Coronavirus disease 2019 (COVID-19) mortality and neighborhood characteristics in Chicago.

Coronavirus disease 2019 (COVID-19) mortality and neighborhood characteristics in Chicago.
复制标题

DOI:
10.1016/j.annepidem.2020.10.011
复制
发表时间:
2021-04
影响因子:
5.6
通讯作者:
Argos M
Argos M
中科院分区:
医学3区
文献类型:
--
作者:
Scannell Bryan M;Sun J;Jagai J;Horton DE;Montgomery A;Sargis R;Argos M

文献摘要

参考文献

被引文献

相似文献

描述芝加哥2019年春季冠状病毒病(新冠肺炎)死亡率,并在人口普查区域层面确定与较高新冠肺炎死亡率相关的社区特征。使用泊松回归和正则化线性回归(弹性网),我们评估了社区特征与7月22日芝加哥新冠肺炎死亡率(795个人口普查区域中2,514人死亡)之间的关联。黑人居民(占总人口的31%)占新冠肺炎死亡人数的42%。西班牙裔/拉丁裔居民的死亡年龄较小(63岁,而白人居民为71岁)。在居住环境方面,白人居民中52%的死亡发生在养老院内,相比之下,黑人居民中的死亡人数为35%,西班牙裔/拉丁裔居民中的死亡人数为17%。新冠肺炎死亡率较高的社区,社会距离障碍较高,医疗保险覆盖率较低。白人和亚裔居民比例较高的社区的新冠肺炎死亡率较低。这些关联因种族而异,这表明,在白人居民中,社区环境可能与新冠肺炎死亡率关系最为密切。我们描述了可能受益于支持性服务的社区,并确定了可能受益于有针对性的预防和检测活动以防止未来因新冠肺炎死亡的社区的特征。
To describe coronavirus disease 2019 (COVID-19) mortality in Chicago during the spring of 2020 and identify at the census-tract level neighborhood characteristics that were associated with higher COVID-19 mortality rates. Using Poisson regression and regularized linear regression (elastic net), we evaluated the association between neighborhood characteristics and COVID-19 mortality rates in Chicago through July 22 (2514 deaths across 795 populated census tracts). Black residents (31% of the population) accounted for 42% of COVID-19 deaths. Deaths among Hispanic/Latino residents occurred at a younger age (63 years, compared with 71 for white residents). Regarding residential setting, 52% of deaths among white residents occurred inside nursing homes, compared with 35% of deaths among black residents and 17% among Hispanic/Latino residents. Higher COVID-19 mortality was seen in neighborhoods with heightened barriers to social distancing and low health insurance coverage. Neighborhoods with a higher percentage of white and Asian residents had lower COVID-19 mortality. The associations differed by race, suggesting that neighborhood context may be most tightly linked to COVID-19 mortality among white residents. We describe communities that may benefit from supportive services and identify traits of communities that may benefit from targeted campaigns for prevention and testing to prevent future deaths from COVID-19.
DOI: 10.15585/mmwr.mm6915e3
发表时间: 2020-04-17
期刊: MMWR. Morbidity and mortality weekly report
影响因子: --
作者:
Garg S;Kim L;Whitaker M;O'Halloran A;Cummings C;Holstein R;Prill M;Chai SJ;Kirley PD;Alden NB;Kawasaki B;Yousey-Hindes K;Niccolai L;Anderson EJ;Openo KP;Weigel A;Monroe ML;Ryan P;Henderson J;Kim S;Como-Sabetti K;Lynfield R;Sosin D;Torres S;Muse A;Bennett NM;Billing L;Sutton M;West N;Schaffner W;Talbot HK;Aquino C;George A;Budd A;Brammer L;Langley G;Hall AJ;Fry A
通讯作者: Fry A
DOI: 10.1111/jgs.16689
发表时间: 2020-07-21
影响因子: 6.3
作者:
Li, Yue;Temkin-Greener, Helena;Cai, Xueya
通讯作者: Cai, Xueya
DOI: 10.1177/1090198120929677
发表时间: 2020-08
期刊: Health education & behavior : the official publication of the Society for Public Health Education
影响因子: --
作者:
Kim SJ;Bostwick W
通讯作者: Bostwick W
DOI: 10.1371/journal.ppat.1008570
发表时间: 2020-06-01
期刊: PLOS PATHOGENS
影响因子: 6.7
作者:
Klein, Sabra L.;Dhakal, Santosh;Mauvais-Jarvis, Franck
通讯作者: Mauvais-Jarvis, Franck
DOI: 10.1038/s43017-020-0079-1
发表时间: 2020-09-01
影响因子: 42.1
作者:
Diffenbaugh, Noah S.;Field, Christopher B.;Wong-Parodi, Gabrielle
通讯作者: Wong-Parodi, Gabrielle