Lung-Chang Chien (Epidemiology and Biostatistics) and Lung-Wen Antony Chen (Environmental and Occupational Health) have published an article on "Lagged Meteorological Impacts on COVID-19 Incidence among High-risk Counties in the United States—a Spatiotemporal Analysis" in the Journal of Exposure Science and Environmental Epidemiology.

This study evaluates the lagged meteorological impacts on COVID-19 incidence by considering a long study period from March to October of 2020 and diversified 203 high-risk counties in the United States. The findings suggest that the maximum temperature, minimum relative humidity, and precipitation were the best meteorological predictors, and significantly positive associations more likely observed from 3 to 11 lagged days in lower levels of each selected meteorological factor. The spatial analysis also shows excessive risks in the north-central United States.