Neighborhood Condition Prevalence Rates Correlate With COVID-19 Mortality in Milwaukee County, Wisconsin.

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
George L Morris
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引用次数: 0

Abstract

Purpose: We sought to determine if census tract-level (ie, neighborhood) COVID-19 death rates in Milwaukee County correlated with the census tract-level condition prevalence rates (CPRs) for individual COVID-19 mortality risk.

Methods: This study used Milwaukee County-reported COVID-19 death rates per 100,000 lives for the 296 census tracts within the county to perform a linear regression with individual COVID-19 mortality risk CPR, mean age, racial composition of census tract (by percentage of non-White residents), and poverty (by percentage within census tract), followed by multiple regression with all 7 CPRs as well as the 7 CPRs combined with the additional demographic variables. CPR estimates were accessed from the Centers for Disease Control and Prevention 500 Cities Project. Demographics were accessed from the U.S. Census. The Milwaukee County Medical Examiner's office identified 898 deaths from COVID-19 in Milwaukee County from March 2020 to June 2021.

Results: Among the variables included, crude death rate demonstrated a statistically significant association with the 7 COVID-19 mortality risk CPRs (as analyzed collectively), census tract mean age, and several of the CPRs individually. The addition of census tract age, race, and poverty in multiple regression did not improve the association of the 7 CPRs with crude death rate.

Conclusions: Results from this population-level study indicated that census tracts with high COVID-19 mortality correlated with high-risk condition prevalence estimates within those census tracts, illustrating how health data collection and analysis at a census tract level could be helpful when planning pandemic-mitigating public health efforts.

威斯康星州密尔沃基县社区状况患病率与COVID-19死亡率相关
目的:我们试图确定密尔沃基县人口普查区水平(即社区)COVID-19死亡率是否与人口普查区水平疾病患病率(CPRs)与个体COVID-19死亡风险相关。方法:本研究使用密尔沃基县报告的该县296个人口普查区每10万人的COVID-19死亡率,对个体COVID-19死亡风险CPR、平均年龄、人口普查区的种族构成(以非白人居民的百分比计算)和贫困(以人口普查区内的百分比计算)进行线性回归,然后对所有7个CPR以及7个CPR与其他人口统计学变量进行多元回归。美国疾病控制和预防中心的500个城市项目获得了CPR的估计数据。人口统计数据来自美国人口普查。密尔沃基县法医办公室确定,从2020年3月到2021年6月,密尔沃基县有898人死于COVID-19。结果:在所纳入的变量中,粗死亡率与7个COVID-19死亡风险cpr(集体分析)、人口普查区平均年龄以及个别cpr有统计学显著相关。在多元回归中加入人口普查区年龄、种族和贫困因素并没有改善7种cpr与粗死亡率的相关性。结论:这项人口水平研究的结果表明,高COVID-19死亡率的人口普查区与这些人口普查区内的高风险疾病患病率估计值相关,说明了人口普查区水平的卫生数据收集和分析如何有助于规划减轻大流行的公共卫生工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Patient-Centered Research and Reviews
Journal of Patient-Centered Research and Reviews HEALTH CARE SCIENCES & SERVICES-
自引率
5.90%
发文量
35
审稿时长
20 weeks
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