TY - JOUR
T1 - Association between coronavirus disease 2019 (COVID-19) and long-term exposure to air pollution
T2 - Evidence from the first epidemic wave in China
AU - Zheng, Pai
AU - Chen, Zhangjian
AU - Liu, Yonghong
AU - Song, Hongbin
AU - Wu, Chieh Hsi
AU - Li, Bingying
AU - Kraemer, Moritz U.G.
AU - Tian, Huaiyu
AU - Yan, Xing
AU - Zheng, Yuxin
AU - Stenseth, Nils Chr
AU - Jia, Guang
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2021/5/1
Y1 - 2021/5/1
N2 - People with chronic obstructive pulmonary disease, cardiovascular disease, or hypertension have a high risk of developing severe coronavirus disease 2019 (COVID-19) and of COVID-19 mortality. However, the association between long-term exposure to air pollutants, which increases cardiopulmonary damage, and vulnerability to COVID-19 has not yet been fully established. We collected data of confirmed COVID-19 cases during the first wave of the epidemic in mainland China. We fitted a generalized linear model using city-level COVID-19 cases and severe cases as the outcome, and long-term average air pollutant levels as the exposure. Our analysis was adjusted using several variables, including a mobile phone dataset, covering human movement from Wuhan before the travel ban and movements within each city during the period of the emergency response. Other variables included smoking prevalence, climate data, socioeconomic data, education level, and number of hospital beds for 324 cities in China. After adjusting for human mobility and socioeconomic factors, we found an increase of 37.8% (95% confidence interval [CI]: 23.8%–52.0%), 32.3% (95% CI: 22.5%–42.4%), and 14.2% (7.9%–20.5%) in the number of COVID-19 cases for every 10-μg/m3 increase in long-term exposure to NO2, PM2.5, and PM10, respectively. However, when stratifying the data according to population size, the association became non-significant. The present results are derived from a large, newly compiled and geocoded repository of population and epidemiological data relevant to COVID-19. The findings suggested that air pollution may be related to population vulnerability to COVID-19 infection, although the extent to which this relationship is confounded by city population density needs further exploration. This research reported a national-level association with long-term exposure to air pollutants and COVID-19 cases covering 324 cities in China.
AB - People with chronic obstructive pulmonary disease, cardiovascular disease, or hypertension have a high risk of developing severe coronavirus disease 2019 (COVID-19) and of COVID-19 mortality. However, the association between long-term exposure to air pollutants, which increases cardiopulmonary damage, and vulnerability to COVID-19 has not yet been fully established. We collected data of confirmed COVID-19 cases during the first wave of the epidemic in mainland China. We fitted a generalized linear model using city-level COVID-19 cases and severe cases as the outcome, and long-term average air pollutant levels as the exposure. Our analysis was adjusted using several variables, including a mobile phone dataset, covering human movement from Wuhan before the travel ban and movements within each city during the period of the emergency response. Other variables included smoking prevalence, climate data, socioeconomic data, education level, and number of hospital beds for 324 cities in China. After adjusting for human mobility and socioeconomic factors, we found an increase of 37.8% (95% confidence interval [CI]: 23.8%–52.0%), 32.3% (95% CI: 22.5%–42.4%), and 14.2% (7.9%–20.5%) in the number of COVID-19 cases for every 10-μg/m3 increase in long-term exposure to NO2, PM2.5, and PM10, respectively. However, when stratifying the data according to population size, the association became non-significant. The present results are derived from a large, newly compiled and geocoded repository of population and epidemiological data relevant to COVID-19. The findings suggested that air pollution may be related to population vulnerability to COVID-19 infection, although the extent to which this relationship is confounded by city population density needs further exploration. This research reported a national-level association with long-term exposure to air pollutants and COVID-19 cases covering 324 cities in China.
KW - Air pollution
KW - COVID-19
KW - Chronic exposure
KW - Coronavirus disease 2019
UR - http://www.scopus.com/inward/record.url?scp=85101067501&partnerID=8YFLogxK
U2 - 10.1016/j.envpol.2021.116682
DO - 10.1016/j.envpol.2021.116682
M3 - Article
C2 - 33631687
AN - SCOPUS:85101067501
SN - 0269-7491
VL - 276
JO - Environmental Pollution
JF - Environmental Pollution
M1 - 116682
ER -