1. The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis
- Author
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He, Zonglin, Chin, Yiqiao, Yu, Shinning, Huang, Jian, Zhang, Casper J P, Zhu, Ke, Azarakhsh, Nima, Sheng, Jie, He, Yi, Jayavanth, Pallavi, Liu, Qian, Akinwunmi, Babatunde O, and Ming, Wai-Kit
- Subjects
Public aspects of medicine ,RA1-1270 - Abstract
BackgroundThe influence of meteorological factors on the transmission and spread of COVID-19 is of interest and has not been investigated. ObjectiveThis study aimed to investigate the associations between meteorological factors and the daily number of new cases of COVID-19 in 9 Asian cities. MethodsPearson correlation and generalized additive modeling (GAM) were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity) with the most updated data currently available. ResultsThe Pearson correlation showed that daily new confirmed cases of COVID-19 were more correlated with the average temperature than with relative humidity. Daily new confirmed cases were negatively correlated with the average temperature in Beijing (r=–0.565, P
- Published
- 2021
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