National case fatality rates of the COVID-19 pandemic

The case fatality rate (CFR) of coronavirus disease 2019 (COVID-19) varies significantly between countries. We aimed to describe the associations between health indicators and the national CFRs of COVID-19. We identified for each country health indicators potentially associated with the national CFR...

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Vydáno v:Clinical microbiology and infection Ročník 27; číslo 1; s. 118
Hlavní autoři: Ergönül, Önder, Akyol, Merve, Tanrıöver, Cem, Tiemeier, Henning, Petersen, Eskild, Petrosillo, Nicola, Gönen, Mehmet
Médium: Journal Article
Jazyk:angličtina
Vydáno: England 01.01.2021
Témata:
Adult
Age Factors
Aged
Americas - epidemiology
Australia - epidemiology
Comorbidity
COVID-19 - diagnosis
COVID-19 - epidemiology
COVID-19 - mortality
COVID-19 - pathology
COVID-19 Testing - statistics & numerical data
Europe - epidemiology
Female
Hospital Bed Capacity - statistics & numerical data
Humans
Japan - epidemiology
Male
Middle Aged
Obesity - diagnosis
Obesity - epidemiology
Obesity - mortality
Obesity - pathology
Population Density
Rural Population
SARS-CoV-2 - pathogenicity
Severity of Illness Index
Time Factors
Tuberculosis, Pulmonary - diagnosis
Tuberculosis, Pulmonary - epidemiology
Tuberculosis, Pulmonary - mortality
Tuberculosis, Pulmonary - pathology
Urban Population
Americas
Australia
Europe
Japan
COVID-19
Case fatality rate
SARS-CoV-2
Epidemiologic
Health indicators
ISSN:1469-0691, 1469-0691
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Shrnutí:The case fatality rate (CFR) of coronavirus disease 2019 (COVID-19) varies significantly between countries. We aimed to describe the associations between health indicators and the national CFRs of COVID-19. We identified for each country health indicators potentially associated with the national CFRs of COVID-19. We extracted data for 18 variables from international administrative data sources for 34 member countries of the Organization for Economic Cooperation and Development (OECD). We excluded the collinear variables and examined the 16 variables in multivariable analysis. A dynamic web-based model was developed to analyse and display the associations for the CFRs of COVID-19. We followed the Guideline for Accurate and Transparent Health Estimates Reporting (GATHER). In multivariable analysis, the variables significantly associated with the increased CFRs were percentage of obesity in ages >18 years (β = 3.26; 95%CI = 1.20, 5.33; p 0.003), tuberculosis incidence (β = 3.15; 95%CI = 1.09, 5.22; p 0.004), duration (days) since first death due to COVID-19 (β = 2.89; 95%CI = 0.83, 4.96; p 0.008), and median age (β = 2.83; 95%CI = 0.76, 4.89; p 0.009). The COVID-19 test rate (β = -3.54; 95%CI = -5.60, -1.47; p 0.002), hospital bed density (β = -2.47; 95%CI = -4.54, -0.41; p 0.021), and rural population ratio (β = -2.19; 95%CI = -4.25, -0.13; p 0.039) decreased the CFR. The pandemic hits population-dense cities. Available hospital beds should be increased. Test capacity should be increased to enable more effective diagnostic tests. Older patients and patients with obesity and their caregivers should be warned about a potentially increased risk.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1469-0691
1469-0691
DOI:10.1016/j.cmi.2020.09.024