Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA; Institute for Public Health, Washington University in St. Louis, St. Louis, MO 63130, USA.
Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
Sci Total Environ. 2021 Mar 15;760:143391. doi: 10.1016/j.scitotenv.2020.143391. Epub 2020 Nov 9.
It has been posited that populations being exposed to long-term air pollution are more susceptible to COVID-19. Evidence is emerging that long-term exposure to ambient PM (particulate matter with aerodynamic diameter 2.5 μm or less) associates with higher COVID-19 mortality rates, but whether it also associates with the speed at which the disease is capable of spreading in a population is unknown. Here, we establish the association between long-term exposure to ambient PM in the United States (US) and COVID-19 basic reproduction ratio R- a dimensionless epidemic measure of the rapidity of disease spread through a population. We inferred state-level R values using a state-of-the-art susceptible, exposed, infected, and recovered (SEIR) model initialized with COVID-19 epidemiological data corresponding to the period March 2-April 30. This period was characterized by a rapid surge in COVID-19 cases across the US states, implementation of strict social distancing measures, and a significant drop in outdoor air pollution. We find that an increase of 1 μg/m in PM levels below current national ambient air quality standards associates with an increase of 0.25 in R (95% CI: 0.048-0.447). A 10% increase in secondary inorganic composition, sulfate-nitrate-ammonium, in PM associates with ≈10% increase in R by 0.22 (95% CI: 0.083-0.352), and presence of black carbon (soot) in the ambient environment moderates this relationship. We considered several potential confounding factors in our analysis, including gaseous air pollutants and socio-economical and meteorological conditions. Our results underscore two policy implications - first, regulatory standards need to be better guided by exploring the concentration-response relationships near the lower end of the PM air quality distribution; and second, pollution regulations need to be continually enforced for combustion emissions that largely determine secondary inorganic aerosol formation.
有人提出,长期暴露在空气污染中的人群更容易感染 COVID-19。有证据表明,长期暴露于环境 PM(空气动力学直径为 2.5μm 或更小的颗粒物)与 COVID-19 死亡率较高有关,但它是否也与疾病在人群中传播的速度有关尚不清楚。在这里,我们建立了美国(美国)长期暴露于环境 PM 与 COVID-19 基本繁殖率 R 之间的关联,R 是一种无量纲的传染病传播速度度量标准,用于衡量疾病在人群中的传播速度。我们使用最先进的易感、暴露、感染和恢复(SEIR)模型来推断州级 R 值,该模型使用与 3 月 2 日至 4 月 30 日期间对应的 COVID-19 流行病学数据进行初始化。在此期间,美国各州的 COVID-19 病例迅速增加,实施了严格的社会隔离措施,户外空气污染显著下降。我们发现,PM 水平每增加 1μg/m,R 值增加 0.25(95%CI:0.048-0.447)。PM 中二次无机成分(硫酸盐-硝酸盐-铵)增加 10%,R 值增加约 10%,达到 0.22(95%CI:0.083-0.352),环境中存在黑碳(煤烟)会调节这种关系。我们在分析中考虑了几个潜在的混杂因素,包括气态空气污染物以及社会经济和气象条件。我们的结果强调了两个政策含义-首先,需要通过探索 PM 空气质量分布的低端附近的浓度-反应关系来更好地指导监管标准;其次,需要不断执行污染法规,以控制主要决定二次无机气溶胶形成的燃烧排放。