Living Standards Survey round 7 (GLSS7) as the data source for the study whiles the binary logistic regression is used as the estimation technique. The findings show that, households with financial inclusion (using a single indicator) are more likely to choose healthy sources of energy for cooking relative to those without financial inclusion (OR = 2.52, P < .01). Moreover, the effect of financial inclusion (using a single indicator) on choosing a healthy source of energy for cooking is greater among rural households (OR = 3.18, P < .01) relative to their urban counterparts (OR = 2.27, P < .01). The findings are robust even after using a different estimation technique and a combined index of financial inclusion. Thus, in the quest to improve the use of healthy sources of energy for cooking, enhancing financial inclusion among households, could be a useful strategy., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2023.)
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- 2023
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15. Estimating the healthcare cost of overweight and obesity in South Africa.
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Boachie MK, Thsehla E, Immurana M, Kohli-Lynch C, and Hofman KJ
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- Cost of Illness, Health Care Costs, Humans, Obesity epidemiology, South Africa epidemiology, Noncommunicable Diseases, Overweight epidemiology
- Abstract
Background: Overweight and obesity are major risk factors for noncommunicable diseases. This presents a major burden to health systems and to society in South Africa. Collectively, these conditions are overwhelming public healthcare. This is happening when the country has embarked on a journey to universal health coverage, hence the need to estimate the cost of overweight and obesity., Objective: Our objective was to estimate the healthcare cost associated with treatment of weight-related conditions from the perspective of the South African public sector payer., Methods: Using a bottom-up gross costing approach, this study draws data from multiple sources to estimate the direct healthcare cost of overweight and obesity in South Africa. Population Attributable Fractions (PAF) were calculated and multiplied by each disease's total treatment cost to apportion costs to overweight and obesity. Annual costs were estimated for 2020., Results: The total cost of overweight and obesity is estimated to be ZAR33,194 million in 2020. This represents 15.38% of government health expenditure and is equivalent to 0.67% of GDP. Annual per person cost of overweight and obesity is ZAR2,769. The overweight and obesity cost is disaggregated as follows: cancers (ZAR352 million), cardiovascular diseases (ZAR8,874 million), diabetes (ZAR19,861 million), musculoskeletal disorders (ZAR3,353 million), respiratory diseases (ZAR360 million) and digestive diseases (ZAR395 million). Sensitivity analyses show that the total overweight and obesity cost is between ZAR30,369 million and ZAR36,207 million., Conclusion: This analysis has demonstrated that overweight and obesity impose a huge financial burden on the public health care system in South Africa. It suggests an urgent need for preventive, population-level interventions to reduce overweight and obesity rates. The reduction will lower the incidence, prevalence, and healthcare spending on noncommunicable diseases.
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- 2022
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16. Socioeconomic Determinants of Willingness to Pay for Emergency Public Dental Services in Saudi Arabia: A Contingent Valuation Approach.
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Hawsawi HS, Immurana M, and Al-Hanawi MK
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- Adult, Humans, Saudi Arabia, Cross-Sectional Studies, Socioeconomic Factors, Financing, Personal, Dental Care
- Abstract
Dental diseases remain major health problems worldwide, leading to pain, discomfort, and even death. In Saudi Arabia, public dental care services (i.e., services provided by government-owned health facilities) are provided free of charge for all Saudi citizens. However, public dental care facilities are overburdened and overcrowded, resulting in long waiting times to access dental care services. The consequent limited access to dental services can prolong discomfort and delay pain management, thereby exacerbating the suffering of patients. Therefore, the aim of this study was to examine the socioeconomic determinants of the willingness to pay for immediate public dental care in the face of a dental emergency in Saudi Arabia. A cross-sectional design was employed to obtain data from adult citizens of Saudi Arabia who were residents of the Holy City of Makkah. A pre-tested online questionnaire was used to obtain the responses from 549 individuals, selected through a snowball sampling technique, from 15 July to 10 August 2021. Descriptive statistics (frequencies and percentages), Pearson's chi-square test, and binary probit regression were used as estimation techniques. The findings showed that 79.4% of the respondents were willing to pay for immediate public dental services, with the majority (86%) expressing a willingness to pay less than 500 Saudi Riyal (SAR). The binary probit regression estimates showed that respondents who were unemployed, those with a high school level of education or below, and those without private health insurance were less likely to be willing to pay for immediate public dental services. Thus, policies and initiatives aimed at enhancing the willingness to pay for immediate public dental services should target the unemployed, those with a high school level of education or below, and people without private health insurance., Competing Interests: The authors declare no conflict of interest.
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- 2022
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17. Effect of cigarette prices on cigarette consumption in Ghana.
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Boachie MK, Ayifah RNY, Immurana M, Agyemang JK, Singh A, and Ross H
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Introduction: Noncommunicable diseases are on the rise globally, with tobacco consumption being a major risk factor. Reducing tobacco consumption is an important step towards reducing the incidence and prevalence of many noncommunicable diseases. Tax and price measures have been proposed as tobacco control tools. This study investigated the link between cigarette prices and cigarette consumption in Ghana., Methods: Annual time series data for the period 1980-2016 were used. The data came from diverse sources, including WHO, World Bank, and tobacco industry documents. Dynamic Ordinary Least Squares (DOLS), cointegration techniques, and three-stage least squares (3SLS) were used to analyze the data., Results: After controlling for education, income, and population growth, we estimated that the price elasticity of cigarette demand is between -0.35 and -0.52 and statistically significant at 1% level. In the short run, the price elasticity is -0.1. Another variable that significantly reduced cigarette consumption during the period was education, with an elasticity between -1.7 and -2.7., Conclusion: Cigarette demand in Ghana is influenced by cigarette prices and education. We conclude that tobacco taxes that significantly raise retail prices of cigarettes and higher education (including health education) will help reduce cigarette consumption., Competing Interests: The authors declare that they have no conflict of interest., (© 2022 The Author(s). Published by Elsevier B.V.)
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- 2022
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18. Health sector funding in Ghana: The effect of IMF conditionalities.
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Boachie MK, Agyemang J, and Immurana M
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Purpose: This paper examines the factors influencing government health spending in Ghana with a particular focus on IMF conditionalities., Design/methodology/approach: We estimate four simultaneous equations using three-stage least squares (3SLS) estimator. The data used cover the period 1980-2014., Findings: After controlling for some other factors affecting government health spending, the results show that democracy and foreign aid significantly increase public sector health funding. IMF programs with its associated conditionalities insignificantly reduce public health spending Ghana., Originality/value: This study provides important evidence on the impact of IMF conditionalities on health sector funding in Ghana. The results will serve as guide to policymakers when negotiating for IMF credit so that such arrangements do not obstruct health sector funding., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Micheal K. Boachie reports financial support was provided by South African Medical Research Council, (© 2022 The Authors.)
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- 2022
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19. Cost of childbirth in Upper West Region of Ghana: a cross-sectional study.
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Dalaba MA, Welaga P, Immurana M, Ayanore M, Ane J, Danchaka LL, and Matsubara C
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- Cross-Sectional Studies, Delivery, Obstetric, Female, Ghana, Humans, Pregnancy, Health Expenditures, National Health Programs
- Abstract
Background: Out-of-pocket payment (OOPP) is reported to be a major barrier to seeking maternal health care especially among the poor and can expose households to a risk of catastrophic expenditure and impoverishment.This study examined the OOPPs women made during childbirth in the Upper West region of Ghana., Methods: We carried out a cross-sectional study and interviewed women who gave birth between January 2013 and December 2017. Data on socio-demographic characteristics, place of childbirth, as well as direct cost (medical and non-medical) were collected from respondents. The costs of childbirth were estimated from the patient perspective. Logistics regression was used to assess the factors associated with catastrophic payments cost. All analyses were done using STATA 16.0., Results: Out of the 574 women interviewed, about 71% (406/574) reported OOPPs on their childbirth. The overall average direct medical and non-medical expenditure women made on childbirth was USD 7.5. Cost of drugs (USD 8.0) and informal payments (UDD 5.7) were the main cost drivers for medical and non-medical costs respectively. Women who were enrolled into the National Health Insurance Scheme (NHIS) spent a little less (USD 7.5) than the uninsured women (USD 7.9). Also, household childbirth expenditure increased from primary health facilities level (community-based health planning and services compound = USD7.2; health centre = USD 6.0) to secondary health facilities level (hospital = USD11.0); while home childbirth was USD 4.8. Overall, at a 10% threshold, 21% of the respondents incurred catastrophic health expenditure. Regression analysis showed that place of childbirth and household wealth were statistically significant factors associated with catastrophic payment., Conclusions: The costs of childbirth were considerably high with a fifth of households spending more than one-tenth of their monthly income on childbirth and therefore faced the risk of catastrophic payments and impoverishment. Given the positive effect of NHIS on cost of childbirth, there is a need to intensify efforts to improve enrolment to reduce direct medical costs as well as sensitization and monitoring to reduce informal payment. Also, the identified factors that influence cost of childbirth should be considered in strategies to reduce cost of childbirth., (© 2022. The Author(s).)
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- 2022
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20. The socio-economic and health effects of COVID-19 among rural and urban-slum dwellers in Ghana: A mixed methods approach.
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Aberese-Ako M, Immurana M, Dalaba MA, Anumu FEY, Ofosu A, and Gyapong M
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- Adolescent, Ghana epidemiology, Humans, Male, Rural Population, Socioeconomic Factors, Urban Population, COVID-19 epidemiology, Poverty Areas
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Background: Vulnerable populations such as rural and urban-slum dwellers are more likely to suffer greatly from the deleterious effects of the novel Coronavirus disease 2019 (COVID-19). However, in Ghana, most COVID-19 mitigating packages are not focused on vulnerable populations., Methods: Concurrent mixed methods design was used to examine the socio-economic and health effects of COVID-19 among rural and urban-slum dwellers in Ghana. Four hundred respondents were sampled for the quantitative arm of the study, while 46 In-depth Interviews (IDIs) were conducted with community members and government officials. Sixty-four community members participated in Focus Group Discussions (FGDs) and non-participant observation was carried out for three months. Quantitative data were analysed using frequencies, percentages, Pearson Chi2 and ordered logistic regression. Interviews were recorded using digital recorders and later transcribed. Transcribed data (IDIs, FGDs) and observation notes were uploaded onto a computer and transferred to qualitative software NVivo 12 to support thematic coding and analysis., Results: Majority of the respondents confirmed the deleterious socio-economic and health effects of COVID-19 on jobs and prices of food. Other effects were fear of visiting a health facility even when unwell, depression and anxiety. Young people (18-32 years), males, urban-slum dwellers, married individuals, the employed and low-income earners (those who earn GHC10/$1.7 to GHC100/ $17), were more likely to suffer from the socio-economic and health effects of COVID-19. Urban-slum dwellers coped by relying on family and social networks for food and other basic necessities, while rural dwellers created locally appropriate washing aids to facilitate hand washing in the rural communities., Conclusion: COVID-19 and the government's mitigation measures had negative socio-economic and health effects on vulnerable communities. While vulnerable populations should be targeted for the government's COVID-19 mitigating packages, special attention should be given to young people (18-32 years), males, urban-slum dwellers, married individuals and low-income earners. Communities should be encouraged to maintain coping strategies adopted even after COVID-19., Competing Interests: The authors have declared that no competing interests exist.
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- 2022
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21. Financing COVID-19 vaccination in sub-Saharan Africa: lessons from a nation-wide willingness to pay (WTP) survey in Ghana.
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Alhassan RK, Nketiah-Amponsah E, Immurana M, and Abuosi AA
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- Adult, Cross-Sectional Studies, Ghana, Humans, Male, Pandemics prevention & control, Surveys and Questionnaires, Vaccination, COVID-19 prevention & control, COVID-19 Vaccines
- Abstract
Background: Over 13 million doses of the corona virus disease, 2019 (COVID-19) vaccines have been administered in Ghana as at March, 2022; 28.5% of the population have received one dose while 16.3% have been fully vaccinated. Cost associated with COVID-19 vaccinations in low- and middle-income countries (LMICs) requires rethinking on sustainable funding arrangements to consolidate gains made towards containing the COVID-19 pandemic., Objective: Ascertain the determinants of willingness to pay (WTP) for COVID-19 vaccination among adult eligible population in Ghana, and prefer evidence-based policy recommendations on sustainable financing regime for COVID-19 vaccination in the global south., Methods: Setting/design: A cross-sectional web-based survey was conducted among adult population aged 18 years and above across the sixteen (16) administrative regions of Ghana., Participants: A sub-sample of 697 participants willing to receive the COVID-19 vaccine was used as the unit of analysis., Outcome Measures: main outcome measures of interests were willingness to pay for COVID-19 vaccination and the specific amount respondents were willing to pay. The odds of WTP and specific amount were predicted using the step-wise backward logistic regression and backward step-wise OLS, respectively., Results: A total of 2,107 adult respondents aged 18 years and above were reached out to answer the questionnaire; 1,556 successfully completed the questionnaire, representing 74% response rate. Out of the 1,556 valid responses, 697 said they will receive the COVID-19 vaccine. Out of the 697 sub-sample willing to accept the vaccine, 386 (55%) were willing to pay an average of US$6.00 for the vaccine. Positive predictors of WTP were: being an educated male (OR = 0.55, 95% [CI = 0.366, 0.826], p = 0.004), married and educated (OR = 2.19, 95% [CI = 1.077, 4.445], p = 0.030), being a married health worker (OR = 0.43, 95% [CI = 0.217, 0.845], p = 0.015), and having positive perception of the vaccine (OR = 2.40, 95% [CI = 1.144, 5.054], p = 0.021). High WTP amounts correlated positively with adherence to COVID-19 prevention protocols (Coef. = 10.30, 95% [CI = 0.463, 20.137], p = 0.040) and being a health worker with tertiary education (Coef. = 56.339, 95% [CI = 8.524, 104.154], p = 0.021). Christians who are also health workers by occupation were less likely to pay higher amounts for the vaccine (Coef. = -71.431, 95% [CI = 118.821, -24.040], p = 0.003)., Conclusions: WTP for COVID-19 vaccination in Ghana is low relative to comparative studies in the sub-region. There is the need for accelerated, advocacy and public education on the benefits of vaccination. Likewise, there should be broader stakeholder engagement and national dialogue on sustainable financing options for COVID-19 vaccination as donor support continues to dwindle for LIMCs like Ghana., (© 2022. The Author(s).)
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- 2022
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22. Financial inclusion and households' choice of solid waste disposal in Ghana.
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Immurana M, Kisseih KG, Yakubu MZ, and Yusif HM
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- Family Characteristics, Ghana, Humans, Solid Waste, Refuse Disposal methods, Waste Management methods
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Background: As the amount of solid waste generated by households in Ghana continues to grow, policy makers are preoccupied with finding better means of managing these solid wastes. To this end, a number of studies have been conducted on the factors that determine the choice of solid waste disposal method among households in Ghana. Notwithstanding, while financial inclusion is deemed as an effective tool for improved solid waste management, none of these studies paid attention to it. This study therefore, investigates the effect of financial inclusion on the choice of solid waste disposal method among households in Ghana., Methods: The study uses data from the Ghana Living Standards Survey round 7 (GLSS7). The multinomial probit regression is used as the empirical estimation technique., Results: Our results show that financial inclusion increases the likelihood of households opting for the collection method of solid waste disposal relative to burning, public dumping and indiscriminate disposal of solid waste., Conclusion: Financial inclusion enables households to opt for a healthy solid waste disposal method (collection method), hence, in policy makers' attempts to improve solid waste disposal, paying attention to financial inclusion can be a very useful strategy., (© 2022. The Author(s).)
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- 2022
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23. Determinants of willingness to accept child vaccination against malaria in Ghana.
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Immurana M, Boachie MK, Klu D, Dalaba MA, Manyeh AK, and Alhassan RK
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- Child, Family Characteristics, Ghana, Humans, Male, Vaccination, Malaria prevention & control, Malaria Vaccines
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Background: Malaria is a public health problem in Ghana with children being one of the most vulnerable. Given this, in 2019, Ghana decided to add the first malaria vaccine (RTS, S) as part of routine immunisations for children in the near future. This study, thus, examines the determinants of malaria vaccine awareness and willingness to uptake the vaccine for children in Ghana., Method: The study uses data from the 2019 Ghana Malaria Indicator Survey while employing the binary logistic regression as the empirical estimation technique., Results: The study finds that religion, region of residence and awareness of the malaria vaccine, influence the willingness to uptake the vaccine for children. Moreover, younger mothers (15-26 years), households in the richest wealth quintile, male-headed households and the number of children aged five years and below in a household, are found to be associated with less willingness to uptake the vaccine for children., Conclusion: Paying attention to awareness creation, region, religion, younger mothers (15-26 years), households in the richest wealth quintile, male-headed households and households with more children aged five years and below, can ensure optimal uptake of the malaria vaccine for children in Ghana., (© 2022 John Wiley & Sons Ltd.)
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- 2022
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24. Mixed effect analysis of factors influencing the use of insecticides treated bed nets among pregnant women in Ghana: evidence from the 2019 Malaria Indicator Survey.
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Klu D, Aberese-Ako M, Manyeh AK, Immurana M, Doegah P, Dalaba M, Acquah E, Alhassan RK, and Ansah EK
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- Adolescent, Adult, Aged, Cross-Sectional Studies, Female, Ghana, Humans, Male, Middle Aged, Pregnancy, Pregnant Women, Young Adult, Insecticides, Malaria epidemiology, Malaria prevention & control
- Abstract
Background: Malaria during pregnancy is a major cause of maternal morbidity globally and leads to poor birth outcomes. The World Health Organization has recommended the use of insecticide treated bed nets (ITN) as one of the effective malaria preventive strategies among pregnant women in malaria endemic areas. This study, therefore, seeks to examine the individual and household factors associated with the use of ITNs among pregnant women in Ghana., Methods: Data for this study was obtained from the 2019 Ghana Malaria Indicator Survey (GMIS) conducted between September 25 and November 24, 2019. The weighted sample comprised 353 pregnant women aged 15-49 years. Data was analyzed with SPSS version 22 using both descriptive and multilevel logistics regression modelling. Statistically significant level was set at p < 0.05., Results: The study found that 49.2% of pregnant women in Ghana use ITN to prevent malaria. Pregnant women aged 35-49 years (AOR = 3.403, CI: 1.191-9.725), those with no formal education (AOR = 5.585, CI = 1.315-23.716), and those who had secondary education (AOR = 3.509, CI = 1.076-11.440) had higher odds of using ITN. Similarly, higher odds of ITN usage was found among who belonged to the Akan ethnic group (AOR = 7.234, CI = 1.497-34.955), dwell in male-headed households (AOR = 2.232, CI = 1.105-4.508) and those whose household heads are aged 60-69 years (AOR = 4.303, CI = 1.160-15.966). However, pregnant women who resided in urban areas (AOR = 0.355, CI = 0.216-0.582), those whose household heads aged 40-49 years (AOR = 0.175, CI = 0.066-0.467) and those who belonged to richer (AOR =0.184, CI = 0.050-0.679) and richest (AOR = 0.107, CI = 0.021-0.552) households had lower odds of using ITN for malaria prevention., Conclusions: Individual socio-demographic and household factors such as pregnant women's age, educational level, place of residence, ethnicity, sex and age of household head, and household wealth quintile are associated with the use of ITN for malaria prevention among pregnant women. These factors ought to be considered in strengthening malaria prevention campaigns and develop new interventions to help increase ITN utilization among vulnerable population living in malaria- endemic areas., (© 2022. The Author(s).)
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- 2022
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25. Effect of relative income price on smoking initiation among adolescents in Ghana: evidence from pseudo-longitudinal data.
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Boachie MK, Immurana M, Tingum EN, Mdege ND, and Ross H
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- Adolescent, Female, Ghana epidemiology, Humans, Income, Male, Smoking epidemiology, Taxes, Commerce, Tobacco Products
- Abstract
Objective: Many smokers initiate smoking during adolescence. Making tobacco products less affordable is one of the best ways to control tobacco use. Studies on the effect of relative income price (RIP (ie, affordability)) of cigarettes on smoking initiation are scarce in low-income and middle-income countries, especially in Sub-Saharan Africa where data are limited. The goal of this study is to examine the effect of cigarette RIP on adolescent smoking initiation in Ghana., Setting: The study uses a pseudo-longitudinal data set constructed from the Global Youth Tobacco Surveys (GYTS (2000-2009 and 2017)) and RIP for the most sold cigarette brand in Ghana., Participants: The GYTS is a national survey on adolescents., Primary and Secondary Outcome: Effect of RIP on adolescent smoking initiation in Ghana., Results: Using the GYTS 2000-2009 data, we find that the probability of smoking initiation falls significantly in response to a higher RIP, with an elasticity of -0.372 (95% CI -0.701 to -0.042) for the unmatched sample and -0.490 (95% CI -0.818 to -0.161) for the matched sample. The RIP elasticity for women ((-0.888) (95% CI -1.384 to -0.392) and (-0.928) (95% CI -1.434 to -0.422)) is statistically significant at 1% in both the unmatched and the matched samples, respectively, while the RIP elasticity for men is statistically insignificant in the 2000-2009 surveys. Analysis of the 2017 GYTS shows a similar outcome: a negative relationship between RIP and smoking initiation, and the results are statistically significant for both men and women, and for both matched and unmatched samples., Conclusion: The affordability (RIP) of cigarettes is negatively related to the probability of smoking initiation among adolescents in Ghana. Raising tobacco taxes in line with income growth would make cigarettes less affordable and dissuade adolescents from initiating smoking., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.)
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- 2022
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26. The effect of financial inclusion on open defecation and sharing of toilet facilities among households in Ghana.
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Immurana M, Kisseih KG, Yusif HM, and Yakubu ZM
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- Ghana, Humans, Rural Population, Sanitation economics, Sanitation methods, Sanitation standards, Defecation, Family Characteristics, Toilet Facilities economics, Toilet Facilities standards
- Abstract
Globally, and in Ghana, a lot of people do practice open defecation as well as share toilet facilities with other households. Meanwhile, open defecation in particular, is associated with numerous negative health and economic effects. To this end, a number of empirical studies have been conducted on the determinants of access to sanitation facilities among households in Ghana. Nonetheless, while financial inclusion (sustainable ways of ensuring easier accessibility to cheap and useful financial products and services among individuals/firms) can enhance the ability of households or individuals to afford toilet facilities, hence, could help in curbing open defecation and sharing of toilet facilities among households, the previous studies on Ghana did not pay attention to it. This study therefore uses data from the 7th round of the Ghana Living Standards Survey (GLSS7) to examine the association of financial inclusion with open defecation and sharing of toilet facilities among households in Ghana. The binary logit regression is used as the empirical estimation technique. The results show that, financial inclusion in general is associated with lesser likelihood of open defecation and sharing of toilet facilities among households in Ghana after controlling for welfare quintile, urban or rural residence and other covariates. Moreover, while informal financial inclusion is statistically insignificant, formal financial inclusion is found to be associated with reduced open defecation and sharing of toilet facilities among households. Thus, in the attempt to eliminate open defecation as well as reduce the sharing of toilet facilities among households in Ghana, conscious efforts should be devoted towards enhancing formal financial inclusion., Competing Interests: The authors have declared that no competing interests exist.
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- 2022
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27. Cigarette Prices and Smoking Experimentation in Sierra Leone: An Exploratory Study.
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Boachie MK, Immurana M, Agyemang JK, and Ross H
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This study examines the effect of cigarette prices on the likelihood of experimental smoking among adolescents in Sierra Leone. The study links data from the 2017 Global Youth Tobacco Survey (GYTS) to price data covering 2008-2017 obtained from the World Health Organization (WHO). After employing duration analysis techniques, we find that increases in cigarette prices are associated with a lower probability of smoking experimentation, with an estimated price elasticity of -1.63 (CI: -.24 to -3.02). Other factors affecting an adolescent's decision to experiment with smoking are parental and friends' smoking status, gender, exposure to tobacco advertising, and income. We conclude that higher prices, through excise taxation, are important tools for controlling smoking uptake among the youth of Sierra Leone., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2022.)
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- 2022
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28. COVID-19 vaccine hesitancy among the adult population in Ghana: evidence from a pre-vaccination rollout survey.
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Alhassan RK, Aberese-Ako M, Doegah PT, Immurana M, Dalaba MA, Manyeh AK, Klu D, Acquah E, Ansah EK, and Gyapong M
- Abstract
Background: Coronavirus disease 2019 (COVID-19) has already claimed over four million lives globally and over 800 deaths in Ghana. The COVID-19 vaccine is a key intervention towards containing the pandemic. Over three billion doses of the vaccine have already been administered globally and over 800,000 doses administered in Ghana, representing less than 5% vaccination coverage. Fear, uncertainty, conspiracy theories and safety concerns remain important threats to, a successful rollout of the vaccine if not managed well., Objective: Ascertain the predictors of citizens' probability of participating in a COVID-19 vaccine trial and subsequently accept the vaccine when given the opportunity., Methodology: The study was an online nation-wide survey among community members (n = 1556) from 18th September to 23rd October, 2020 in the 16 regions in Ghana. Binary probit regression analysis with marginal effect estimations was employed to ascertain the predictors of community members' willingness to participate in a COVID-19 vaccine trial and uptake the vaccine., Results: Approximately 60% of respondents said they will not participate in a COVID-19 vaccine trial; 65% will take the vaccine, while 69% will recommend it to others. Willingness to voluntarily participate in COVID-19 vaccine trial, uptake the vaccine and advise others to do same was higher among adults aged 18-48 years, the unmarried and males (p < 0.05). Significant predictors of unwillingness to participate in the COVID-19 vaccine trial and uptake of the vaccine are: married persons, females, Muslims, older persons, residents of less urbanised regions and persons with lower or no formal education (p < 0.05). Predominant reasons cited for unwillingness to participate in a COVID-19 vaccine trial and take the vaccine included fear, safety concerns, lack of trust in state institutions, uncertainty, political connotations, spiritual and religious beliefs., Conclusion: The probability of accepting COVID-19 vaccine among the adult population in Ghana is high but the country should not get complacent because fear, safety and mistrust are important concerns that have the potential to entrench vaccine hesitancy. COVID-19 vaccine rollout campaigns should be targeted and cognisant of the key predictors of citizens' perceptions of the vaccine. These lessons when considered will promote Ghana's efforts towards vaccinating at least 20 million people to attain herd immunity., (© 2021. The Author(s).)
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- 2021
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29. Effects of foreign direct investment and trade on the prevalence of tobacco consumption in Africa: a panel study.
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Immurana M, Boachie MK, and Kisseih KG
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- Economic Development, Humans, Investments, Prevalence, Tobacco Use epidemiology, Commerce, Internationality
- Abstract
Background: As African governments take measures to enhance international trade and Foreign Direct Investment (FDI) inflows, a major concern is that, these measures can make Africa more vulnerable to the strategies of the tobacco industry. This concern is based on the fact that, each year, tobacco use is estimated to be responsible for the deaths of over eight million people in the world. However, there is very little empirical evidence to refute or confirm the above concern, especially in the African context. This study therefore investigates the effects of FDI and trade on the prevalence of tobacco consumption in Africa., Methods: Data on a sample of 31 African countries for the period, 2010-2018 are used. The system Generalised Method of Moments (GMM) regression model is employed as the empirical estimation technique., Results: The findings show that, FDI and trade have negative and positive significant association with the prevalence of tobacco consumption respectively. These findings are robust even after using different specifications and indicators of FDI and trade., Conclusion: Rising trade (and not FDI) should be of concern to African governments in the quest to reduce the prevalence of tobacco consumption on the continent., (© 2021. The Author(s).)
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- 2021
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30. Health-seeking behaviour and cost of fever treatment to households in a malaria-endemic setting of northern Ghana: a cross-sectional study.
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Dalaba MA, Welaga P, Dalinjong PA, Chatio S, Immurana M, Alhassan RK, Klu D, Manyeh AK, Agorinya I, Oduro A, Adongo PB, and Akweongo P
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- Cross-Sectional Studies, Ghana epidemiology, Humans, Patient Acceptance of Health Care, Antimalarials therapeutic use, Malaria drug therapy, Malaria epidemiology
- Abstract
Objectives: To examine the health-seeking behaviour and cost of fever treatment to households in Ghana., Design: Cross-sectional household survey conducted between July and September 2015., Setting: Kassena-Nankana East and West districts in Upper East region of Ghana., Participants: Individuals with an episode of fever in the 2 weeks preceding a visit during routine health and demographic surveillance system data collection were selected for the study. Sociodemographic characteristics, treatment-seeking behaviours and cost of treatment of fever were obtained from the respondents., Results: Out of 1845 households visited, 21% (393 of 1845) reported an episode of fever. About 50% (195 of 393) of the fever cases had blood sample taken for testing by microscopy or Rapid Diagnostic Test, and 73.3% (143 of 195) were confirmed to have malaria. Of the 393 people with fever, 70% (271 of 393) reported taking an antimalarial and 24.0% (65 of 271) took antimalarial within 24 hours of the onset of illness. About 54% (145 of 271) of the antimalarials were obtained from health facilities.The average cost (direct and indirect) incurred by households per fever treatment was GH¢27.8/US$7.3 (range: GH¢0.2/US$0.1-GH¢200/US$52.6). This cost is 4.6 times the daily minimum wage of unskilled paid jobs of Ghanaians (US$1.6). The average cost incurred by those enrolled into the National Health Insurance Scheme (NHIS) was GH¢24.8/US$6.5, and GH¢50/US$11.6 for those not enrolled., Conclusions: Prompt treatment within 24 hours of onset of fever was low (24%) compared with the Roll Back Malaria Programme target of at least 80%. Cost of treatment was relatively high when compared with average earnings of households in Ghana and enrolment into the NHIS reduced the cost of fever treatment remarkably. It is important to improve access to malaria diagnosis, antimalarials and enrolment into the NHIS in order to improve the case management of fever/malaria and accelerate universal health coverage in Ghana., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2021
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31. Socioeconomic Determinants of Smoking in the Kingdom of Saudi Arabia.
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Qattan AMN, Boachie MK, Immurana M, and Al-Hanawi MK
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- Female, Humans, Income, Male, Prevalence, Saudi Arabia epidemiology, Socioeconomic Factors, Smoking epidemiology, Tobacco Smoking
- Abstract
Tobacco consumption, or smoking, is a major cause of preventable morbidity and mortality worldwide, including in the Kingdom of Saudi Arabia (KSA). In order to reduce the consumption of tobacco products, it is necessary to understand the factors that drive it. However, little is known about the socioeconomic determinants of tobacco smoking in the KSA. This study, therefore, investigates the socioeconomic factors that influence tobacco smoking in the KSA. Using a national health survey, the study employs logistic and negative binomial regressions to examine the socioeconomic factors associated with smoking. Moreover, the inequality concentration indices (CIs) are used to assess inequalities in smoking. The results reveal that the smoking prevalence is 14.09% of the 8813 respondents considered in this study. The prevalence of smoking is higher among men (25.34%) than among women (1.91%). On the determinants of smoking, the logistic regression results show that higher income is associated with lower likelihood of smoking. Other factors significantly associated with current smoking status are marital status, gender, age, and region of residence. Similarly, gender, age and region of residence are significantly associated with smoking intensity. As regards the inequality analysis, at the national level, the results show that smoking is concentrated among those with higher socioeconomic status (income: CI = 0.071, p < 0.01; education: CI = 0.095, p < 0.01), but with significant regional variations. By gender disaggregation, the results also show that the income-based CIs are positive for both males and females, but statistically insignificant. Education-based CI is positive for males and significant (CI = 0.057, p < 0.05), while it is negative and insignificant for females during the study period. The findings call for targeted tobacco control measures focusing on those with higher socioeconomic status, as well as factors such as age, gender, marital status and region of residence.
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- 2021
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32. The effects of tobacco taxation and pricing on the prevalence of smoking in Africa.
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Immurana M, Boachie MK, and Iddrisu AA
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- Africa epidemiology, Prevalence, Costs and Cost Analysis statistics & numerical data, Public Policy, Taxes statistics & numerical data, Nicotiana, Tobacco Smoking epidemiology
- Abstract
Background: Tobacco use continues to kill millions of people globally, making it one of the major causes of preventable deaths. Notwithstanding, there has been a very marginal fall in the prevalence of tobacco smoking in Africa. Since taxes (hence prices) are part of the main measures suggested to decrease the demand for tobacco products, this study investigates how tobacco taxation and pricing influence the prevalence of smoking in 24 African countries., Methods: Using panel data on 24 African countries sourced from the World Health Organization (WHO) and the World Bank databases for the period 2010 to 2016, this study employs the system Generalized Method of Moments (GMM) estimator to investigate the effects of tobacco taxation and pricing on the prevalence of smoking. The system GMM estimator is used due its ability to deal with potential endogeneity of tobacco taxation and pricing: the likelihood that the prevalence of smoking can influence tobacco taxation and pricing which may lead to biased estimates., Results: Tobacco taxation and pricing have negative significant effects on the prevalence of smoking among the selected countries after controlling for growth of Gross Domestic Product (GDP) per capita, urbanization, death rate and net inflows of Foreign Direct Investment (FDI). Specifically, a percentage increase in tobacco price is found to decrease the prevalence of smoking by between 0.11 to 0.14%, while a percentage increase in tobacco tax decreases the prevalence of smoking by between 0.25 to 0.36%, all at 1% level of significance., Conclusion: Since tobacco taxation and pricing are found to have negative significant effects on the prevalence of smoking, the implication is that, their use can be intensified by African policy makers towards achieving the WHO Framework Convention on Tobacco Control (FCTC) recommended targets and hence decrease the prevalence of tobacco smoking in Africa. Doing so may therefore help in achieving the Sustainable Development Goal (SDG) 3.5 (prevention and treatment of substance abuse), thereby reducing the colossal number of smoking attributable deaths.
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- 2021
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33. Urban health nexus with coronavirus disease 2019 (COVID-19) preparedness and response in Africa: Rapid scoping review of the early evidence.
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Alhassan RK, Nutor JJ, Abuosi AA, Afaya A, Mohammed SS, Dalaba MA, Immurana M, Manyeh AK, Klu D, Aberese-Ako M, Doegah PT, Acquah E, Nketiah-Amponsah E, Tampouri J, Akoriyea SK, Amuna P, Ansah EK, Gyapong M, Owusu-Agyei S, and Gyapong JO
- Abstract
Introduction: Severe acute respiratory syndrome coronavirus 2 also called coronavirus disease 2019 was first reported in the African continent on 14 February 2020 in Egypt. As at 18 December 2020, the continent reported 2,449,754 confirmed cases, 57,817 deaths and 2,073,214 recoveries. Urban cities in Africa have particularly suffered the brunt of coronavirus disease 2019 coupled with criticisms that the response strategies have largely been a 'one-size-fits-all' approach. This article reviewed early evidence on urban health nexus with coronavirus disease 2019 preparedness and response in Africa., Methods: A rapid scoping review of empirical and grey literature was done using data sources such as ScienceDirect, GoogleScholar, PubMed, HINARI and official websites of World Health Organization and Africa Centres for Disease Control and Prevention. A total of 26 full articles (empirical studies, reviews and commentaries) were synthesised and analysed qualitatively based on predefined inclusion criteria on publication relevance and quality., Results: Over 70% of the 26 articles reported on coronavirus disease 2019 response strategies across Africa; 27% of the articles reported on preparedness towards coronavirus disease 2019, while 38% reported on urbanisation nexus with coronavirus disease 2019; 40% of the publications were full-text empirical studies, while the remaining 60% were either commentaries, reviews or editorials. It was found that urban cities remain epicentres of coronavirus disease 2019 in Africa. Even though some successes have been recorded in Africa regarding coronavirus disease 2019 fight, the continent's response strategies were largely found to be a 'one-size-fits-all' approach. Consequently, adoption of 'Western elitist' mitigating measures for coronavirus disease 2019 containment resulted in excesses and spillover effects on individuals, families and economies in Africa., Conclusion: Africa needs to increase commitment to health systems strengthening through context-specific interventions and prioritisation of pandemic preparedness over response. Likewise, improved economic resilience and proper urban planning will help African countries to respond better to future public health emergencies, as coronavirus disease 2019 cases continue to surge on the continent., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2021.)
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- 2021
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