Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries

The Coronavirus Disease 2019 (COVID-19) pandemic has changed many social, economic, environmental and healthcare determinants of health. We applied an ensemble of 16 Bayesian models to vital statistics data to estimate the all-cause mortality effect of the pandemic for 21 industrialized countries. F...

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Veröffentlicht in:	Nature medicine 2020-12, Vol.26 (12), p.1919-1928
Hauptverfasser:	Kontis, Vasilis, Bennett, James E., Rashid, Theo, Parks, Robbie M., Pearson-Stuttard, Jonathan, Guillot, Michel, Asaria, Perviz, Zhou, Bin, Battaglini, Marco, Corsetti, Gianni, McKee, Martin, Di Cesare, Mariachiara, Mathers, Colin D., Ezzati, Majid
Format:	Artikel
Sprache:	eng
Schlagworte:	692/700/478 706/648/453 Australia Bayesian analysis Biomedical and Life Sciences Biomedicine Cancer Research Casualties Cause of Death - trends Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - mortality Demographic aspects Demography Developed Countries - statistics & numerical data Epidemics Fatalities Female Geography Health aspects Health care Humans Industrial Development - statistics & numerical data Industrial nations Infectious Diseases Male Mathematical models Men Metabolic Diseases Molecular Medicine Mortality Mortality - trends Neurosciences New Zealand Pandemics Population Density Population Dynamics - statistics & numerical data Population Dynamics - trends Public Policy Resilience SARS-CoV-2 - physiology Statistical analysis Statistics Time Factors Viral diseases Vital statistics
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