The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis
- Resource Type
- article
- Authors
- 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; Ming, Wai-Kit
- Source
- JMIR Public Health and Surveillance, Vol 7, Iss 1, p e20495 (2021)
- Subject
- Public aspects of medicine
RA1-1270
- Language
- English
- ISSN
- 2369-2960
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