Geospatial patterns of excess mortality in Belgium: Insights from the first year of the COVID-19 pandemic

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Yessika Adelwin Natalia , Geert Molenberghs , Christel Faes , Thomas Neyens
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引用次数: 0

Abstract

Objectives:

Belgium experienced multiple COVID-19 waves that hit various groups in the population, which changed the mortality pattern compared to periods before the pandemic. In this study, we investigated the geographical excess mortality trend in Belgium during the first year of the COVID-19 pandemic.

Methods:

We retrieved the number of deaths and population data in 2020 based on gender, age, and municipality of residence, and we made a comparison with the mortality data in 2017–2019 using a spatially discrete model.

Results:

Excess mortality was significantly associated with age, gender, and COVID-19 incidence, with larger effects in the second half of 2020. Most municipalities had higher risks of mortality with a number of exceptions in the northeastern part of Belgium. Some discrepancies in excess mortality were observed between the north and south regions.

Conclusions:

This study offers useful insight into excess mortality and will aid local and regional authorities in monitoring mortality trends.

比利时超高死亡率的地理空间模式:COVID-19 大流行第一年的启示
目的:比利时经历了多波COVID-19疫情,不同人群均受到影响,与疫情发生前相比,死亡率模式发生了变化。方法:我们根据性别、年龄和居住城市检索了 2020 年的死亡人数和人口数据,并使用空间离散模型与 2017-2019 年的死亡率数据进行了比较。结果:超额死亡率与年龄、性别和 COVID-19 发病率显著相关,2020 年下半年的影响更大。大多数城市的死亡风险较高,但比利时东北部的一些城市例外。结论:这项研究为了解超额死亡率提供了有用的信息,有助于地方和地区当局监测死亡率趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Spatial and Spatio-Temporal Epidemiology
Spatial and Spatio-Temporal Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
5.10
自引率
8.80%
发文量
63
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