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

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.

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Publication Details

Journal
Spatial and Spatio-temporal Epidemiology
Published
2024-10-24
DOI
https://doi.org/10.1016/j.sste.2024.100697
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.40
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article

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

Rolf Weitkunat, Frank Rühli, Olivia Keiser, Katarina L. Matthes et al.
1 citations
Spatial and Spatio-temporal Epidemiology
COVID-19 epidemiological studies
0.40
article

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

Rolf Weitkunat, Frank Rühli, Olivia Keiser, Katarina L. Matthes, Aziza Merzouki, Christoph Junker, Joël Floris, Kaspar Staub
article en
1 citations

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.

Spatial and Spatio-temporal EpidemiologyVol. 51
University of Geneva (CH), Federal Statistical Office (CH), University of Zurich (CH), Swiss School of Public Health (CH), Institut de Biologia Evolutiva (ES)
Good health and well-being
Openalex Percentile: Top 40%
COVID-19 epidemiological studies
0.40
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