COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data

ObjectiveTo investigate the influence of demographic and socioeconomic factors on the COVID-19 case-fatality rate (CFR) globally.DesignPublicly available register-based ecological study.SettingTwo hundred and nine countries/territories in the world.ParticipantsAggregated data including 10 445 656 co...

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Veröffentlicht in:	BMJ open Jg. 10; H. 11; S. e043560
Hauptverfasser:	Cao, Yang, Hiyoshi, Ayako, Montgomery, Scott
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England British Medical Journal Publishing Group 03.11.2020 BMJ Publishing Group LTD BMJ Publishing Group
Schriftenreihe:	Original research
Schlagworte:	Age Distribution Betacoronavirus Cardiovascular Diseases - mortality Clinical Laboratory Techniques - statistics & numerical data Communicable Disease Control - statistics & numerical data Coronavirus Infections - diagnosis Coronavirus Infections - mortality Coronaviruses COVID-19 COVID-19 Testing Datasets Diabetes Diabetes Mellitus - epidemiology Disease prevention Epidemiology Estimates Fatalities Gross Domestic Product - statistics & numerical data Health Policy Health Status Indicators Humans Life Expectancy Mortality Pandemics Pneumonia, Viral - mortality Population Population Density Prevalence Public health Regression analysis Risk factors SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Smoking - epidemiology Socioeconomic factors Spatial Analysis Spatial Regression Variables China COVID-19 epidemiology public health
ISSN:	2044-6055, 2044-6055
Online-Zugang:	Volltext
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