COVID-19 mortality, excess mortality, deaths per million and infection fatality ratio, Belgium, 9 March 2020 to 28 June 2020.

COVID-19 Deaths per Million COVID-19 Mortality Excess mortality Infection Fatality Ratio

Journal

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
ISSN: 1560-7917
Titre abrégé: Euro Surveill
Pays: Sweden
ID NLM: 100887452

Informations de publication

Date de publication:
02 2022
Historique:
entrez: 18 2 2022
pubmed: 19 2 2022
medline: 24 2 2022
Statut: ppublish

Résumé

BackgroundCOVID-19 mortality, excess mortality, deaths per million population (DPM), infection fatality ratio (IFR) and case fatality ratio (CFR) are reported and compared for many countries globally. These measures may appear objective, however, they should be interpreted with caution.AimWe examined reported COVID-19-related mortality in Belgium from 9 March 2020 to 28 June 2020, placing it against the background of excess mortality and compared the DPM and IFR between countries and within subgroups.MethodsThe relation between COVID-19-related mortality and excess mortality was evaluated by comparing COVID-19 mortality and the difference between observed and weekly average predictions of all-cause mortality. DPM were evaluated using demographic data of the Belgian population. The number of infections was estimated by a stochastic compartmental model. The IFR was estimated using a delay distribution between infection and death.ResultsIn the study period, 9,621 COVID-19-related deaths were reported, which is close to the excess mortality estimated using weekly averages (8,985 deaths). This translates to 837 DPM and an IFR of 1.5% in the general population. Both DPM and IFR increase with age and are substantially larger in the nursing home population.DiscussionDuring the first pandemic wave, Belgium had no discrepancy between COVID-19-related mortality and excess mortality. In light of this close agreement, it is useful to consider the DPM and IFR, which are both age, sex, and nursing home population-dependent. Comparison of COVID-19 mortality between countries should rather be based on excess mortality than on COVID-19-related mortality.

Identifiants

pubmed: 35177167
doi: 10.2807/1560-7917.ES.2022.27.7.2002060
pmc: PMC8855510
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Geert Molenberghs (G)

Data Science Institute, I-BioStat, Universiteit Hasselt, Hasselt, Belgium.
I-BioStat, KU Leuven, Leuven, Belgium.

Christel Faes (C)

Data Science Institute, I-BioStat, Universiteit Hasselt, Hasselt, Belgium.

Johan Verbeeck (J)

Data Science Institute, I-BioStat, Universiteit Hasselt, Hasselt, Belgium.

Patrick Deboosere (P)

Interface Demography (ID), Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.

Steven Abrams (S)

Data Science Institute, I-BioStat, Universiteit Hasselt, Hasselt, Belgium.
Global Health Institute (GHI), Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium.

Lander Willem (L)

Centre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.

Jan Aerts (J)

Data Science Institute, I-BioStat, Universiteit Hasselt, Hasselt, Belgium.

Heidi Theeten (H)

Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.

Brecht Devleesschauwer (B)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.
Department of Translational Physiology, Infectiology and Public Health, Ghent University, Ghent, Belgium.

Natalia Bustos Sierra (N)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Françoise Renard (F)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Sereina Herzog (S)

Centre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.

Patrick Lusyne (P)

Statistics Belgium, Brussels, Belgium.

Johan Van der Heyden (J)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Herman Van Oyen (H)

Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Pierre Van Damme (P)

Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.

Niel Hens (N)

Data Science Institute, I-BioStat, Universiteit Hasselt, Hasselt, Belgium.
Centre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.

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