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研究城市差异下环境暴露的累积滞后效应对 COVID-19 的影响。

Investigating the cumulative lag effects of environmental exposure under urban differences on COVID-19.

机构信息

Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China.

Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China.

出版信息

J Infect Public Health. 2024 Apr;17 Suppl 1:76-81. doi: 10.1016/j.jiph.2023.06.002. Epub 2023 Jun 3.

Abstract

Although all walks of life are paying less attention to COVID-19, the spread of COVID-19 has never stopped. As an infectious disease, its transmission speed is closely related to the atmosphere environment, particularly the temperature (T) and PM concentrations. However, How T and PM concentrations are related to the spread of SARS-CoV-2 and how much their cumulative lag effect differ across cities is unclear. To identify the characteristics of cumulative lag effects of environmental exposure under city differences, this study used a generalized additive model to investigate the associations between T/PM concentrations and the daily number of new confirmed COVID-19 cases (NNCC) during the outbreak period in the second half of 2021 in Shaoxing, Shijiazhuang, and Dalian. The results showed that except for PM concentrations in Shaoxing, the NNCC in the three cities generally increased with the unit increase of T and PM concentrations. In addition, the cumulative lag effects of T/PM concentrations on NNCC in the three cities reached a peak at lag 26/25, lag 10/26, and lag 18/13 days, respectively, indicating that the response of NNCC to T and PM concentrations varies among different regions. Therefore, combining local meteorological and air quality conditions to adopt responsive measures is an important way to prevent and control the spread of SARS-CoV-2.

摘要

虽然各行各业对 COVID-19 的关注度都有所降低,但 COVID-19 的传播从未停止过。作为一种传染病,其传播速度与大气环境密切相关,尤其是温度(T)和 PM 浓度。然而,T 和 PM 浓度与 SARS-CoV-2 传播之间的关系以及它们在不同城市的累积滞后效应有多大差异尚不清楚。为了确定环境暴露在城市差异下的累积滞后效应的特征,本研究使用广义加性模型调查了 T/PM 浓度与 2021 年下半年绍兴、石家庄和大连暴发期间每日新增确诊 COVID-19 病例(NNCC)之间的关联。结果表明,除绍兴的 PM 浓度外,三个城市的 NNCC 通常随着 T 和 PM 浓度的单位增加而增加。此外,T/PM 浓度对三个城市的 NNCC 的累积滞后效应在滞后 26/25、10/26 和 18/13 天分别达到峰值,这表明 NNCC 对 T 和 PM 浓度的反应在不同地区有所不同。因此,结合当地气象和空气质量条件采取响应措施是预防和控制 SARS-CoV-2 传播的重要途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c32e/10239149/b42acb90e6e9/gr1_lrg.jpg

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