Isphording Ingo E, Pestel Nico
Institute of Labor Economics (IZA), CESifo, Germany.
Institute of Labor Economics (IZA), Germany.
J Environ Econ Manage. 2021 Jul;108:102448. doi: 10.1016/j.jeem.2021.102448. Epub 2021 Apr 8.
We study the impact of short-term exposure to ambient air pollution on the spread and severity of COVID-19 in Germany. We combine data at the county-by-day level on confirmed cases and deaths with information on local air quality and weather conditions. Following Deryugina et al. (2019), we instrument short-term variation in local concentrations of particulate matter (PM10) by region-specific daily variation in wind directions. We find significant positive effects of PM10 concentration on death numbers from four days before to ten days after the onset of symptoms. Specifically, for elderly patients (80+ years) an increase in ambient PM10 concentration by one standard deviation between two and four days after developing symptoms increases the number of deaths by 19 percent of a standard deviation. In addition, higher levels air pollution raise the number of confirmed cases of COVID-19 for all age groups. The timing of effects surrounding the onset of illness suggests that air pollution affects the severity of already-realized infections. We discuss the implications of our results for immediate policy levers to reduce the exposure and level of ambient air pollution, as well as for cost-benefit considerations of policies aiming at sustainable longer-term reductions of pollution levels.
我们研究了短期暴露于环境空气污染对德国新冠疫情传播和严重程度的影响。我们将按日统计的各县确诊病例和死亡数据与当地空气质量及天气状况信息相结合。遵循德柳吉娜等人(2019年)的研究方法,我们利用特定区域每日风向变化来测算当地颗粒物(PM10)浓度的短期变化。我们发现,在症状出现前四天到出现后十天内,PM10浓度对死亡人数有显著的正向影响。具体而言,对于老年患者(80岁及以上),在出现症状后的第二至四天,环境PM10浓度每增加一个标准差,死亡人数就会增加19%个标准差。此外,更高水平的空气污染会增加所有年龄组的新冠确诊病例数。疾病发作前后的影响时间表明,空气污染会影响已确诊感染的严重程度。我们讨论了研究结果对于降低环境空气污染暴露和水平的直接政策杠杆的意义,以及对于旨在实现长期可持续降低污染水平的政策的成本效益考量。