Population-Level Disease Prevalence Rates Correlate With COVID-19 Mortality.

Q3 Medicine

Wisconsin Medical Journal Pub Date : 2023-05-01

George L Morris

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引用次数: 0

Abstract

Introduction: Initial reports identified preexisting conditions associated with COVID-19 mortality risk. The Centers for Disease Control and Prevention (CDC) 500 Cities Project provides prevalence rate estimates at the census tract level for these conditions. The frequency of these individual condition prevalence rates may associate with the census tracts with greater risk of COVID-19 deaths.

Objective/research question: Can the census tract-level outcome of Milwaukee County COVID-19 death rates correlate with the census tract-level COVID-19 individual mortality risk condition prevalence rates?

Methods: This study used the 296 Milwaukee County, Wisconsin census tracts' COVID-19 death rates per 100,000 lives to perform a linear regression with individual COVID-19 mortality risk condition prevalence rates, obtained from the CDC's 500 Cities Project, and a multiple regression with 7 condition prevalence rates. The Milwaukee County Medical Examiner provided census tract identified deaths from COVID-19 from March 2020 through May 2020. Crude death rates for these 3 months per 100,000 population were analyzed in a multiple linear regression versus prevalence rates for these conditions in each census tract.

Results: There were 295 assessable COVID-19-related deaths in Milwaukee County in early 2020. The model of crude death rates showed statistical significance with the condition prevalence rates in Milwaukee County. A regression analysis of each condition's prevalence rate showed no association with crude death rates.

Conclusions: This study supports a correlation between high COVID-19 mortality rate census tracts and prevalence rate estimates of conditions associated with high individual COVID-19 mortality rates. The study is limited by the small COVID-19 death sample and the use of a single location. The ability to focus COVID-19 health promotion may save future lives if mitigation strategies are applied extensively in these neighborhoods.

本刊更多论文

人口水平疾病患病率与COVID-19死亡率相关

初步报告确定了与COVID-19死亡风险相关的既往疾病。疾病控制和预防中心(CDC) 500个城市项目提供了这些疾病在人口普查区一级的患病率估计。这些个体疾病患病率的频率可能与COVID-19死亡风险较高的人口普查区有关。目的/研究问题:密尔沃基县人口普查区水平的COVID-19死亡率结果是否与人口普查区水平的COVID-19个体死亡风险状况患病率相关?方法:本研究利用威斯康辛州密尔沃基县296个人口普查区每10万人的COVID-19死亡率，与CDC 500个城市项目中获得的个体COVID-19死亡风险状况患病率进行线性回归，并对7种状况患病率进行多元回归。密尔沃基县法医提供了2020年3月至2020年5月期间因COVID-19死亡的人口普查区。采用多元线性回归分析了这3个月每10万人的粗死亡率与每个人口普查区这些疾病的患病率。结果:2020年初，密尔沃基县有295例可评估的covid -19相关死亡病例。粗死亡率模型与密尔沃基县疾病患病率有统计学意义。对每种疾病患病率的回归分析显示与粗死亡率没有关联。结论:本研究支持高COVID-19死亡率人口普查区与高个体COVID-19死亡率相关疾病的患病率估计值之间的相关性。这项研究受到COVID-19死亡样本小和使用单一地点的限制。如果在这些社区广泛应用缓解战略，重点关注COVID-19健康促进的能力可能会挽救未来的生命。

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

Wisconsin Medical Journal Medicine-Medicine (all)

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： The Wisconsin Medical Society is the largest association of medical doctors in the state with more than 12,000 members dedicated to the best interests of their patients. With that in mind, wisconsinmedicalsociety.org offers patients a unique source for reliable, physician-reviewed medical information. The Wisconsin Medical Society has been a trusted source for health policy leadership since 1841.