Suppr超能文献

与初始死亡影响相比,新冠疫情在美国造成的初始经济损失在年龄和地域上更为广泛。

Initial economic damage from the COVID-19 pandemic in the United States is more widespread across ages and geographies than initial mortality impacts.

机构信息

Center for Health Policy, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA 94305.

Department of Economics, Massachusetts Institute of Technology, Cambridge, MA 02142.

出版信息

Proc Natl Acad Sci U S A. 2020 Nov 10;117(45):27934-27939. doi: 10.1073/pnas.2014279117. Epub 2020 Oct 20.

Abstract

The economic and mortality impacts of the COVID-19 pandemic have been widely discussed, but there is limited evidence on their relationship across demographic and geographic groups. We use publicly available monthly data from January 2011 through April 2020 on all-cause death counts from the Centers for Disease Control and Prevention and employment from the Current Population Survey to estimate excess all-cause mortality and employment displacement in April 2020 in the United States. We report results nationally and separately by state and by age group. Nationally, excess all-cause mortality was 2.4 per 10,000 individuals (about 30% higher than reported COVID deaths in April) and employment displacement was 9.9 per 100 individuals. Across age groups 25 y and older, excess mortality was negatively correlated with economic damage; excess mortality was largest among the oldest (individuals 85 y and over: 39.0 per 10,000), while employment displacement was largest among the youngest (individuals 25 to 44 y: 11.6 per 100 individuals). Across states, employment displacement was positively correlated with excess mortality (correlation = 0.29). However, mortality was highly concentrated geographically, with the top two states (New York and New Jersey) each experiencing over 10 excess deaths per 10,000 and accounting for about half of national excess mortality. By contrast, employment displacement was more geographically spread, with the states with the largest point estimates (Nevada and Michigan) each experiencing over 16 percentage points employment displacement but accounting for only 7% of the national displacement. These results suggest that policy responses may differentially affect generations and geographies.

摘要

新冠疫情对经济和死亡率的影响已被广泛讨论,但关于其在人口统计学和地理群体中的关系的证据有限。我们使用美国疾病控制与预防中心(Centers for Disease Control and Prevention)从 2011 年 1 月到 2020 年 4 月发布的所有死因死亡人数的公开月度数据和当前人口调查(Current Population Survey)的就业数据,来估计美国 2020 年 4 月超额全因死亡率和就业岗位流失率。我们在全国范围内以及按州和年龄组分别报告结果。在全国范围内,超额全因死亡率为每 10000 人 2.4 人(比 4 月报告的 COVID 死亡人数高出约 30%),就业岗位流失率为每 100 人 9.9 人。在 25 岁及以上的所有年龄组中,超额死亡率与经济损失呈负相关;在最年长的人群(85 岁及以上的人群:39.0 人/每 10000 人)中,超额死亡率最大,而在最年轻的人群(25 至 44 岁的人群:11.6 人/每 100 人)中,就业岗位流失率最大。在各州之间,就业岗位流失率与超额死亡率呈正相关(相关系数=0.29)。然而,死亡率在地理上高度集中,前两个州(纽约州和新泽西州)每个州的超额死亡人数都超过每 10000 人 10 人,占全国超额死亡人数的一半左右。相比之下,就业岗位流失在地理上分布更广,估计值最大的两个州(内华达州和密歇根州)每个州的就业岗位流失率都超过 16 个百分点,但仅占全国流失率的 7%。这些结果表明,政策应对措施可能会对代际和地理产生不同的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dc7/7668078/09dd02024dbe/pnas.2014279117fig01.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验