Department of Environmental and Occupational Health, School of Public Health, Indiana University, 1025, E. 7th St., Bloomington, USA.
Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA.
Environ Pollut. 2020 Oct;265(Pt A):115126. doi: 10.1016/j.envpol.2020.115126. Epub 2020 Jun 27.
The novel coronavirus disease (COVID-19) is primarily respiratory in nature, and as such, there is interest in examining whether air pollution might contribute to disease susceptibility or outcome. We merged data on COVID-19 cumulative prevalence and fatality rates as of May 31, 2020 with 2014-2019 pollution data from the US Environmental Protection Agency Environmental Justice Screen (EJSCREEN), with control for state testing rates, population density, and population covariate data from the County Health Rankings. Pollution data included three types of air emission concentrations (particulate matter<2.5 μm (PM2.5), ozone and diesel particulate matter (DPM)), and four pollution source variables (proximity to traffic, National Priority List sites, Risk Management Plan (RMP) sites, and hazardous waste treatment, storage and disposal facilities (TSDFs)). Results of mixed model linear multiple regression analyses indicated that, controlling for covariates, COVID-19 prevalence and fatality rates were significantly associated with greater DPM. Proximity to TSDFs was associated to greater fatality rates, and proximity to RMPs was associated with greater prevalence rates. Results are consistent with previous research indicating that air pollution increases susceptibility to respiratory viral pathogens. Results should be interpreted cautiously given the ecological design, the time lag between exposure and outcome, and the uncertainties in measuring COVID-19 prevalence. Areas with worse prior air quality, especially higher concentrations of diesel exhaust, may be at greater COVID-19 risk, although further studies are needed to confirm these relationships.
新型冠状病毒病(COVID-19)主要是呼吸道疾病,因此,人们有兴趣研究空气污染是否会导致疾病易感性或结果。我们将截至 2020 年 5 月 31 日的 COVID-19 累计患病率和死亡率数据与美国环境保护署环境正义筛选(EJSCREEN)的 2014-2019 年污染数据合并,控制了州检测率、人口密度和人口协变量数据来自县健康排名。污染数据包括三种空气排放浓度类型(<2.5μm 颗粒物(PM2.5)、臭氧和柴油颗粒物(DPM))和四个污染源变量(接近交通、国家优先名单地点、风险管理计划(RMP)地点和危险废物处理、储存和处置设施(TSDFs))。混合模型线性多元回归分析的结果表明,在控制协变量的情况下,COVID-19 的患病率和死亡率与更高的 DPM 显著相关。靠近 TSDF 与更高的死亡率相关,靠近 RMP 与更高的患病率相关。结果与先前的研究一致,表明空气污染会增加对呼吸道病毒病原体的易感性。鉴于生态设计、暴露与结果之间的时间滞后以及 COVID-19 患病率测量的不确定性,应谨慎解释结果。空气质量较差的地区,特别是柴油机废气浓度较高的地区,COVID-19 风险可能更高,尽管需要进一步研究来证实这些关系。