Yongzhen Li

Dr. Yongzhen Li

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
10 May 2020 in medRxiv
Verified
Preprint
Open access
PDF file
TZTiantian Zhang
Tiantian Zhang
GZGuoli Zhao
Guoli Zhao
LLLi Luo
Li Luo
YLYongzhen Li
Yongzhen Li
WSWenming Shi
Wenming Shi
Background: Environmental factors, including air pollution, can strongly impact on spatio-temporal patterns of infectious diseases outbreak. In this study, we aimed to investigate the association and correlation between ambient air pollutants and case fatality rate (CFR) of the novel coronavirus disease (COVID-19) in China. Methods: Publicly accessible data on COVID-19 average CFR were utilized in the data analysis. The ambient daily air pollutants including fine particulate matter (PM 2.5 ), inhalable particles (PM 10 ) and nitrogen dioxide (NO 2 ) during the period from December 25, 2019 to March 5, 2020 were obtained from National Air Quality Real-time Publishing System of China. Ecological analysis was performed to explore the association and correlation between the cumulative average exposure of ambient air pollutants at different lag days (14 and 28 days) and average CFR in China outside Hubei and cities in Hubei province via model fitting. Results: The average case fatality rate was highest in Wuhan city (4.53%) and the cumulative average exposure of ambient PM 2.5 , PM 10 and NO 2 at lag 28 days was 55.8±12.1μg/m 3 , 66.8±9.2μg/m 3 , 20.7±4.4μg/m 3 , respectively in Hubei province during the study period. Ecological analysis showed that ambient PM 2.5 , PM 10 and NO 2 exposure at both lag 14 and 28 days was positively correlated with average CFR in China outside Hubei (province-level). For city-level analysis in Hubei, significant associations were only found between cumulative ambient NO 2 exposure and average CFR(r=0.693 for Lag0-14, r=0.697 for Lag0-28, respectively) during the same period. Conclusion: Our findings suggested ambient PM 2.5 , PM 10 and NO 2 exposure, especially at 28 lag days, positively associated with the case fatality rate of COVID-19 in China. These results could help provide guidance for identifying potential exposure window and preventing and controlling the epidemic.