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

Author

Listed:
  • Alessandro Maria Selvitella

    (Purdue University Fort Wayne)

  • Kathleen Lois Foster

    (Department of Biology, Ball State University)

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.

Suggested Citation

  • Alessandro Maria Selvitella & Kathleen Lois Foster, 2020. "Societal and economic factors associated with COVID-19 indicate that developing countries could suffer the most," Technium Social Sciences Journal, Technium Science, vol. 10(1), pages 637-644, August.
    • Handle: RePEc:tec:journl:v:10:y:2020:i:1:p:637-644
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    References listed on IDEAS

    as
    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Joe Hilton & Matt J Keeling, 2020. "Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-10, July.
    3. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    COVID-19; socio-economic determinants; explainability; variable selection; LASSO;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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