Aggregation of mortality data by place and cause mask underlying trends in COVID-19 excess mortality
· 2026-09-08 · 原文
DOI：10.64898/2026.09.04.26362260v1?rss=1
Difficulties ascertaining the true burden of infection and mortality from SARS-CoV-2 hindered disease surveillance and healthcare resource allocation throughout the COVID-19 pandemic. Although all-cause excess mortality estimates have long been deployed to avoid the challenges of case detection when testing availability is variable, aggregation of mortality by cause of death and spatial unit may mask underlying patterns and hide underlying associations with social factors. Furthermore, some noinfectious causes of death may have decreased during the pandemic, resulting in all-cause excess mortality capturing a net pandemic effect rather than the direct burden of Covid-19. Using mortality data in the state of Michigan from January 2015 - November 2019, we calculated the expected mortality fo
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1. 人话版
Difficulties ascertaining the true burden of infection and mortality from SARS-CoV-2 hindered disease surveillance and healthcare resource allocation throughout the COVID-19 pandemic.
Although all-cause excess mortality estimates have long been deployed to avoid the challenges of case detection when testing availability is variable, aggregation of mortality by cause of death and spatial unit may mask underlying patterns and hide underlying associations with social factors.
2. 领域脉络
来源板块：板块一 · 研究前沿。
3. 机制拆解
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4. 证据与数字
Furthermore, some noinfectious causes of death may have decreased during the pandemic, resulting in all-cause excess mortality capturing a net pandemic effect rather than the direct burden of Covid-19.
Using mortality data in the state of Michigan from January 2015 - November 2019, we calculated the expected mortality fo
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