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2020年3月至2022年2月新冠疫情期间美国各县的月度超额死亡率。

Monthly excess mortality across counties in the United States during the Covid-19 pandemic, March 2020 to February 2022.

作者信息

Paglino Eugenio, Lundberg Dielle J, Zhou Zhenwei, Wasserman Joe A, Raquib Rafeya, Luck Anneliese N, Hempstead Katherine, Bor Jacob, Preston Samuel H, Elo Irma T, Stokes Andrew C

机构信息

Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA.

Department of Global Health, Boston University School of Public Health, Boston, MA.

出版信息

medRxiv. 2022 Nov 21:2022.04.23.22274192. doi: 10.1101/2022.04.23.22274192.

DOI:10.1101/2022.04.23.22274192
PMID:35547848
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9094106/
Abstract

Excess mortality is the difference between expected and observed mortality in a given period and has emerged as a leading measure of the overall impact of the Covid-19 pandemic that is not biased by differences in testing or cause-of-death assignment. Spatially and temporally granular estimates of excess mortality are needed to understand which areas have been most impacted by the pandemic, evaluate exacerbating and mitigating factors, and inform response efforts, including allocating resources to affected communities. We estimated all-cause excess mortality for the United States from March 2020 through February 2022 by county and month using a Bayesian hierarchical model trained on data from 2015 to 2019. An estimated 1,159,580 excess deaths occurred during the first two years of the pandemic (first: 620,872; second: 538,708). Overall, excess mortality decreased in large metropolitan counties, but increased in nonmetro counties, between the first and second years of the pandemic. Despite the initial concentration of mortality in large metropolitan Northeast counties, beginning in February 2021, nonmetro South counties had the highest cumulative relative excess mortality. These results highlight the need for investments in rural health as the pandemic's disproportionate impact on rural areas continues to grow.

摘要

超额死亡率是指特定时期内预期死亡率与观察到的死亡率之间的差异,已成为衡量新冠疫情总体影响的主要指标,不受检测差异或死因判定差异的影响。需要对超额死亡率进行时空粒度估计,以了解哪些地区受疫情影响最大,评估加剧和缓解因素,并为应对措施提供信息,包括向受影响社区分配资源。我们使用基于2015年至2019年数据训练的贝叶斯分层模型,按县和月份估计了2020年3月至2022年2月美国的全因超额死亡率。在疫情的头两年估计发生了1159580例超额死亡(第一年:620872例;第二年:538708例)。总体而言,在疫情的第一年和第二年之间,大都市县的超额死亡率下降,但非大都市县的超额死亡率上升。尽管死亡率最初集中在东北部的大都市县,但从2021年2月开始,南部非大都市县的累计相对超额死亡率最高。这些结果凸显了投资农村卫生的必要性,因为疫情对农村地区的不成比例影响仍在不断扩大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/ef0288d33540/nihpp-2022.04.23.22274192v4-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/5ea93aba7508/nihpp-2022.04.23.22274192v4-f0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/8c6cf8bd6f7a/nihpp-2022.04.23.22274192v4-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/95f7518f7f42/nihpp-2022.04.23.22274192v4-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/c535a7cb27ee/nihpp-2022.04.23.22274192v4-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/f03b2dd17c1d/nihpp-2022.04.23.22274192v4-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/ef0288d33540/nihpp-2022.04.23.22274192v4-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/5ea93aba7508/nihpp-2022.04.23.22274192v4-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/602ad6b7d27d/nihpp-2022.04.23.22274192v4-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/1d1f0ea9ddf2/nihpp-2022.04.23.22274192v4-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/8c6cf8bd6f7a/nihpp-2022.04.23.22274192v4-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/95f7518f7f42/nihpp-2022.04.23.22274192v4-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/c535a7cb27ee/nihpp-2022.04.23.22274192v4-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/f03b2dd17c1d/nihpp-2022.04.23.22274192v4-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d3/9749539/ef0288d33540/nihpp-2022.04.23.22274192v4-f0008.jpg

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