Risks of source and species-specific air pollution for COVID-19 incidence and mortality in Los Angeles

Lin-Syuan Yang, Michael J Kleeman, Lara J. Cushing, Jonah Lipsitt, Jason Su, Richard T Burnett, Christina M. Batteate, Claudia L Nau, Deborah R. Young, Sara Y Tartof, Rebecca K Butler, Ariadna Padilla, Michael Jerrett
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Abstract

Growing evidence from ecological studies suggests that chronic exposure to standard air pollutants (PM2.5, NO2, and ozone) exacerbates risks of COVID-19 incidence and mortality. This study assessed the associations between an expanded list of air pollutants and COVID-19 incidence and mortality in Los Angeles. Annual mean exposure to air pollutants in 2019  including PM0.1 mass, PM2.5 mass, PM2.5 elemental carbon (EC), PM2.5 tracer from mobile sources, NO2, and ozone  were estimated at the ZIP code level in residential areas throughout Los Angeles. Negative binomial models and a spatial model were used to explore associations between health outcomes and exposures in single pollutant and multi-pollutant models. Exposure to PM0.1 mass, ozone, NO2, and PM2.5 EC were identified as risk factors for COVID-19 incidence and mortality. The results also suggest that PM2.5 and NO2 together may have synergistic effects on harmful COVID-19 outcomes. The study provides localized insights into the spatial and temporal associations between species-specific air pollutants and COVID-19 outcomes, highlighting the potential for policy recommendations to mitigate specific aspects of air pollution to protect public health.
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洛杉矶 COVID-19 发病率和死亡率的来源和物种空气污染风险
越来越多的生态研究证据表明,长期暴露于标准空气污染物(PM2.5、二氧化氮和臭氧)会增加 COVID-19 的发病率和死亡率。本研究评估了洛杉矶空气污染物扩展清单与 COVID-19 发病率和死亡率之间的关联。2019年,包括PM0.1质量、PM2.5质量、PM2.5元素碳(EC)、来自移动源的PM2.5示踪剂、二氧化氮和臭氧。在单一污染物和多种污染物模型中,使用负二叉模型和空间模型来探索健康结果与暴露之间的关联。PM0.1 质量、臭氧、二氧化氮和 PM2.5 EC 暴露被确定为 COVID-19 发病率和死亡率的风险因素。研究结果还表明,PM2.5 和二氧化氮可能会对 COVID-19 的有害结果产生协同效应。该研究为特定物种的空气污染物与 COVID-19 结果之间的空间和时间关联提供了局部见解,突出了提出政策建议的潜力,以减轻空气污染的特定方面,保护公众健康。
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