Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in Belgium

Main Article Content

Johan Verbeeck Maxime Fajgenblat Lander Willem Thomas Neyens Christel Faes Niel Hens Patrick Deboosere Geert Verbeke Geert Molenberghs

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

Article Details

How to Cite
VERBEECK, Johan et al. Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in Belgium. Medical Research Archives, [S.l.], v. 10, n. 9, sep. 2022. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/3077>. Date accessed: 22 july 2024. doi: https://doi.org/10.18103/mra.v10i9.3077.
Section
Research Articles

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