Back to Journals » Risk Management and Healthcare Policy » Volume 14

Global Population Aging, National Development Level, and Vulnerability to the Pandemic

Authors Yuan B, Li J, Zhao H, Zeng G

Received 18 November 2020

Accepted for publication 1 January 2021

Published 18 February 2021 Volume 2021:14 Pages 705—717

DOI https://doi.org/10.2147/RMHP.S292440

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Marco Carotenuto


Bocong Yuan,1 Jiannan Li,2 Hairong Zhao,1 Guojun Zeng1

1School of Tourism Management, Sun Yat-Sen University, Guangzhou, People’s Republic of China; 2Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University, Beijing, People’s Republic of China

Correspondence: Jiannan Li
Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, People’s Republic of China
Email 91122020111@bnu.edu.cn
Guojun Zeng
Sun Yat-Sen University, 135 West Xingang Road, Haizhu District, Guangzhou, People’s Republic of China
Email zenggj@mail.sysu.edu.cn

Purpose: This study examined the roles of population aging and national development level in affecting different phases of novel coronavirus disease development with a view to advancing preparedness and corresponding policy.
Methods: Regression analysis was conducted using multisource data from the World Bank and Johns Hopkins COVID-19 Dashboard.
Results: Population aging is positively associated with confirmed cases of day-10, day-20, and day-30. The positive association between population aging and death does not emerge until day-20. Countries with a higher proportion of older males face higher risks of death.. Countries with a higher proportion of males aged 70– 74 years are at the highest risk of confirmed cases. National development level is not associated with confirmed cases, but developing countries face significantly higher risks of death of day-10 and day-20.
Conclusion: Prevention and control policies for older adults and underdeveloped areas and sex differences need to be studied.

Keywords: population aging, sex difference, policy preparedness, national development level, pandemic

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]