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瑞士各地区 1890 年、1918 年和 2020 年大流行期间全因超额死亡率的空间模式。

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

机构信息

Institute of Global Health, University of Geneva, Geneva, Switzerland; Institute of Evolutionary Medicine, University of Zurich, Switzerland.

Institute of Evolutionary Medicine, University of Zurich, Switzerland; Department of History, University of Zurich, Switzerland.

出版信息

Spat Spatiotemporal Epidemiol. 2024 Nov;51:100697. doi: 10.1016/j.sste.2024.100697. Epub 2024 Oct 24.

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.

摘要

每种大流行病都嵌入在特定的时空背景中。然而,在以往的研究中,空间模式几乎只在单一的大流行病背景下才会被考虑到。到目前为止,很少有研究考虑大流行病之间的空间相似性或差异性。在这项研究中,使用贝叶斯空间疾病制图模型来估计 1890 年、1918 年和 2020 年大流行病的超额死亡率。稳健的线性回归用于评估生态决定因素与超额死亡率之间的关系。在每个大流行病中,瑞士各地都观察到了超额死亡率的空间变化,但大流行病之间的空间模式有所不同。不同的决定因素会导致超额死亡率,而这些因素在 COVID-19 和之前的大流行病之间存在差异。COVID-19 导致的空间超额死亡率可能主要是由于文化和社会经济地位的差异,而在历史大流行病中,流动性、先前存在的结核病或偏远山区生活可能导致了空间上的超额死亡率。

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