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21. Health system performance in Iran: a systematic analysis for the Global Burden of Disease Study 2019

Author

Farzadfar, Farshad, Naghavi, Mohsen, Sepanlou, Sadaf G, Saeedi Moghaddam, Sahar, Dangel, William James, Davis Weaver, Nicole, Aminorroaya, Arya, Azadnajafabad, Sina, Koolaji, Sogol, Mohammadi, Esmaeil, Rezaei, Negar, Abbas, Jaffar, Abbasi, Behzad, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdoli, Amir, Abdollahi, Mohammad, Abdollahzade, Sina, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Aghababaei, Soodabeh, Ahadinezhad, Bahman, Ahmadi, Ali, Ahmadi, Sepideh, Ahmadieh, Hamid, Akbari, Mohammad Esmaeil, Alimohamadi, Yousef, Alipour, Vahid, Alizade, Hesam, Alvand, Saba, Amini, Saeed, Amiri, Sohrab, Anoushirvani, Ali Arash, Ansari, Fereshteh, Arabloo, Jalal, Arab-Zozani, Morteza, Aryan, Zahra, Aryannejad, Armin, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Asemi, Zatollah, Asgari, Samaneh, Asgary, Saeed, Asghari, Babak, Asghari Jafarabadi, Mohammad, Ashrafi, Elham, Atafar, Zahra, Athari, Seyyed Shamsadin, Avan, Abolfazl, Azadmehr, Abbas, Azami, Hiva, Azangou-Khyavy, Mohammadreza, Azari, Samad, Azari Jafari, Amirhossein, Azarian, Ghasem, Badirzadeh, Alireza, Bahrami, Elham, Bahrami, Mohammad Amin, Barati, Nastaran, Bayati, Mohsen, Bazmandegan, Gholamreza, Behzadifar, Masoud, Bijani, Ali, Bohlouli, Somayeh, Borzouei, Shiva, Daneshpajouhnejad, Parnaz, Dargahi, Abdollah, Daryani, Ahmad, Davoodi Lahijan, Jalal, Didehdar, Mojtaba, Djalalinia, Shirin, Doaei, Saeid, Dorostkar, Fariba, Doshmangir, Leila, Edraki, Mohammadreza, Emami, Amir, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Faghani, Shahriar, Fakhar, Mahdi, Farpour, Hamid Reza, Farrokhpour, Hossein, Fasihi Harandi, Majid, Fereidouni, Mohammad, Foroutan, Masoud, Ghafourifard, Mansour, Ghamari, Azin, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Ghassemi, Fariba, Gholami, Ali, Gholamian, Asadollah, Gholizadeh, Abdolmajid, Goharinezhad, Salime, Goleij, Pouya, Hadei, Mostafa, Hafezi-Nejad, Nima, Hariri, Sanam, Hasanpoor, Edris, Hassanian-Moghaddam, Hossein, Hassanipour, Soheil, Hassankhani, Hadi, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hoseini, Mohammad, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseini, Seyed Kianoosh, Hosseinzadeh, Ali, Hosseinzadeh, Mehdi, Hoveidamanesh, Soodabeh, Iranpour, Pooya, Irvani, Seyed Sina Naghibi, Jaafari, Jalil, Jabbarinejad, Roxana, Jafarinia, Morteza, Jafari-Vayghan, Hamed, Jahani, Mohammad Ali, Jahanmehr, Nader, Jalili, Mahsa, Janghorban, Roksana, Javanmardi, Fatemeh, Joukar, Farahnaz, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamiab, Zahra, Kamyari, Naser, Karami Matin, Behzad, Karimi, Amirali, Karimi, Salah Eddin, Kazemi Karyani, Ali, Keikavoosi-Arani, Leila, Keramati, Maryam, Keshavarz, Pedram, Keykhaei, Mohammad, Khaleghi, Ali, Khammarnia, Mohammad, Khanali, Javad, Khayamzadeh, Maryam, Khosravi, Sajad, Khosravifar, Mina, Khosravizadeh, Omid, Kianipour, Neda, Kolahi, Ali-Asghar, Maali, Amirhosein, Mahdavi, Mokhtar Mahdavi, Maleki, Afshin, Malekpour, Mohammad-Reza, Mansori, Kamyar, Mansouri, Borhan, Mansournia, Mohammad Ali, Maracy, Mohammad Reza, Marjani, Abdoljalal, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Masoumi-Asl, Hossein, Mayeli, Mahsa, Mehrabi Nasab, Entezar, Mehri, Fereshteh, Miri, Mohammad, Mirmoeeni, Seyyedmohammadsadeq, Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei, Roya, Mohamadkhani, Ashraf, Mohammadi, Heidar, Mohammadi, Seyyede Momeneh, Mohammadi, Shadieh, Mohammadian-Hafshejani, Abdollah, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohseni, Mohammad, Mokari, Amin, Momtazmanesh, Sara, Moradi, Abdolvahab, Moradi, Masoud, Moradi, Yousef, Moradi-Joo, Mohammad, Moradpour, Farhad, Moradzadeh, Maliheh, Moradzadeh, Rahmatollah, Mosapour, Abbas, Moslehi, Shandiz, Mouodi, Simin, Naderi, Mehdi, Naderifar, Homa, Najafpour, Zhila, Nazari, Javad, Nejadghaderi, Seyed Aria, Nemati-Anaraki, Leila, Nikpoor, Amin Reza, Nojomi, Marzieh, Noori, Maryam, Nouraei, Hasti, Nowroozi, Ali, Oladnabi, Morteza, Pashazadeh Kan, Fatemeh, Pirestani, Majid, Pirsaheb, Meghdad, Pourahmadi, Mohammadreza, Pourchamani, Hadis, Pourjafar, Hadi, Pourshams, Akram, Rabiee, Mohammad, Rabiee, Navid, Rafiei, Alireza, Rafiei, Sima, Rahim, Fakher, Rahmani, Amir Masoud, Rashedi, Sina, Rashedi, Vahid, Rashidi, Amirfarzan, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Ravangard, Ramin, Rawassizadeh, Reza, Razeghian-Jahromi, Iman, Razeghinia, Mohammad Sadegh, Redford, Sofia B, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaei, Saeid, Rezaei Aliabadi, Hossein, Rezaeian, Mohsen, Rezai, Mohammad Sadegh, Rezapour, Aziz, Rezazadeh, Hossein, Rezazadeh-Khadem, Sahba, Rostamian, Morteza, Sadeghi, Ehsan, Sadeghi, Erfan, Sadeghi, Masoumeh, Sadeghian, Reihaneh, Sadeghian, Saeid, Safarpour, Hamid, Safdarian, Mahdi, Safi, Sare, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salahi, Sarvenaz, Salamati, Payman, Samadi Kafil, Hossein, Sarikhani, Yaser, Sarkhosh, Maryam, Sarveazad, Arash, Seyed-Nezhad, Maryam, Shafaat, Omid, Shaghaghi, Zahra, Shahabi, Saeed, Shahin, Sarvenaz, Shaker, Elaheh, Shakiba, Saeed, Shamsi, MohammadBagher, Shamsoddin, Erfan, Sharafi, Kiomars, Sharifian, Sakineh, Shaygan, Maryam, Sheikhtaheri, Abbas, Shiani, Amir, Shirbandi, Kiarash, Shirkoohi, Reza, Shobeiri, Parnian, Shokri, Azad, Siabani, Soraya, Sima, Ali Reza, Sofi-Mahmudi, Ahmad, Soheili, Amin, Soltani, Shahin, Soltani-Zangbar, Mohammad Sadegh, Soofi, Moslem, Tabaeian, Seidamir Pasha, Tabary, Mohammadreza, Tahamtan, Alireza, Taheri, Majid, Taherkhani, Amir, Tajdini, Masih, Tavolinejad, Hamed, Tehrani-Banihashemi, Arash, Tiyuri, Amir, Tohidast, Seyed Abolfazl, Vakilian, Alireza, Valadan Tahbaz, Sahel, Vo, Bay, Yahyazadeh Jabbari, Seyed Hossein, Yazdi-Feyzabadi, Vahid, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Zahir, Mazyar, Zahirian Moghadam, Telma, Zamanian, Maryam, Zandian, Hamed, Zangeneh, Alireza, Zarafshan, Hadi, Zare, Fariba, Zare Dehnavi, Ali, Zarea, Kourosh, Zarei, Ahmad, Zareshahrabadi, Zahra, Ziapour, Arash, Zoghi, Sina, Sarrafzadegan, Nizal, Rahimi-Movaghar, Vafa, Jamshidi, Hamid Reza, Mokdad, Ali H, Hay, Simon I, Murray, Christopher J L, Khosravi, Ardeshir, Moradi-Lakeh, Maziar, Asadi-Lari, Mohsen, Malekzadeh, Reza, and Larijani, Bagher

Published
2022
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24. Evaluation of tetracycline antibiotics residues in chicken tissues using the four-plate test, ELISA, and HPLC methods in Iran.

Author

Adabi, Maryam, Reza Faryabi, Mohammad, Nili-Ahmadabadi, Amir, Gharekhani, Jamal, and Mehri, Fereshteh

Subjects
ANTIBIOTIC residues, CHICKEN as food, CHICKENS, TETRACYCLINE, TETRACYCLINES
Abstract

Nowadays, various antibiotics are widely used for preventing and treating several diseases and for promoting growth in food-producing animals in different countries of the world. In this assay, edible chicken meat from local markets of Hamadan, a Province of Iran, was examined for residues of tetracycline antibiotics (tetracycline, oxytetracycline and chlortetracycline). In total, 150 samples of breast, wings and thigh tissue were randomly obtained from the local markets of the city of Hamadan. Four-plate tests (FPT), the enzyme-linked immunosorbent assay (ELISA) and high-performance liquid chromatography (HPLC) were used to analyse tetracycline antibiotic (TC) residues, respectively. Results showed that out of 150 samples, 30 samples (24.00%) and 22 samples (14.71%) of carcases were positive or "suspect by antibiotic residues by FPT and ELISA screening method, respectively. The HPLC assay indicated in 7 samples of wings and 12 samples of breast and 18 samples of thigh, residues of TCs were detected. The study revealed that the TCs levels in one sample of wings and three samples of breast and five samples of thigh exceeded the maximum residue level (MRL) reported by the EU. To reduce the TC residues found in edible chicken meat, regulatory authorities should ensure that the chicken would undergo the proper withdrawal period from TCs before slaughtering. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Concentration of steroid hormones in sediment of surface water resources in China: systematic review and meta-analysis with ecological risk assessment.

Author

Fakhri, Yadolah, Mehri, Fereshteh, Pilevar, Zahra, and Moradi, Mahboobeh

Subjects
*STEROIDS, *SEX hormones, *RISK assessment, *ENVIRONMENTAL health, *MEDICAL information storage & retrieval systems, *ECOLOGY, *ESTRIOL, *NATURE, *META-analysis, *ESTROGEN, *CHI-squared test, *DESCRIPTIVE statistics, *WATER supply, *SYSTEMATIC reviews, *MEDLINE, *POLLUTANTS, *WATER pollution, *ONLINE information services, *ECOLOGICAL research
Abstract

The risk quotient (RQ) related to Estrone (E1), 17β–E2 (E2), Estriol (E3) and 17α-ethynylestradiol (EE2) in sediment of water resources in China was calculated using Monte Carlo Simulation (MCS) method. Fifty-four papers with 64 data-reports included in our study. The rank order of steroid hormones in sediment based on log-normal distribution in MCS was E1 (3.75 ng/g dw) > E3 (1.53 ng/g dw) > EE2 (1.38 ng/g dw) > E2 (1.17 ng/g dw). According to results, concentration of steroid hormones including E1, E2 and E3 in sediment of Erhai lake, northern Taihu lake and Dianchi river was higher than other locations. The rank order of steroid hormones based on percentage high risk (RQ > 1) was EE2 (87.00%) > E1 (70.00%) > E2 (62.99%) > E3 (11.11%). Hence, contamination control plans for steroid hormones in sediment of water resources in China should be conducted continuously. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Ward, Joseph L, Azzopardi, Peter S, Francis, Kate Louise, Santelli, John S, Skirbekk, Vegard, Sawyer, Susan M, Kassebaum, Nicholas J, Mokdad, Ali H, Hay, Simon I, Abd-Allah, Foad, Abdoli, Amir, Abdollahi, Mohammad, Abedi, Aidin, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abu-Gharbieh, Eman, Abushouk, Abdelrahman I, Adebayo, Oladimeji M, Adekanmbi, Victor, Adham, Davoud, Advani, Shailesh M, Afshari, Khashayar, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmed, Anwar E, Aji, Budi, Akombi-Inyang, Blessing, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Alemu, Biresaw Wassihun, Al-Hajj, Samar, Alhassan, Robert Kaba, Ali, Saqib, Alicandro, Gianfranco, Alijanzadeh, Mehran, Aljunid, Syed Mohamed, Almasi-Hashiani, Amir, Almasri, Nihad A, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Saeed, Aminorroaya, Arya, Amit, Arianna Maever L, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Fereshteh, Ansari, Iman, Antonio, Carl Abelardo T, Anvari, Davood, Anwer, Razique, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Ärnlöv, Johan, Asaad, Malke, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Atout, Maha Moh'd Wahbi, Ausloos, Marcel, Avenyo, Elvis Korku, Avila-Burgos, Leticia, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Aynalem, Yared Asmare, Azari, Samad, Azene, Zelalem Nigussie, Bakhshaei, Mohammad Hossein, Bakkannavar, Shankar M, Banach, Maciej, Banik, Palash Chandra, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Basu, Sanjay, Baune, Bernhard T, Bayati, Mohsen, Bedi, Neeraj, Beghi, Ettore, Bekuma, Tariku Tesfaye, Bell, Arielle Wilder, Bell, Michelle L, Benjet, Corina, Bensenor, Isabela M, Berhe, Abadi Kidanemariam, Berhe, Kidanemaryam, Berman, Adam E, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhattarai, Suraj, Bhutta, Zulfiqar A, Bijani, Ali, Bikbov, Boris, Biondi, Antonio, Birhanu, Tesega Tesega Mengistu, Biswas, Raaj Kishore, Bohlouli, Somayeh, Bolla, Srinivasa Rao, Boloor, Archith, Borschmann, Rohan, Boufous, Soufiane, Bragazzi, Nicola Luigi, Braithwaite, Dejana, Breitborde, Nicholas J K, Brenner, Hermann, Britton, Gabrielle B, Burns, Richard A, Burugina Nagaraja, Sharath, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Cerin, Ester, Chandan, Joht Singh, Chang, Hsing-Yi, Chang, Jung-Chen, Charan, Jaykaran, Chattu, Vijay Kumar, Chaturvedi, Sarika, Choi, Jee-Young Jasmine, Chowdhury, Mohiuddin Ahsanul Kabir, Christopher, Devasahayam J, Chu, Dinh-Toi, Chung, Michael T, Chung, Sheng-Chia, Cicuttini, Flavia M, Constantin, Traian Vasile, Costa, Vera Marisa, Dahlawi, Saad M A, Dai, Haijiang, Dai, Xiaochen, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Darwesh, Aso Mohammad, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, De la Hoz, Fernando Pio, De Leo, Diego, Dervenis, Nikolaos, Desai, Rupak, Desalew, Assefa, Deuba, Keshab, Dharmaratne, Samath Dhamminda, Dhungana, Govinda Prasad, Dianatinasab, Mostafa, Dias da Silva, Diana, Diaz, Daniel, Didarloo, Alireza, Djalalinia, Shirin, Dorostkar, Fariba, Doshi, Chirag P, Doshmangir, Leila, Doyle, Kerrie E, Duraes, Andre Rodrigues, Ebrahimi Kalan, Mohammad, Ebtehaj, Sanam, Edvardsson, David, El Tantawi, Maha, Elgendy, Islam Y, El-Jaafary, Shaimaa I, Elsharkawy, Aisha, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeilnejad, Saman, Esmaeilzadeh, Firooz, Esteghamati, Sadaf, Faro, Andre, Farzadfar, Farshad, Fattahi, Nazir, Feigin, Valery L, Ferede, Tomas Y, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferrara, Pietro, Filip, Irina, Fischer, Florian, Fisher, James L, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Foroutan, Masoud, Fukumoto, Takeshi, Gad, Mohamed M, Gaidhane, Abhay Motiramji, Gallus, Silvano, Gebre, Teshome, Gebremedhin, Ketema Bizuwork, Gebremeskel, Gebreamlak Gebremedhn, Gebremeskel, Leake, Gebreslassie, Assefa Ayalew, Gesesew, Hailay Abrha, Ghadiri, Keyghobad, Ghafourifard, Mansour, Ghamari, Farhad, Ghashghaee, Ahmad, Gilani, Syed Amir, Gnedovskaya, Elena V, Godinho, Myron Anthony, Golechha, Mahaveer, Goli, Srinivas, Gona, Philimon N, Gopalani, Sameer Vali, Gorini, Giuseppe, Grivna, Michal, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guimarães, Rafael Alves, Guo, Yuming, Gupta, Rajeev, Haagsma, Juanita A, Hafezi-Nejad, Nima, Haile, Teklehaimanot Gereziher, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hall, Brian J, Hamadeh, Randah R, Hamagharib Abdullah, Kanaan, Hamidi, Samer, Handiso, Demelash Woldeyohannes, Hanif, Asif, Hankey, Graeme J, Haririan, Hamidreza, Haro, Josep Maria, Hasaballah, Ahmed I, Hashi, Abdiwahab, Hassan, Amr, Hassanipour, Soheil, Hassankhani, Hadi, Hayat, Khezar, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heydarpour, Fatemeh, Ho, Hung Chak, Hole, Michael K, Holla, Ramesh, Hoogar, Praveen, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hsairi, Mohamed, Huda, Tanvir M, Humayun, Ayesha, Hussain, Rabia, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Inbaraj, Leeberk Raja, Intarut, Nirun, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, M Mofizul, Islam, Sheikh Mohammed Shariful, Iso, Hiroyasu, Ivers, Rebecca Q, Jahani, Mohammad Ali, Jakovljevic, Mihajlo, Jalali, Amir, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jeemon, Panniyammakal, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Jones, Kelly M, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Juliusson, Petur B, Jürisson, Mikk, Kabir, Ali, Kabir, Zubair, Kalankesh, Leila R, Kalhor, Rohollah, Kamyari, Naser, Kanchan, Tanuj, Karch, André, Karimi, Salah Eddin, Kaur, Supreet, Kayode, Gbenga A, Keiyoro, Peter Njenga, Khalid, Nauman, Khammarnia, Mohammad, Khan, Maseer, Khan, Md Nuruzzaman, Khatab, Khaled, Khater, Mona M, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khazaie, Habibolah, Khoja, Abdullah T, Kieling, Christian, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kivimäki, Mika, Koolivand, Ali, Kosen, Soewarta, Koyanagi, Ai, Krishan, Kewal, Kugbey, Nuworza, Kumar, G Anil, Kumar, Manasi, Kumar, Nithin, Kurmi, Om P, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lan, Qing, Landires, Iván, Lansingh, Van Charles, Larsson, Anders O, Lasrado, Savita, Lassi, Zohra S, Lauriola, Paolo, Lee, Paul H, Lee, Shaun Wen Huey, Leigh, James, Leonardi, Matilde, Leung, Janni, Levi, Miriam, Lewycka, Sonia, Li, Bingyu, Li, Ming-Chieh, Li, Shanshan, Lim, Lee-Ling, Lim, Stephen S, Liu, Xuefeng, Lorkowski, Stefan, Lotufo, Paulo A, Lunevicius, Raimundas, Maddison, Ralph, Mahasha, Phetole Walter, Mahdavi, Mokhtar Mahdavi, Mahmoudi, Morteza, Majeed, Azeem, Maleki, Afshin, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A, Mansouri, Borhan, Mansournia, Mohammad Ali, Martinez, Gabriel, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Mason-Jones, Amanda J, Masoumi, Seyedeh Zahra, Mathur, Manu Raj, Maulik, Pallab K, McGrath, John J, Mehndiratta, Man Mohan, Mehri, Fereshteh, Memiah, Peter T N, Mendoza, Walter, Menezes, Ritesh G, Mengesha, Endalkachew Worku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Bartosz, Miazgowski, Tomasz, Michalek, Irmina Maria, Miller, Ted R, Mini, GK, Mirica, Andreea, Mirrakhimov, Erkin M, Mirzaei, Hamed, Mirzaei, Maryam, Moazen, Babak, Mohammad, Dara K, Mohammadi, Shadieh, Mohammadian-Hafshejani, Abdollah, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohammed, Shafiu, Monasta, Lorenzo, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradzadeh, Rahmatollah, Moraga, Paula, Morrison, Shane Douglas, Mosapour, Abbas, Mousavi Khaneghah, Amin, Mueller, Ulrich Otto, Muriithi, Moses K, Murray, Christopher J L, Muthupandian, Saravanan, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naimzada, Mukhammad David, Nangia, Vinay, Nayak, Vinod C, Nazari, Javad, Ndejjo, Rawlance, Negoi, Ionut, Negoi, Ruxandra Irina, Netsere, Henok Biresaw, Nguefack-Tsague, Georges, Nguyen, Diep Ngoc, Nguyen, Huong Lan Thi, Nie, Jing, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nomura, Shuhei, Noubiap, Jean Jacques, Nowak, Christoph, Nuñez-Samudio, Virginia, Ogbo, Felix Akpojene, Oghenetega, Onome Bright, Oh, In-Hwan, Oladnabi, Morteza, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar Bali, Ahmed, Omer, Muktar Omer, Onwujekwe, Obinna E, Ortiz, Alberto, Otoiu, Adrian, Otstavnov, Nikita, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandey, Anamika, Panelo, Carlo Irwin Able, Park, Eun-Kee, Patten, Scott B, Peden, Amy E, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Pereira, Jeevan, Pesudovs, Konrad, Pham, Hai Quang, Phillips, Michael R, Piradov, Michael A, Pirsaheb, Meghdad, Postma, Maarten J, Pottoo, Faheem Hyder, Pourjafar, Hadi, Pourshams, Akram, Prada, Sergio I, Pupillo, Elisabetta, Quazi Syed, Zahiruddin, Rabiee, Mohammad Hasan, Rabiee, Navid, Radfar, Amir, Rafiee, Ata, Raggi, Alberto, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Ramezanzadeh, Kiana, Ranabhat, Chhabi Lal, Rao, Sowmya J, Rashedi, Vahid, Rastogi, Prateek, Rathi, Priya, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Nima, Rezai, Mohammad sadegh, Riahi, Seyed Mohammad, Rickard, Jennifer, Roever, Leonardo, Ronfani, Luca, Roth, Gregory A, Rubagotti, Enrico, Rumisha, Susan Fred, Rwegerera, Godfrey M, Sabour, Siamak, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salem, Marwa Rashad, Salimzadeh, Hamideh, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Saraswathy, Sivan Yegnanarayana Iyer, Sarrafzadegan, Nizal, Sarveazad, Arash, Sathish, Thirunavukkarasu, Sattin, Davide, Saxena, Deepak, Saxena, Sonia, Schiavolin, Silvia, Schwebel, David C, Schwendicke, Falk, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Sha, Feng, Shafaat, Omid, Shahabi, Saeed, Shaheen, Amira A, Shaikh, Masood Ali, Shakiba, Saeed, Shamsi, MohammadBagher, Shannawaz, Mohammed, Sharafi, Kiomars, Sheikh, Aziz, Sheikhbahaei, Sara, Shetty, B Suresh Kumar, Shi, Peilin, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Shuval, Kerem, Siabani, Soraya, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santos, Silva, João Pedro, Simonetti, Biagio, Singh, Jasvinder A, Singh, Virendra, Sinke, Abiy H, Skryabin, Valentin Yurievich, Slater, Helen, Smith, Emma U R, Sobhiyeh, Mohammad Reza, Sobngwi, Eugene, Soheili, Amin, Somefun, Oluwaseyi Dolapo, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Stein, Dan J, Stokes, Mark A, Sudaryanto, Agus, Sultan, Iyad, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Taherkhani, Amir, Tamiru, Animut Tagele, Tareque, Md Ismail, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thomas, Nihal, Titova, Mariya Vladimirovna, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Travillian, Ravensara S, Tsai, Alexander C, Tsatsakis, Aristidis, Tudor Car, Lorainne, Uddin, Riaz, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Varughese, Santosh, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villeneuve, Paul J, Violante, Francesco S, Vlassov, Vasily, Vos, Theo, Vu, Giang Thu, Waheed, Yasir, Wamai, Richard G, Wang, Yafeng, Wang, Yanzhong, Wang, Yuan-Pang, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wu, Ai-Min, Wu, Chenkai, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yano, Yuichiro, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yeshitila, Yordanos Gizachew, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yousefinezhadi, Taraneh, Yu, Chuanhua, Yu, Yong, Yuce, Deniz, Zaidi, Syed Saoud, Zaman, Sojib Bin, Zamani, Mohammad, Zamanian, Maryam, Zarafshan, Hadi, Zarei, Ahmad, Zastrozhin, Mikhail Sergeevich, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Xiu-Ju George, Zhu, Cong, Patton, George C, and Viner, Russell M

Published
2021
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28. Content of potentially toxic elements (PTEs) in coffee and coffee-based products: a meta-analysis study, Systematic review, and health risk assessment.

Author

Rahimi, Alireza, Talebi-Ghane, Elaheh, Heshmati, Ali, Ranjbar, Akram, and Mehri, Fereshteh

Subjects
HEALTH risk assessment, ANALYSIS of heavy metals, COPPER, IRON alloys, LEAD
Abstract

Coffee is the most popular beverage after water in the world, which has an important role in health as a result of various minerals and vitamins but it may be pollution source of potentially toxic elements (PTEs) that can threate the health. Thus, the current study intended to detect the level of PTEs such as Cadmium (Cd), Copper (Cu), Lead (Pb), Nickel (Ni), Znc (Zn) and Iron (Fe), in various coffee and coffee-based products (powder, ground, processed, infusion and bean). Considering the databases of Scopus, Google scholar, PubMed, and Web of Science, the concentration of PTEs in coffee and coffee-based products was retrieved and meta-analyzed. Additionally, the non-carcinogenic risks in terms of total hazard quotient (TTHQ) were assessed using Monte Carlo simulated (MCS) model. According to the findings of 23 articles, the ranking of metal concentration in different coffees was Fe > Zn > Cu> Ni > Pb > Cd in powder, Fe > Cu > Zn> Ni in ground, Fe > Zn > Ni> Cu> Pb > Cd in processed and infusion and Fe > Zn > Ni> Cs > Pb in bean. Moreover, based on WHO regions, the highest concentrations of Cd and Pb (0.742 mg/kg) were related to the South-East Asia Region (SEARO) and European region (EURO) respectively. However, the highest concentrations of Fe (81.161 mg/kg), Zn (33.392 mg/kg), Cu (9.408 mg/kg), and Ni (18.064 mg/kg) were related to Pan American health organization (PAHO), PAHO, PAHO and Eastern Mediterranean Region (EMRO), respectively. On the other hand, the risk pattern was different in different countries. Moreover, consumers in some countries were not at significant non-carcinogenic risks because of ingestion of PTEs via coffee and consumption of coffee-based products. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Steroid hormones in surface water resources in China: systematic review and meta-analysis and probabilistic ecological risk assessment.

Author

Hui, Xiaomei, Fakhri, Yadolah, Heidarinejad, Zoha, Ranaei, Vahid, Daraei, Hasti, Mehri, Fereshteh, Limam, Intissar, and Nam Thai, Van

Subjects
STEROIDS, SEX hormones, RISK assessment, MEDICAL information storage & retrieval systems, ENVIRONMENTAL health, ECOLOGY, RESEARCH funding, META-analysis, DESCRIPTIVE statistics, ESTROGEN, WATER supply, MEDLINE, SIMULATION methods in education, POLLUTANTS, ONLINE information services
Abstract

A Search was conducted in international databases including Scopus, PubMed, Embase, and Web of Science from 10 January 2005 to 15 January 2023. The risk quotient (RQ) of Estrone (E1), 17β–E2 (E2), and Estriol (E3) on the surface water resources of China was calculated by Monte Carlo Simulation (MCS) technique. The rank order of steroid hormones based on pooled (weighted average) concentration in surface water was E3 (2.15 ng/l) > E2 (2.01 ng/l) > E1 (1.385 ng/l). The concentration of E1 in Dianchi lake (236.50.00 ng/l), 17β-E2 in Licun river (78.50 ng/l), and E3 in Dianchi lake (103.1 ng/l) were higher than in other surface water resources in China. RQ related to E1, 17β-E2 and E3 in 68.00%, 88.89% and 3.92% of surface water resources were high ecological risk, respectively. Therefore, carrying out source control plans for steroid hormones in surface water sources should be conducted continuously. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Potentially toxic elements (PTEs) in coastal sediments of Bandar Abbas city, North of Persian Gulf: An ecological risk assessment.

Author

Mahmudiono, Trias, Hoseinvandtabar, Somayeh, Mehri, Fereshteh, Borzoei, Mohammad, Heidarinejad, Zoha, Amin Nakoozadeh, Mohammad, Daraei, Hasti, Atamaleki, Ali, Fakhri, Yadolah, and Mousavi Khaneghah, Amin

Subjects
HEAVY metals, FOOD safety, ENVIRONMENTAL monitoring, RISK assessment, NATURE, POLLUTION
Abstract

The concentration of potentially toxic elements (PTEs; Lead (Pb), Nickel (Ni), and Cadmium (Cd) Pb, Ni, and Cd), using flame atomic absorption spectrometry (FAAS) was measured in fifty surface coastal sediment samples collected from 5 points coastal sediment of Bandar Abbas city, Iran besides the potential ecological risk index (RI) estimated the environmental health risk. The rank order of PTEs was Pb (52.090 ± 4.113 mg/kg dry weight) > Ni (34.940 ± 8.344 mg/kg dry weight) > Cd (2.944 ± 0.013 mg/kg dry weight). RI due to PTEs in sediments for A, B, C, D, and E points were 187.655, 190.542, 191.079, 189.496, and 192.053, respectively. RI for sampling points A to E was at moderate risk (150 ≤ RI < 300). Therefore, it is recommended to carry out control programs to reduce the amount of PTEs in the coastal sediment of the Persian Gulf. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Evaluation of antibiotic residues in honey: a systematic review and meta-analysis.

Author

Shoaei, Fateme, Talebi-Ghane, Elaheh, Ranjbar, Akram, and Mehri, Fereshteh

Subjects
HONEY analysis, DRUG residues, ONLINE information services, META-analysis, TETRACYCLINE, HIGH performance liquid chromatography, SYSTEMATIC reviews, LIQUID chromatography-mass spectrometry, FLUOROQUINOLONES, RISK assessment, DESCRIPTIVE statistics, ENZYME-linked immunosorbent assay, MEDLINE, ANTIBIOTICS, SULFONAMIDES, MACROLIDE antibiotics
Abstract

Nowadays, incorrect apply of antibiotics to treat infections in honey has led to health risks for humans and antibiotic resistance. Current systematic review and meta-analysis conducted to study antibiotic residues in honey. Data were obtained through searching the databases, including Scopus, Web of Science, PubMed, and other internal databases. The pooled concentration of antibiotic residues was 5.032 (µg/kg) that ranged from 4.72 to 5.33 (µg/kg). The ranking of antibiotics concentration was found in order of fluoroquinolone (8.59 µg/kg) > tetracycline (5.68 µg/kg) > sulfonamides (5.54 µg/kg) > macrolides (4.19µg/kg), respectively. Liquid chromatography–mass spectrometry (LC–MS) method (37.9.7%), high-performance liquid chromatography (HPLC) method (34.4%), and enzyme-linked immunosorbent assay (ELISA) method (27.5.8%) were the most used methods in various studies. In order to avoid contamination, proper use of antibiotics, placement of hives at a suitable distance from agricultural environment, and regular control of antibiotic residues in honey seems to be necessary. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Concentration and non-dietary human health risk assessment of pesticide residues in soil of farms in Golestan province, Iran.

Author

Mahdavi, Vahideh, Solhi Heris, Mir-Ebrahim, Mehri, Fereshteh, Atamaleki, Ali, Moridi Farimani, Mahdi, Mahmudiono, Trias, and Fakhri, Yadolah

Subjects
TUMOR risk factors, DRUG residues, SOILS, POLLUTANTS, CARCINOGENS, PESTICIDES, FOOD consumption, HAZARDOUS substances, AGRICULTURE, HEALTH status indicators, MALATHION, INHALATION injuries, RISK assessment
Abstract

Detection of pesticide residues in soil samples was conducted using UHPLC-MS/MS. Non-dietary health risk assessment was conducted using calculate chronic daily intake (CDI) from ingestion, inhalation and dermal contact pathways and following non-carcinogenic and carcinogenic risks in the adults and adolescent. The rank order of pesticide in soil based on their concentration was malathion (0.082 mg kg−1)> cyproconazole (0.019 mg kg−1)> propargite (0.018 mg kg−1)> butachlor (0.016 mg kg−1) > chlorpyrifos (0.0067 mg kg−1)> diazinon (0.0014 mg kg−1)> imidacloprid (0.0007 mg kg−1). Hazard index (HI) values obtained of exposure to pesticides in soil in adults and adolescent were 0.0012 and 0.0035, respectively. Hence, exposed population are at the acceptable range of non-carcinogenic risk (HI < 1). Cancer risk (CR) values due to propargite in soil via ingestion pathway in adults and adolescent were 2.03E–09 and 2.08E–09, respectively; therefore, carcinogenic risk due to the exposure to pesticide contaminated soil was safe range (CR < 1E–06). [ABSTRACT FROM AUTHOR]

Published
2024
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35. Occurrence, dietary exposure, and risk assessment of aflatoxins in wheat flour from Iran.

Author

Heshmati, Ali, Mozaffari Nejad, Amir Sasan, and Mehri, Fereshteh

Subjects
FLOUR, AFLATOXINS, HEPATOCELLULAR carcinoma, RISK assessment, LIVER cancer
Abstract

This study was performed to determine the concentration and assess the risk of aflatoxins (AFs) i.e. aflatoxin B1 (AFB1), B2 (AFB2), G1 (AFG1), and G2 (AFG2) in wheat whole and refined flour samples for Iranian adults. Sixty-five (60.19%) out of 108 analysed samples were positive for AFB1 and total AFs (AFB1+ AFB2+ AFG1+ AFG2). The range of AFB1 and the total AFs in samples were 0.14–7.34 and 0.34–7.61 µg kg−1, respectively. While, their means were 1.70 ± 0.22 and 2.15 ± 0.23, respectively. AFB1 level in 7 (6.48%) samples exceeded maximum limits allowed according to Iran standard (5 µg kg−1) while all samples had total AFs at an acceptable level (15 µg kg−1). The incidence and concentration of AFs in wheat whole flour samples were higher than that of refined flour one. The estimated daily intake (EDI), the margin of exposure (MOE), hepatocellular cancer risk of AFB1 through flour samples were 0.004 µg kg−1 bw day−1, 108.74 and 4.12 cases per 100,000 individuals/75 years, respectively. As EDI was more than the suggested value of 0.017 ng kg−1 bw day−1 and hepatocellular cancer risk was higher than the recommended level of 0.1 cases/75 years/100,000 individuals and MOE >10,000, it could be concluded AFs level in flour samples had a health potential risk to human health. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Concentration of potentially toxic elements (PTEs) in milk and its product: a systematic review and meta-analysis and health risk assessment study.

Author

Rahimi, Alireza, Talebi Ghane, Elaheh, and Mehri, Fereshteh

Subjects
HEALTH risk assessment, DAIRY products, PRODUCT reviews, COPPER, MONTE Carlo method, YOGURT
Abstract

This study evaluated the concentration of potentially toxic elements (PTEs) in milk and its products. The related studies regarding the concentration of PTEs in milk and its products were investigated in international databases such as Scopus, PubMed, and Web of Science. Finally, the health risk assessment was performed using Total Target Hazard Quotient (TTHQ) by the Monte-Carlo Simulation model. According to the results of 30 included articles among 981 retrieved studies, the ranking of metal concentration was Zn > Fe > Se > Cu > As > Ni > Cd > Pb and Zn > Se > Pb > Cu > As > Ni> Fe > Cd in milk and Butter, as well as Fe > Cu > Pb > Se > Zn > Ni> Cd> As and Fe> Zn> Se> Cu > Ni> > As> Cd> Pb in cheese and Yoghurt, respectively. Based on the type of continents, the highest concentrations of As (0.16 µg/kg), Cd (0.49 µg/kg), and Pb (0.49 µg/kg) were found in yoghurt, cheese, and butter, which was related to Western Pacific Region (WPRO) and European Region (EURO), respectively. Regarding trace elements, the highest concentrations of Fe (3.94 µg/kg), Zn (5.90 µg/kg), and Ni (0.23 µg/kg) were observed in yoghurt, butter, and yoghurt belonging to WPRO and Pan Americas Region (PAHO), respectively. In addition, Se (0.78 µg/kg), Cu (0.57 µg/kg), and Se (0.78 µg/kg) represented the highest concentrations in yoghurt and cheese and were associated with WPRO and PAHO, respectively. The non-carcinogenic risk assessment of the PTEs indicated a different risk pattern in various countries, and the TTHQ level in adult groups in all countrieswas lower than 1 except for Italy. Thus, the consumption of milk and its products is safe to the health of consumers. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Monitoring of aflatoxins in edible vegetable oils consumed in Western Iran in Iran: a risk assessment study.

Author

Poormohammadi, Ali, Bashirian, Saeid, Mir Moeini, Effat Sadat, Reza Faryabi, Mohammad, and Mehri, Fereshteh

Subjects
EDIBLE fats & oils, OLIVE oil, AFLATOXINS, PEANUT oil, SESAME oil, HIGH performance liquid chromatography, RISK assessment, MONTE Carlo method
Abstract

Edible vegetable oils as an important component of our daily diet are widely consumed around the world. In this research, the concentrations of aflatoxins, including B1 (AFB1), B2 (AFB2), G1 (AFG1) and G2 (AFG2) were measured in 43 edible vegetable oil samples such as peanut oil (n = 18), sesame oil (n = 15), olive oil and (n = 10) using high-Performance liquid chromatography with fluorescence detector (HPLC- FLD). In addition, health risks of aflatoxins in adults and children due to ingestion of edible oils were calculated using the Margin of Exposure Estimation (MOE) by the Monte Carlo simulation (MCS) model. The results indicated that the total aflatoxin (TAF) and AFB1 concentrations in 30 (69.76%) and 29(67.14%) of the samples were in the ranges 0.09–30.95 µg/kg and 0.04–20.56 µg/kg, respectively. Also, the concentrations ofTAF and AFB1 in 18 and 16 samples were higher than the European Union maximum permissible limit, which were 4 and 2 µg/kg, respectively.While according to risk assessment analysis, the consumption of edible vegetable oils in children was safe. MOE values of aflatoxin through the consumption of edible vegetable oils in adult were lower than 10,000, showing that the adult are at considerable liver cancer risk. Therefore, it is necessary to strict inspection and monitoring of edible oil products by the regulatory bodies. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Global systematic review and meta-analysis on prevalence and concentration of aflatoxins in peanuts oil and probabilistic risk assessment.

Author

Fakhri, Yadolah, Omar, Sharaf S., Mehri, Fereshteh, Hoseinvandtabar, Somayeh, and Mahmudiono, Trias

Abstract

Exposure to mycotoxins in food is largely unavoidable, and concerns about their health effects are growing. Consumption of vegetable oils such as peanuts oil has increased, hence several studies have been conducted on concentration of aflatoxins (AFs) in peanuts oil. Search was performed in Scopus and PubMed databases on prevalence and concentration of AFs in peanuts oil from 1 January 2005 to 15 April 29, 2022. Prevalence and concentration of AFs in peanuts oil was meta-analyzed based on country and type of AFs subgroups. In addition, health risk was calculated using monte carlo simulation method. Pooled prevalence of AFB1 in peanuts oil was 47.9%; AFB2, 46.45%; AFG1, 46.92% and AFG2, 54.01%. The Overall prevalence of AFTs was 49.30%, 95%CI (35.80–62.84%). Pooled concentration of AFB1 in peanuts oil was 2.30 μg/kg; AFB2, 0.77 μg/kg; AFG1, 0.07 μg/kg; AFG1, 0.28 μg/kg. The sort of country based on mean of MOEs in the adults consumers was Japan (47,059) > China (17,670) > Ethiopia (7,398) > Sudan (6,974) > USA (1,012) and sort of country based on mean of MOEs in the children was Japan (120,994) > China (46,991) > Ethiopia (19,251) > Sudan (18,200) > USA (2,620). Therefore, adults consumers were in considerable health risk in Ethiopia, Sudan and USA and for children in USA (MOE < 10,000). [ABSTRACT FROM AUTHOR]

Published
2023
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43. Potentially toxic elements (PTEs) in coastal sediments of Bandar Abbas city, North of Persian Gulf: An ecological risk assessment

Author

Mahmudiono, Trias, primary, Hoseinvandtabar, Somayeh, additional, Mehri, Fereshteh, additional, Borzoei, Mohammad, additional, Heidarinejad, Zoha, additional, Amin Nakoozadeh, Mohammad, additional, Daraei, Hasti, additional, Atamaleki, Ali, additional, Fakhri, Yadolah, additional, and Mousavi Khaneghah, Amin, additional

Published
2023
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