COVID-19 Morbidity and Mortality Factors

An International Comparison

Authors

  • Yuval Arbel Western Galilee College https://orcid.org/0000-0003-4365-6280
  • Chaim Fialkoff Hebrew University of Jerusalem, Jerusalem
  • Amichai Kerner Netanya Academic College, Netanya
  • Miryam Kerner Technion, Israel Institute of Technology, Haifa and HaEmek Medical Center, Afula

DOI:

https://doi.org/10.18335/region.v10i3.455

Abstract

This study investigates the scope of morbidity and mortality from SARS-COV2 virus at a country-wide level based on three central risk factors: population density, median age, and per capita hospital beds. Given that the relative weight following a change in equal units of measurement has not been examined on a country-wide level, we use empirical models with standardized coefficients. Information for this study was obtained from the World Health Organization (WHO) data base, which encompasses 162 countries, and spans five continents from January 22, 2020, to January 21, 2022. Referring to projected COVID-19 infection and mortality rates, and following a one standard deviation increase, the influence of these independent variables may be ranked as follows: Infection -- 1) the median age of the country's population; 2) number of hospital beds per thousand persons; 3) population density. Mortality -- 1) the median age of the country's population; 2) population density; 3) number of hospital beds per thousand persons. Findings may be of assistance to public policy planners. Given the dominance of the age variable in the context of the COVID-19 pandemic, on the one hand, the allocation of resources for future pandemics should grow in countries with older population profiles (European countries). On the other hand, the emphasis in countries with younger populations (African countries) should be on better medical infrastructure in sparser regions.

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Published

2023-08-27

How to Cite

Arbel, Y., Fialkoff, C., Kerner, A. and Kerner, M. (2023) “COVID-19 Morbidity and Mortality Factors: An International Comparison”, REGION. Vienna, Austria, 10(3), pp. 31–44. doi: 10.18335/region.v10i3.455.

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