Suppr超能文献

《COVID-19 社区脆弱性指数在解释 COVID-19 死亡病例方面的有效性》。

Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths.

机构信息

Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, United States.

School of Public Health, University of Illinois at Chicago, Chicago, IL, United States.

出版信息

Front Public Health. 2022 Sep 23;10:953198. doi: 10.3389/fpubh.2022.953198. eCollection 2022.

Abstract

OBJECTIVES

To explore the effectiveness of a COVID-19 specific social vulnerability index, we examined the relative importance of four COVID-19 specific themes and three general themes of the COVID-19 Community Vulnerability Index (CCVI) in explaining COVID-19 mortality rates in Cook County, Illinois.

METHODS

We counted COVID-19 death records from the Cook County Medical Examiner's Office, geocoded incident addresses by census tracts, and appended census tracts' CCVI scores. Negative binomial regression and Random Forest were used to examine the relative importance of CCVI themes in explaining COVID-19 mortality rates.

RESULTS

COVID-19 specific Themes 6 (High risk environments) and 4 (Epidemiological factors) were the most important in explaining COVID-19 mortality (incidence rate ratio (IRR) = 6.80 and 6.44, respectively), followed by a general Theme 2 (Minority status & language, IRR = 3.26).

CONCLUSION

The addition of disaster-specific indicators may improve the accuracy of social vulnerability indices. However, variance for Theme 6 was entirely from the long-term care resident indicator, as the other two indicators were constant at the census tract level. Thus, CCVI should be further refined to improve its effectiveness in identifying vulnerable communities. Also, building a more robust local data infrastructure is critical to understanding the vulnerabilities of local places.

摘要

目的

为了探索 COVID-19 特定社会脆弱性指数的有效性,我们研究了 COVID-19 社区脆弱性指数(CCVI)中的四个 COVID-19 特定主题和三个一般主题在解释伊利诺伊州库克县 COVID-19 死亡率方面的相对重要性。

方法

我们统计了库克县法医办公室的 COVID-19 死亡记录,通过普查区对事件地址进行地理编码,并附加普查区的 CCVI 得分。使用负二项回归和随机森林来检验 CCVI 主题在解释 COVID-19 死亡率方面的相对重要性。

结果

COVID-19 特定主题 6(高风险环境)和 4(流行病学因素)在解释 COVID-19 死亡率方面最为重要(发病率比 (IRR) 分别为 6.80 和 6.44),其次是一般主题 2(少数族裔地位和语言,IRR = 3.26)。

结论

增加灾难特定指标可能会提高社会脆弱性指数的准确性。然而,主题 6 的方差完全来自长期护理居民指标,因为其他两个指标在普查区层面是恒定的。因此,CCVI 应该进一步细化,以提高其识别脆弱社区的效果。此外,建立更强大的本地数据基础设施对于了解本地的脆弱性至关重要。

相似文献

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