Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/44696
Title: Unraveling the impact of the COVID-19 pandemic on the mortality trends in Belgium between 2020-2022
Authors: NATALIA, Yessika 
VERBEECK, Johan 
FAES, Christel 
NEYENS, Thomas 
MOLENBERGHS, Geert 
Issue Date: 2024
Publisher: BMC
Source: BMC Public Health, 24 (1) (Art N° 2916)
Abstract: BackgroundOver the past four years, the COVID-19 pandemic has exerted a profound impact on public health, including on mortality trends. This study investigates mortality patterns in Belgium by examining all-cause mortality, excess mortality, and cause-specific mortality. MethodsWe retrieved all-cause mortality data from January 1, 2009, to December 31, 2022, stratified by age group and sex. A linear mixed model, informed by all-cause mortality from 2009 to 2019, was used to predict non-pandemic all-cause mortality rates in 2020-2022 and estimate excess mortality. Further, we also analyzed trends in cause-specific and premature mortality. ResultsDifferent all-cause mortality patterns could be observed between the younger (<45 years) and older age groups. The impact of the COVID-19 pandemic was particularly evident among older age groups. The highest excess mortality occurred in 2020, while a reversal in this trend was evident in 2022. We observed a notable effect of COVID-19 on cause-specific and premature mortality patterns over the three-year period. ConclusionsDespite a consistent decline in COVID-19 reported mortality over this three-year period, it remains imperative to meticulously monitor mortality trends in the years ahead.
Notes: Natalia, YA (corresponding author), Hasselt Univ, Data Sci Inst, I Biostat, Hasselt, Belgium.
yessikaadelwin.natalia@uhasselt.be
Keywords: Belgium;Cause-specific mortality;COVID-19;Excess mortality;Years of life lost
Document URI: http://hdl.handle.net/1942/44696
e-ISSN: 1471-2458
DOI: 10.1186/s12889-024-20415-x
ISI #: 001339927300002
Rights: The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modifed the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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