• 1 School of Medicine, Jinan University, Guangzhou, China
  • 2 Faculty of Medicine, International School, Jinan University, Guangzhou, China
  • 3 MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
  • 4 School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
  • 5 International School, Jinan University, Guangzhou, China
  • 6 College of Economics, Jinan University, Guangzhou, China
  • 7 Department of Statistics, University of Oxford, Oxford, United Kingdom
  • 8 National Media Experimental Teaching Demonstration Center, School of Journalism and Communication, Jinan University, Guangzhou, China
  • 9 Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
JMIR Public Health Surveill, 2021 01 25;7(1):e20495.
PMID: 33232262 DOI: 10.2196/20495


BACKGROUND: The influence of meteorological factors on the transmission and spread of COVID-19 is of interest and has not been investigated.

OBJECTIVE: This study aimed to investigate the associations between meteorological factors and the daily number of new cases of COVID-19 in 9 Asian cities.

METHODS: Pearson 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.

RESULTS: The 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

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.