Suppr超能文献

作为新冠病毒疾病(COVID-19)死亡结果预测指标的州级公共卫生防范指数:2020年美国的结果

State-level public health preparedness indices as predictors of COVID-19 mortality outcomes: results from the United States of America in 2020.

作者信息

Boyce Matthew R

机构信息

Center for Global Health Science & Security, Georgetown University, Washington, DC, United States.

出版信息

Front Epidemiol. 2023 Dec 12;3:1229718. doi: 10.3389/fepid.2023.1229718. eCollection 2023.

Abstract

This study evaluates associations between state-level preparedness indices and reported COVID-19-related mortality outcomes in all 50 states and the District of Columbia in the United States of America during three distinct time periods throughout the first year of the COVID-19 pandemic. State-level preparedness data for the year 2019 were gathered from the National Health Security Preparedness and Trust for America's Health Indices, and COVID-19-related mortality data for March-December 2020 (i.e., excess mortality and reported COVID-19 mortality rates) were collected in May 2022. Linear regression analyses were conducted to examine associations during three distinct time periods. Statistically significant positive associations were observed between both indices and reported COVID-19 mortality rates during the first time period. A statistically significant negative association was observed between one preparedness index and excess mortality during the second time period. No other significant associations existed for the outcomes or time periods considered in this analysis. These results demonstrate that state-level preparedness indices were not well attuned to COVID-19-related mortality outcomes during the first year of the pandemic. This suggests that current measures of state-level preparedness may be underinclusive and require a reconceptualization to improve their utility for public health practice.

摘要

本研究评估了在2019冠状病毒病大流行的第一年中,美国50个州和哥伦比亚特区在三个不同时间段内,州级准备指数与报告的与2019冠状病毒病相关的死亡率结果之间的关联。2019年的州级准备数据来自美国国家卫生安全准备和美国健康指数信托基金,2020年3月至12月的与2019冠状病毒病相关的死亡率数据(即超额死亡率和报告的2019冠状病毒病死亡率)于2022年5月收集。进行线性回归分析以检验三个不同时间段内的关联。在第一个时间段内,两个指数与报告的2019冠状病毒病死亡率之间均观察到具有统计学意义的正相关。在第二个时间段内,一个准备指数与超额死亡率之间观察到具有统计学意义的负相关。对于本分析中考虑的结果或时间段,不存在其他显著关联。这些结果表明,在大流行的第一年,州级准备指数与2019冠状病毒病相关的死亡率结果并未很好地协调一致。这表明当前的州级准备措施可能涵盖不足,需要重新构思以提高其在公共卫生实践中的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad01/10910973/57277f8d2a1c/fepid-03-1229718-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验