作者
Mahir Gachabayov, Khan Sharun, Daniel M Felsenreich, Firzan Nainu, Samsul Anwar, Amanda Yufika, Youdiil Ophinni, Chika Yamada, Marhami Fahriani, Milda Husnah, Rawan Raad, Namareg ME Khiri, Rashed YA Abdalla, Rashed Y Adam, Mohajer IH Ismaeil, Asma Y Ismail, Wajdi Kacem, Zeineb Teyeb, Khaoula Aloui, Montacer Hafsi, Manel Ferjani, Nasrine Ben Hadj Dahman, Dalia A Deeb, Dina Emad, Kirellos Said Abbas, Fatma A Monib, Farah S Sami, Subramaniam Ramanarayanan, Suhrud Panchawagh, Sunil Anandu, Md Ariful Haque, Lirane ED Ferreto, María FC Briones, Rocío BI Morales, Sebastián Lazcano-Díaz, José TO Aburto, Jorge ET Rojas, Emmanuel O Balogun, Hendrix I Kusuma, Cut Meurah Yeni, Niken Asri Utami, Seyi S Enitan, Akele R Yomi, Abiodun Durosinmi, Esther N Adejumo, Eyiuche D Ezigbo, Elham Babadi, Edris Kakemam, Irfan Ullah, Najma I Malik, Francesco Rosiello, Talha B Emran, Eva Imelda, Guilherme W Wendt, Morteza Arab-Zozani, Kuldeep Dhama, Mudatsir Mudatsir, Harapan Harapan
发表日期
2022
期刊
F1000Research
卷号
11
出版商
Faculty of 1000 Ltd
简介
Background: Risk perceptions of coronavirus disease 2019 (COVID-19) are considered important as they impact community health behaviors. The aim of this study was to determine the perceived risk of infection and death due to COVID-19 and to assess the factors associated with such risk perceptions among community members in low-and middle-income countries (LMICs) in Africa, Asia, and South America.
Methods: An online cross-sectional study was conducted in 10 LMICs in Africa, Asia, and South America from February to May 2021. A questionnaire was utilized to assess the perceived risk of infection and death from COVID-19 and its plausible determinants. A logistic regression model was used to identify the factors associated with such risk perceptions.
Results: A total of 1,646 responses were included in the analysis of the perceived risk of becoming infected and dying from COVID-19. Our data suggested …
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M Gachabayov, K Sharun, DM Felsenreich, F Nainu… - F1000Research, 2022