通过 COVID-19 封锁措施降低 PM2.5 相关的每日流感住院风险:泰国东北部的时间序列研究。

IF 2.8 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Preventive Medicine and Public Health Pub Date : 2024-03-01 Epub Date: 2024-01-19 DOI:10.3961/jpmph.23.349
Benjawan Roudreo, Sitthichok Puangthongthub
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引用次数: 0

摘要

目的:与2019年冠状病毒病(COVID-19)爆发相关的空气污染水平的突然变化为评估空气污染对流感风险的影响提供了一个独特的机会,而此时排放源的活跃程度较低,个人卫生习惯也更加严格:这项时间序列研究考察了 2018 年至 2021 年期间流感病例(n=22,874)与空气污染物浓度之间的关系,比较了泰国孔敬府及其周边地区 COVID-19 大流行之前和期间的时间段。采用泊松广义加法模型来估算与空气污染物水平相关的流感住院相对风险:结果:在 COVID-19 爆发之前,日均流感住院人数和环境中细颗粒物(PM2.5)的浓度都超过了后来在大流行期间观察到的水平(p 结论:在 COVID-19 爆发期间实施的封锁措施导致了日均流感住院人数和环境中细颗粒物(PM2.5)浓度的下降:在 COVID-19 大流行期间实施的封锁措施可减轻 PM2.5 引发流感的风险。在COVID-19大流行期间采取有效的监管措施可减少PM2.5的排放并改善卫生习惯,从而降低流感住院率。
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Alleviation of PM2.5-associated Risk of Daily Influenza Hospitalization by COVID-19 Lockdown Measures: A Time-series Study in Northeastern Thailand.

Objectives: Abrupt changes in air pollution levels associated with the coronavirus disease 2019 (COVID-19) outbreak present a unique opportunity to evaluate the effects of air pollution on influenza risk, at a time when emission sources were less active and personal hygiene practices were more rigorous.

Methods: This time-series study examined the relationship between influenza cases (n=22 874) and air pollutant concentrations from 2018 to 2021, comparing the timeframes before and during the COVID-19 pandemic in and around Thailand's Khon Kaen province. Poisson generalized additive modeling was employed to estimate the relative risk of hospitalization for influenza associated with air pollutant levels.

Results: Before the COVID-19 outbreak, both the average daily number of influenza hospitalizations and particulate matter with an aerodynamic diameter of 2.5 μm or less (PM2.5) concentration exceeded those later observed during the pandemic (p<0.001). In single-pollutant models, a 10 μg/m3 increase in PM2.5 before COVID-19 was significantly associated with increased influenza risk upon exposure to cumulative-day lags, specifically lags 0-5 and 0-6 (p<0.01). After adjustment for co-pollutants, PM2.5 demonstrated the strongest effects at lags 0 and 4, with elevated risk found across all cumulative-day lags (0-1, 0-2, 0-3, 0-4, 0-5, and 0-6) and significantly greater risk in the winter and summer at lag 0-5 (p<0.01). However, the PM2.5 level was not significantly associated with influenza risk during the COVID-19 outbreak.

Conclusions: Lockdown measures implemented during the COVID-19 pandemic could mitigate the risk of PM2.5-induced influenza. Effective regulatory actions in the context of COVID-19 may decrease PM2.5 emissions and improve hygiene practices, thereby reducing influenza hospitalizations.

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来源期刊
Journal of Preventive Medicine and Public Health
Journal of Preventive Medicine and Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
6.40
自引率
0.00%
发文量
60
审稿时长
8 weeks
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