Abstract
Since the first case of novel coronavirus-caused pneumonia was identified in December 2019, the number of new cases has been increasingly reported across China and the world. Therefore, this study investigated the associations of meteorological factors with the daily new cases of coronavirus disease (COVID-19) in nine Asian cities. Pearson correlation and generalized additive modeling were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity). The Pearson correlation showed that daily new confirmed cases of COVID-19 were found to correlated with the average temperature and relative humidity. Moreover, generalized additive modeling analysis showed that generally, the number of daily new cases was positively associated with both average temperature and relative humidity. However, the results were inconsistent across cities and lagged time, which suggested an greater odds that the meteorological factors were unlikely to greatly influence the COVID-19 epidemic. The associations between meteorological factors and the number of COVID-19 daily cases are inconsistent across cities and time. Large-scale public health measures are still required before vaccine is available.
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