F1000Research (Sep 2022)

Perceived risk of infection and death from COVID-19 among community members of low- and middle-income countries: A cross-sectional study [version 2; peer review: 2 approved]

  • Samsul Anwar,
  • Mudatsir Mudatsir,
  • Youdiil Ophinni,
  • Chika Yamada,
  • Amanda Yufika,
  • Khaoula Aloui,
  • Manel Ferjani,
  • Wajdi Kacem,
  • Rawan Raad,
  • Namareg ME. Khiri,
  • Khan Sharun,
  • Mahir Gachabayov,
  • Lirane ED. Ferreto,
  • María FC. Briones,
  • Marhami Fahriani,
  • Sunil Anandu,
  • Harapan Harapan,
  • Md Ariful Haque,
  • Zeineb Teyeb,
  • Suhrud Panchawagh,
  • Dalia A. Deeb,
  • Dina Emad,
  • Irfan Ullah,
  • Najma I. Malik,
  • Elham Babadi,
  • Edris Kakemam,
  • Abiodun Durosinmi,
  • Esther N. Adejumo,
  • Rocío BI. Morales,
  • Sebastián Lazcano-Díaz,
  • Kirellos Said Abbas,
  • Nasrine Ben Hadj Dahman,
  • Farah S. Sami,
  • Fatma A. Monib,
  • Mohajer IH. Ismaeil,
  • Guilherme W. Wendt,
  • Rashed Y. Adam,
  • Morteza Arab-Zozani,
  • Montacer Hafsi,
  • Asma Y. Ismail,
  • Talha B. Emran,
  • Rashed YA. Abdalla,
  • Daniel M. Felsenreich,
  • Eyiuche D. Ezigbo,
  • Firzan Nainu,
  • Akele R. Yomi,
  • Eva Imelda,
  • Francesco Rosiello,
  • Kuldeep Dhama,
  • Cut Meurah Yeni,
  • Hendrix I. Kusuma,
  • Seyi S. Enitan,
  • Niken Asri Utami,
  • José TO. Aburto,
  • Subramaniam Ramanarayanan,
  • Emmanuel O. Balogun,
  • Jorge ET. Rojas,
  • Milda Husnah

Journal volume & issue
Vol. 11

Abstract

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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 that 36.4% of participants had a high perceived risk of COVID-19 infection, while only 22.4% had a perceived risk of dying from COVID-19. Being a woman, working in healthcare-related sectors, contracting pulmonary disease, knowing people in the immediate social environment who are or have been infected with COVID-19, as well as seeing or reading about individuals infected with COVID-19 on social media or TV were all associated with a higher perceived risk of becoming infected with COVID-19. In addition, being a woman, elderly, having heart disease and pulmonary disease, knowing people in the immediate social environment who are or have been infected with COVID-19, and seeing or reading about individuals infected with COVID-19 on social media or TV had a higher perceived risk of dying from COVID-19. Conclusions: The perceived risk of infection and death due to COVID-19 are relatively low among respondents; this suggests the need to conduct health campaigns to disseminate knowledge and information on the ongoing pandemic.

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