Magnitude and Determinants of Mortalities Related to COVID-19:Evidence from 94 Countries Using Regression Techniques

作     者：Ashis Kumar Pradhan Ronny Thomas Sandhyarani Rout Alok Kumar Pradhan 

作者机构：Department of Humanities and Social SciencesMaulana Azad National Institute of TechnologyBhopalMadhya PradeshIndia Rajagiri Business School(RBS)and Rajagiri College of Social Sciences(RCSS)Rajagiri Valley CampusKakkanadKochiKeralaIndia Department of Social ScienceFakir Mohan UniversityBalasoreOdishaIndia Indian Institute of Management NagpurDahegaonIndia 

出 版 物：《Fudan Journal of the Humanities and Social Sciences》 (复旦人文社会科学论丛（英文版）)

年 卷 期：2022年第15卷第4期

页      面：475-499页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：This research is supported by a seed money Grant provided by Maulana Azad National Institute of Technology Bhopal under the Grant No.:DeanR&C/1420 

主　　题：COVID-19 deaths Mortality risks Infectious diseases LASSO regression Pandemic 

摘      要：This study attempts to investigate the factors determining COVID-19 deaths during the pandemic across countries by employing a rich dataset sourced from 94 countries updated till 6 February,*** empirical analysis,the study makes use of cross-sectional linear regression technique in the first part and after required diagnostic tests use 2SLS regression technique for correcting possible endogeneity bias in the second *** from the study indicate that factors like total reported cases,population size,population over 70 years of age,extreme poverty,and human development index play significant role in determining COVID-19-related ***,to check the robustness of the findings the present study employed LASSO *** from the study highlight the possibility of government intervention to devise appropriate policies to control COVID-related incidence and death.