Global and Temporal COVID-19 Risk Evaluation

Mudassar Arsalan, Omar Mubin, Fady Alnajjar, Belal Alsinglawi, Nazar Zaki

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a temporal layer in our modeling by incorporating the stringency level employed by each country over a period of 6 time intervals. Our results show that the indexes and level of stringency are not ideally suited for explaining variation in COVID-19 risk, however the ratio of elderly in the population is a stand out indicator in terms of its predictive power for mortality risk. In conclusion, we discuss how such modeling approaches can assist public health policy.

Original languageEnglish
Article number440
JournalFrontiers in Public Health
Volume8
DOIs
Publication statusPublished - Aug 7 2020

Keywords

  • COVID-19
  • infectious disease vulnerability index
  • inform index
  • mortality risk evaluation
  • public health

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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