Journal of Epidemiology and Global Health

Volume 10, Issue 3, September 2020, Pages 204 - 208

Population Risk Factors for COVID-19 Mortality in 93 Countries

Authors
Muhammad Jawad Hashim1, ORCID, Ahmed R. Alsuwaidi2, Gulfaraz Khan3, *, ORCID
1Department of Family Medicine, College of Medicine and Health Sciences (Tawam Hospital Campus), United Arab Emirates University, United Arab Emirates
2Department of Pediatrics, College of Medicine and Health Sciences (Tawam Hospital Campus), United Arab Emirates University, United Arab Emirates
3Department of Medical Microbiology and Immunology, College of Medicine and Health Sciences (Tawam Hospital Campus), United Arab Emirates University, United Arab Emirates
*Corresponding author. Email: g_khan@uaeu.ac.ae
Corresponding Author
Gulfaraz Khan
Received 9 May 2020, Accepted 6 July 2020, Available Online 29 July 2020.
DOI
https://doi.org/10.2991/jegh.k.200721.001How to use a DOI?
Keywords
Novel coronavirus; SARS-CoV-2; COVID-19; epidemiology; risk factors
Abstract

Death rates due to COVID-19 pandemic vary considerably across regions and countries. Case Mortality Rates (CMR) per 100,000 population are more reliable than case-fatality rates per 100 test-positive cases, which are heavily dependent on the extent of viral case testing carried out in a country. We aimed to study the variations in CMR against population risk factors such as aging, underlying chronic diseases and social determinants such as poverty and overcrowding. Data on COVID-19 CMR in 93 countries was analyzed for associations with preexisting prevalence rates of eight diseases [asthma, lung cancer, Chronic Obstructive Pulmonary Disease (COPD), Alzheimer’s Disease (AD), hypertension, ischemic heart disease, depression and diabetes], and six socio-demographic factors [Gross Domestic Product (GDP) per capita, unemployment, age over 65 years, urbanization, population density, and socio-demographic index]. These data were analyzed in three steps: correlation analysis, bivariate comparison of countries, and multivariate modelling. Bivariate analysis revealed that COVID-19 CMR were higher in countries that had high prevalence of population risk factors such as AD, lung cancer, asthma and COPD. On multivariate modeling however, AD, COPD, depression and higher GDP predicted increased death rates. Comorbid illnesses such as AD and lung diseases may be more influential than aging alone.

Copyright
© 2020 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Epidemiology and Global Health
Volume-Issue
10 - 3
Pages
204 - 208
Publication Date
2020/07/29
ISSN (Online)
2210-6014
ISSN (Print)
2210-6006
DOI
https://doi.org/10.2991/jegh.k.200721.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Muhammad Jawad Hashim
AU  - Ahmed R. Alsuwaidi
AU  - Gulfaraz Khan
PY  - 2020
DA  - 2020/07/29
TI  - Population Risk Factors for COVID-19 Mortality in 93 Countries
JO  - Journal of Epidemiology and Global Health
SP  - 204
EP  - 208
VL  - 10
IS  - 3
SN  - 2210-6014
UR  - https://doi.org/10.2991/jegh.k.200721.001
DO  - https://doi.org/10.2991/jegh.k.200721.001
ID  - Hashim2020
ER  -