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  1. Fulltext The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis
    He Z, Chin Y, Yu S, Huang J, Zhang CJP, Zhu K, et al.
    JMIR Public Health Surveill, 2021 Jan 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, PPPPP

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