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Effect of ambient air pollutants and meteorological variables on COVID-19 incidence

Published online by Cambridge University Press:  11 May 2020

Ying Jiang
Affiliation:
Department of Neurosurgery, Shanghai Chang Zheng Hospital affiliated with China Second Military Medical University, Shanghai, China
Xiao-Jun Wu
Affiliation:
Department of Neurosurgery, Shanghai Cancer Center, Shanghai Fu-Dan University School of Medicine, Shanghai, China
Yan-Jun Guan*
Affiliation:
Department of Otorhinolaryngology, Shanghai Rui-Jin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
*
Author for correspondence: Yan-Jun Guan, E-mail: guanyjsigma@yeah.net
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Abstract

Objective:

To determine whether ambient air pollutants and meteorological variables are associated with daily COVID-19 incidence.

Design:

A retrospective cohort from January 25 to February 29, 2020.

Setting:

Cities of Wuhan, Xiaogan, and Huanggang, China.

Patients:

The COVID-19 cases detected each day.

Methods:

We collected daily data of COVID-19 incidence, 8 ambient air pollutants (particulate matter of ≤2.5 µm [PM2.5], particulate matter ≤10 µm [PM10], sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and maximum 8-h moving average concentrations for ozone [O3-8h]) and 3 meteorological variables (temperature, relative humidity, and wind) in China’s 3 worst COVID-19–stricken cities during the study period. The multivariate Poisson regression was performed to understand their correlation.

Results:

Daily COVID-19 incidence was positively associated with PM2.5 and humidity in all cities. Specifically, the relative risk (RR) of PM2.5 for daily COVID-19 incidences were 1.036 (95% confidence interval [CI], 1.032–1.039) in Wuhan, 1.059 (95% CI, 1.046–1.072) in Xiaogan, and 1.144 (95% CI, 1.12–1.169) in Huanggang. The RR of humidity for daily COVID-19 incidence was consistently lower than that of PM2.5, and this difference ranged from 0.027 to 0.111. Moreover, PM10 and temperature also exhibited a notable correlation with daily COVID-19 incidence, but in a negative pattern The RR of PM10 for daily COVID-19 incidence ranged from 0.915 (95% CI, 0.896–0.934) to 0.961 (95% CI, 0.95–0.972, while that of temperature ranged from 0.738 (95% CI, 0.717–0.759) to 0.969 (95% CI, 0.966–0.973).

Conclusions:

Our data show that PM2.5 and humidity are substantially associated with an increased risk of COVID-19 and that PM10 and temperature are substantially associated with a decreased risk of COVID-19.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.
Figure 0

Table 1. Descriptive statistics of coronavirus disease 2019 (COVID-19) incidences per day, three meteorological variables and six ambient air pollutants conditions from 25th Jan to 29th Feb 2020 in Wuhan, XiaoGan and HuangGang, China (total 36 days). Min., Max., and SEM stand for minimum, maximum and standard error of mean, respectively

Figure 1

Table 2. The association between the coronavirus disease 2019 (COVID-19) incidence per day and six ambient air pollutants/three meteorological variables from 25th Jan to 29th Feb 2020 in Wuhan, XiaoGan and HuangGang, China (total 35 days). RR and 95% CI stand for relative ratio and 95% confidence interval, respectively. The number marked with # indicated association between factors and COVID-19 incidence were NOT statistically significant (P>0.0056). Meanwhile, the p-value of those not marked data were <0.01 and considered statistically significant