The Amplifying Effect of Conflicts on Case Fatality Rate of COVID-19: Evidence From 120 Countries

被引:9
|
作者
Zhai, Yonghui [1 ]
Jiang, Dayang [2 ]
Gozgor, Giray [3 ]
Cho, Eunho [4 ]
机构
[1] Henan Normal Univ, Sch Business, Xinxiang, Henan, Peoples R China
[2] Tianjin Univ Commerce, Sch Econ, Tianjin, Peoples R China
[3] Istanbul Medeniyet Univ, Fac Polit Sci, Istanbul, Turkey
[4] North Carolina Agr & Tech State Univ, Accounting & Finance Dept, Greensboro, NC USA
关键词
COVID-19; pandemic; case fatality rate; mortality risk; armed conflicts; machine learning estimator; GLOBALIZATION; INDEX;
D O I
10.3389/fpubh.2021.681604
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Using the COVID-19 database of Johns Hopkins University, this study examines the determinants of the case fatality rate of COVID-19. We consider various potential determinants of the mortality risk of COVID-19 in 120 countries. The Ordinary Least Squares (OLS) and the Kernel-based Regularized Least Squares (KRLS) estimations show that internal and external conflicts are positively related to the case fatality rates. This evidence is robust to the exclusion of countries across different regions. Thus, the evidence indicates that conflict may explain significant differences in the case fatality rate of COVID-19 across countries.
引用
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页数:7
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