Country-specific determinants for COVID-19 case fatality rate and response strategies from a global perspective: an interpretable machine learning framework.

Journal: Population health metrics
PMID: 38831424

Abstract

BACKGROUND: There are significant geographic inequities in COVID-19 case fatality rates (CFRs), and comprehensive understanding its country-level determinants in a global perspective is necessary. This study aims to quantify the country-specific risk of COVID-19 CFR and propose tailored response strategies, including vaccination strategies, in 156 countries.

Authors

  • Cui Zhou
    Vanke School of Public Health, Tsinghua University, Beijing, China.
  • Åsa M Wheelock
    Respiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institutet, Karolinska Institutet, Slona, 171 65, Stockholm, Sweden.
  • Chutian Zhang
    Vanke School of Public Health, Tsinghua University, Beijing, China.
  • Jian Ma
  • Zhichao Li
    School of Political Science and Public Administration, East China University of Political Science and Law, Shanghai 201620, China. 2863@ecupl.edu.cn.
  • Wannian Liang
    Vanke School of Public Health, Tsinghua University, Beijing, China. liangwn@tsinghua.edu.cn.
  • Jing Gao
    Department of Gastroenterology 3, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
  • Lei Xu
    Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.

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