Individual and Spatial Determinants of Mortality During the Covid-19 Pandemic: The Case of Belgium in 2020

IF 2.6 2区 社会学 Q1 DEMOGRAPHY Population Space and Place Pub Date : 2025-03-17 DOI:10.1002/psp.70019
Mélanie Bourguignon, Joan Damiens, Yoann Doignon, Thierry Eggerickx, Audrey Plavsic, Jean-Paul Sanderson, Aurélie Bertrand
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Abstract

The Covid-19 pandemic marked the year 2020. In Belgium, it led to a doubling in deaths, mainly grouped into two periods. This article aims to compare the relative importance of predictors and individual and spatial determinants of mortality during these two waves to an equivalent non-pandemic period and to identify whether and to what extent the pandemic has altered the sociodemographic patterns of conventional mortality. The analyses relate to all-cause mortality during the two waves of Covid-19 and their equivalent in 2019. They are based on matching individual and exhaustive data from the Belgian National Register with tax and population census data. A multi-level approach combining individual and spatial determinants was adopted. Mortality patterns during and outside the pandemic are very similar. As in 2019, age, sex, and household composition significantly determine the individual risk of dying, with a higher risk of death among the oldest people, men, and residents of collective households. However, their risk of death increases during the Covid period, especially in the 65–79 age group. Spatial information is no more significant in 2020 than in 2019. However, a higher risk of death is observed when the local excess mortality index or the communal proportions of single-person households or disadvantaged people increase. While the Covid pandemic did not fundamentally alter conventional mortality patterns, it did amplify some of the pre-existing differences in mortality.

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Covid-19大流行期间死亡率的个体和空间决定因素:2020年比利时的案例
2019冠状病毒病大流行标志着2020年。在比利时,它导致死亡人数翻了一番,主要分为两个时期。本文旨在比较这两波期间死亡率的预测因素、个人和空间决定因素与同等的非大流行时期的相对重要性,并确定大流行是否以及在多大程度上改变了传统死亡率的社会人口模式。这些分析涉及2019年两波Covid-19期间的全因死亡率。它们的基础是将比利时国家登记处的个人和详尽数据与税收和人口普查数据相匹配。采用了个体决定因素和空间决定因素相结合的多层次方法。大流行期间和大流行之外的死亡率模式非常相似。与2019年一样,年龄、性别和家庭构成在很大程度上决定了个人死亡风险,其中年龄最大的人、男性和集体家庭居民的死亡风险更高。然而,在新冠肺炎期间,他们的死亡风险增加,尤其是65-79岁年龄组。2020年的空间信息并不比2019年更重要。然而,当当地超额死亡率指数或单身家庭或弱势群体的社区比例增加时,死亡风险就会增加。虽然新冠肺炎大流行没有从根本上改变传统的死亡率模式,但它确实放大了一些先前存在的死亡率差异。
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来源期刊
CiteScore
5.00
自引率
12.50%
发文量
87
期刊介绍: Population, Space and Place aims to be the leading English-language research journal in the field of geographical population studies. It intends to: - Inform population researchers of the best theoretical and empirical research on topics related to population, space and place - Promote and further enhance the international standing of population research through the exchange of views on what constitutes best research practice - Facilitate debate on issues of policy relevance and encourage the widest possible discussion and dissemination of the applications of research on populations - Review and evaluate the significance of recent research findings and provide an international platform where researchers can discuss the future course of population research
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