Spatial pattern of all cause excess mortality in Swiss districts during the pandemic years 1890, 1918 and 2020

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Katarina L Matthes , Joël Floris , Aziza Merzouki , Christoph Junker , Rolf Weitkunat , Frank Rühli , Olivia Keiser , Kaspar Staub
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引用次数: 0

Abstract

Every pandemic is embedded in specific spatial and temporal context. However, spatial patterns have almost always only been considered in the context of one individual pandemic. Until now, there has been limited consideration of spatial similarities or differences between pandemics. In this study, Bayesian spatial models for disease mapping were used to estimate excess mortality for the pandemics of 1890, 1918 and 2020. A robust linear regression was used to assess the association between ecological determinants and excess mortality. Spatial variations of excess mortality across Switzerland were observed in each pandemic, but the spatial patterns differ between the pandemics. Different determinants contribute to excess mortality, and these factors vary between COVID-19 and the previous pandemics. Spatial excess mortality from COVID-19 is most likely due to cultural and SEP differences, whereas in historical pandemics, mobility, pre-existing tuberculosis or remote mountain living likely contributed to spatial excess mortality.
1890 年、1918 年和 2020 年大流行期间瑞士各地区各种原因超额死亡率的空间模式
每一种大流行病都有其特定的时空背景。然而,空间模式几乎总是只在单个大流行的背景下被考虑。到目前为止,对不同大流行之间空间相似性或差异性的考虑还很有限。本研究采用贝叶斯疾病绘图空间模型来估算 1890 年、1918 年和 2020 年大流行的超额死亡率。采用稳健线性回归评估生态决定因素与超额死亡率之间的关联。在每一次大流行中,都观察到瑞士各地超额死亡率的空间变化,但不同大流行的空间模式有所不同。不同的决定因素导致了超额死亡率,而这些因素在 COVID-19 和之前的大流行中各不相同。COVID-19 造成的空间死亡率过高很可能是由于文化和公共教育部的差异造成的,而在以往的大流行中,流动性、原有肺结核或偏远山区生活很可能是造成空间死亡率过高的原因。
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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