Face mask is an efficient tool to fight the Covid-19 pandemic and some factors increase the probability of its adoption

Author:

Damette Olivier,Huynh Toan Luu Duc

Abstract

AbstractThis study examines the dynamic impact of face mask use on both infected cases and fatalities at a global scale by using a rich set of panel data econometrics. An increase of 100% of the proportion of people declaring wearing a mask (multiply by two) over the studied period lead to a reduction of around 12 and 13.5% of the number of Covid-19 infected cases (per capita) after 7 and 14 days respectively. The delay of action varies from around 7 days to 28 days concerning infected cases but is more longer concerning fatalities. Our results hold when using the rigorous controlling approach. We also document the increasing adoption of mask use over time and the drivers of mask adoption. In addition, population density and pollution levels are significant determinants of heterogeneity regarding mask adoption across countries, while altruism, trust in government and demographics are not. However, individualism index is negatively correlated with mask adoption. Finally, strict government policies against Covid-19 have a strong significant effect on mask use.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference92 articles.

1. Ajzenman, N., Cavalcanti, T. & Da Mata, D. More than words: Leaders’ speech and risky behavior during a pandemic (Centre for Economic Policy Research, London, 2020).

2. Allcott, Hunt et al. Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic. J. Pub. Econ. 191, 104254 (2020).

3. Anderson, R. M., Heesterbeek, H., Klinkenberg, D. & Hollingsworth, T. D. How will country-based mitigation measures influence the course of the Covid-19 epidemic?. Lancet 395, 931–934 (2020).

4. Baccini, Leonardo & Brodeur, Abel. Explaining governors’ response to the covid-19 pandemic in the united states. Am. Polit. Res. SAGE Pub. Sage CA Los. Angel. CA 49(2), 215–220 (2021).

5. Bargain, O. & Aminjonov, U. Trust and compliance to public health policies in times of COVID-19. Forthcoming J. Pub. Econ. 192, 104316 (2020).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3