English Paul B, Von Behren Julie, Balmes John R, Boscardin John, Carpenter Catherine, Goldberg Debbie E, Horiuchi Sophia, Richardson Maxwell, Solomon Gina, Valle Jhaqueline, Reynolds Peggy
Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States.
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Environ Adv. 2022 Oct;9:100270. doi: 10.1016/j.envadv.2022.100270. Epub 2022 Jul 26.
Previous studies have reported associations between air pollution and COVID-19 morbidity and mortality, but most have limited their exposure assessment to a large area, have not used individual-level variables, nor studied infections. We examined 3.1 million SARS-CoV-2 infections and 49,691 COVID-19 deaths that occurred in California from February 2020 to February 2021 to evaluate risks associated with long-term neighborhood concentrations of particulate matter less than 2.5 μm in diameter (PM). We obtained individual address data on SARS-CoV-2 infections and COVID-19 deaths and assigned 2000-2018 1km-1km gridded PM surfaces to census block groups. We included individual covariate data on age and sex, and census block data on race/ethnicity, air basin, Area Deprivation Index, and relevant comorbidities. Our analyses were based on generalized linear mixed models utilizing a Poisson distribution. Those living in the highest quintile of long-term PM exposure had risks of SARS-CoV-2 infections 20% higher and risks of COVID-19 mortality 51% higher, compared to those living in the lowest quintile of long-term PM exposure. Those living in the areas of highest long-term PM exposure were more likely to be Hispanic and more vulnerable, based on the Area Deprivation Index. The increased risks for SARS-CoV-2 Infections and COVID-19 mortality associated with highest long-term PM concentrations at the neighborhood-level in California were consistent with a growing body of literature from studies worldwide, and further highlight the importance of reducing levels of air pollution to protect public health.
以往的研究报告了空气污染与新冠发病率和死亡率之间的关联,但大多数研究将其暴露评估局限于大面积区域,未使用个体层面的变量,也未研究感染情况。我们调查了2020年2月至2021年2月期间在加利福尼亚州发生的310万例新冠病毒感染病例和49691例新冠死亡病例,以评估与长期邻里层面直径小于2.5微米的颗粒物(PM)浓度相关的风险。我们获取了新冠病毒感染病例和新冠死亡病例的个体住址数据,并将2000 - 2018年1公里×1公里网格化的PM表面数据分配到人口普查街区组。我们纳入了年龄和性别的个体协变量数据,以及种族/族裔、空气流域、地区贫困指数和相关合并症的人口普查街区数据。我们的分析基于使用泊松分布的广义线性混合模型。与长期PM暴露处于最低五分位数的人群相比,长期PM暴露处于最高五分位数的人群感染新冠病毒的风险高20%,新冠死亡风险高51%。根据地区贫困指数,长期PM暴露最高地区的居民更可能是西班牙裔,且更脆弱。加利福尼亚州邻里层面长期PM浓度最高与新冠病毒感染和新冠死亡风险增加相关,这与全球范围内越来越多的研究文献一致,并进一步凸显了降低空气污染水平以保护公众健康的重要性。