Publication
Title
COVID-19 mortality, excess mortality, deaths per million and infection fatality ratio, Belgium, 9 March 2020 to 28 June 2020
Author
Abstract
Background COVID-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. Aim We 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. Methods The 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. Results In 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. Discussion During 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.
Language
English
Source (journal)
Eurosurveillance : European communicable disease bulletin / European Communities. Commission; Communautés européennes. Commission. - Saint-Maurice, 1995, currens
Publication
Saint-Maurice : 2022
ISSN
1025-496X [print]
1560-7917 [online]
DOI
10.2807/1560-7917.ES.2022.27.7.2002060
Volume/pages
27 :7 (2022) , 10 p.
Article Reference
2002060
ISI
000760331100003
Pubmed ID
35177167
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Epidemic intelligence to minimize 2019-nCoV's public health, economic and social impact in Europe (EpiPose).
Realistic forecasting, control and preparedness for coming COVID-19 waves (RESTORE).
The stride towards health economic evaluation with individual-based models integrating transmission dynamics, stochasticity and uncertainty.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier c:irua:186348
Creation 01.03.2022
Last edited 03.10.2024
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