Societal and economic factors associated with COVID-19 indicate that developing countries could suffer the most

Alessandro Maria Selvitella () and Kathleen Lois Foster ()
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Alessandro Maria Selvitella: Purdue University Fort Wayne
Kathleen Lois Foster: Department of Biology, Ball State University

Technium Social Sciences Journal, 2020, vol. 10, issue 1, 637-644

Abstract: Most of the research related to the COVID-19 pandemic deals with the biological and epidemiological factors which have driven the spread of the coronavirus around the globe. In this paper, we analyse how societal and economic variates relate to the number of cases and deaths across countries, via machine learning methods. Our findings recommend focusing our attention on  developing  countries  where  the  healthcare  system might suffer the most.

Keywords: COVID-19; socio-economic determinants; explainability; variable selection; LASSO (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:v:10:y:2020:i:1:p:637-644

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