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每日确诊的 COVID-19 发病率与短期 PM 暴露之间的关联大于 PM 和 PM 与 COVID-19 发病率之间的关联。

The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM is larger than associations with PM and PM.

机构信息

School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.

Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

出版信息

Environ Res. 2022 Jul;210:113016. doi: 10.1016/j.envres.2022.113016. Epub 2022 Feb 24.

Abstract

Exposure to particulate matter (PM) could increase both susceptibility to SARS-CoV-2 infection and severity of COVID-19 disease. Prior studies investigating associations between PM and COVID-19 morbidity have only considered PM or PM, rather than PM. We investigated the associations between daily-diagnosed COVID-19 morbidity and average exposures to ambient PM starting at 0 through 21 days before the day of diagnosis in 12 cities in China using a two-step analysis: a time-series quasi-Poisson analysis to analyze the associations in each city; and then a meta-analysis to estimate the overall association. Diagnosed morbidities and PM data were obtained from National Health Commission in China and China Meteorological Administration, respectively. We found association between short-term exposures to ambient PM with COVID-19 morbidity was significantly positive, and larger than the associations with PM and PM. Percent increases in daily-diagnosed COVID-19 morbidity per IQR/10 PM for different moving averages ranged from 1.50% (-1.20%, 4.30%) to 241% (95%CI: 80.7%, 545%), with largest values for exposure windows starting at 17 days before diagnosis. Our results indicate that smaller particles are more highly associated with COVID-19 morbidity, and most of the effects from PM and PM on COVID-19 may be primarily due to the PM. This study will be helpful for implementing measures and policies to control the spread of COVID-19.

摘要

暴露于颗粒物(PM)可能会增加对 SARS-CoV-2 感染的易感性和 COVID-19 疾病的严重程度。先前研究调查 PM 与 COVID-19 发病率之间的关联时,仅考虑了 PM 或 PM ,而不是 PM 。我们使用两步分析方法,在中国 12 个城市中调查了从诊断日之前 0 天到 21 天的每日诊断 COVID-19 发病率与环境 PM 平均暴露之间的关联:时间序列准泊松分析用于分析每个城市的关联;然后进行荟萃分析以估计总体关联。诊断发病率和 PM 数据分别来自中国国家卫生健康委员会和中国气象局。我们发现,环境 PM 短期暴露与 COVID-19 发病率之间存在显著正相关,且与 PM 和 PM 的关联更大。不同移动平均的每 IQR/10 PM 每日诊断 COVID-19 发病率的百分比增加范围为 1.50%(-1.20%,4.30%)至 241%(95%CI:80.7%,545%),暴露窗口起始于诊断前 17 天的数值最大。我们的结果表明,较小的颗粒与 COVID-19 发病率的关联更高,而 PM 和 PM 对 COVID-19 的大部分影响可能主要归因于 PM 。这项研究将有助于实施控制 COVID-19 传播的措施和政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b36d/8865934/5e3a2aa4606d/gr1_lrg.jpg

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