PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID 19) in Asian Countries: A MULTI Country Generalized Additive Modeling Analysis

Objectives: 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 Methods: 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) Results: 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 Conclusions: 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