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空气质量、气象因素与 COVID-19 感染病例数之间的关联。

Association between air quality, meteorological factors and COVID-19 infection case numbers.

机构信息

Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, 117549, Singapore.

Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, 117597, Singapore.

出版信息

Environ Res. 2021 Jun;197:111024. doi: 10.1016/j.envres.2021.111024. Epub 2021 Mar 17.

Abstract

The coronavirus disease (COVID-19) has become a global pandemic affecting many countries, including Singapore. Previous studies have investigated the relationship of air pollutant levels and meteorological factors with respiratory disease risk and hospital admission rates. However, associations between air pollutant concentrations and meteorological factors with COVID-19 infection have been equivocal. This study aimed to assess the association between core air pollutant concentrations, meteorological variables and daily confirmed COVID-19 case numbers in Singapore. Data on air pollutant levels (particulate matter [PM, PM], ozone [O], carbon monoxide [CO], nitrogen dioxide [NO], sulphur dioxide [SO], pollutant standards index [PSI]) and meteorological factors (rainfall, humidity, temperature) was obtained from the Singapore National Environment Agency (NEA) from January 23, 2020 to April 6, 2020. The daily reported COVID-19 case numbers were retrieved from the Singapore Ministry of Health (MOH). Generalized linear models with Poisson family distribution and log-link were used to estimate the model coefficients and 95% confidence intervals (CIs) for the association between air pollutant concentrations and meteorological factors (8-day and 15-day moving averages (MA)) with COVID-19 case numbers, adjusting for humidity, rainfall and day of week. We observed significantly positive associations between NO, PSI, PM and temperature with COVID-19 case numbers. Every 1-unit increase (15-day MA) in PSI, 1 μg/m increase (15-day MA) in PM, NO and 0.1 °C increase in temperature were significantly associated with a 35.0% (95% CI: 29.7%-40.5%), 22.6% (95% CI: 12.0%-34.3%), 34.8% (95% CI: 29.3%-40.4%) and 28.6% (95% CI: 25.0%-32.4%) increase in the average daily number of COVID-19 cases respectively. On the contrary, PM, O, SO, CO, rainfall and humidity were significantly associated with lower average daily numbers of confirmed COVID-19 cases. Similar associations were observed for the 8-day MAs. Future studies could explore the long-term consequences of the air pollutants on COVID-19 infection and recovery.

摘要

新型冠状病毒病(COVID-19)已成为影响许多国家的全球性大流行疾病,包括新加坡。先前的研究已经调查了空气污染物水平和气象因素与呼吸道疾病风险和住院率的关系。然而,空气污染物浓度与气象因素与 COVID-19 感染之间的关联尚无定论。本研究旨在评估新加坡核心空气污染物浓度、气象变量与每日确诊 COVID-19 病例数之间的关系。从 2020 年 1 月 23 日至 2020 年 4 月 6 日,从新加坡国家环境局(NEA)获取了有关空气污染物水平(颗粒物[PM,PM]、臭氧[O]、一氧化碳[CO]、二氧化氮[NO]、二氧化硫[SO]、污染物标准指数[PSI])和气象因素(降雨量、湿度、温度)的数据。从新加坡卫生部(MOH)检索了每日报告的 COVID-19 病例数。使用具有泊松家族分布和对数链接的广义线性模型来估计空气污染物浓度与气象因素(8 天和 15 天移动平均值(MA))与 COVID-19 病例数之间的关联的模型系数和 95%置信区间(CI),同时调整湿度、降雨量和星期几。我们观察到 NO、PSI、PM 和温度与 COVID-19 病例数之间存在显著的正相关关系。PSI 每增加 1 个单位(15 天 MA)、PM 增加 1μg/m(15 天 MA)、NO 和温度升高 0.1°C,与 COVID-19 平均每日病例数分别显著相关增加 35.0%(95%CI:29.7%-40.5%)、22.6%(95%CI:12.0%-34.3%)、34.8%(95%CI:29.3%-40.4%)和 28.6%(95%CI:25.0%-32.4%)。相反,PM、O、SO、CO、降雨量和湿度与确诊 COVID-19 病例的平均每日数量显著降低相关。8 天 MA 也观察到类似的关联。未来的研究可以探讨空气污染物对 COVID-19 感染和康复的长期影响。

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