Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39343
Title: Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in Belgium
Authors: VERBEECK, Johan 
FAJGENBLAT, Maxime 
WILLEM, Lander 
NEYENS, Thomas 
FAES, Christel 
HENS, Niel 
Deboosere, Patrick
VERBEKE, Geert 
MOLENBERGHS, Geert 
Issue Date: 2022
Source: ARCHIVES OF MEDICAL RESEARCH, 10 (9)
Abstract: Excess mortality, rather than reported COVID-19 deaths has been suggested to evaluate the impact of the SARS-CoV-2 induced Corona Virus Disease (COVID-19) pandemic on mortality. However, the relationship between excess mortality and COVID-19 mortality is perturbed by seasonal phenomena, such as extreme temperatures and seasonal influenza. Models used to estimate excess mortality often ignore these underlying patterns. We propose a dynamic linear state-space model to estimate all-cause mortality, which accounts for extreme temperatures above 25°C and seasonal influenza via the Goldstein index. The state-space model prediction of the excess mortality that is not explained by heat waves and seasonal influenza coincides with the reported COVID-19 mortality in the year 2020 in Belgium.
Keywords: all-cause mortality;COVID-19;excess mortality;heat wave;seasonal influenza;state-space model
Document URI: http://hdl.handle.net/1942/39343
ISSN: 0188-4409
e-ISSN: 1873-5487
DOI: . https://doi.org/10.18103/mra. v10i9.3077
Rights: 2022 European Society of Medicine. This is an open- access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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