: The impact of climate on COVID-19 transmission is verified through machine learning models that assess the relative weight of meteorological variables compared to epidemiological, socioeconomic, environmental, and global health factors. (IMAGE)

PLOS

: The impact of climate on COVID-19 transmission is verified through machine learning models that assess the relative weight of meteorological variables compared to epidemiological, socioeconomic, environmental, and global health factors.

Caption

The ensuing results show that meteorological factors play a key role in regression models of COVID-19 risk, with ultraviolet radiation (UV) as the main driver. These results are corroborated by statistical correlation analyses and fixed-effect regression modeling where UV radiation coefficients are found to be significantly negatively correlated with COVID-19 transmission rates.

Credit

Giovanni Scabbia, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Usage Restrictions

Credit must be given to the creator.

License

CC BY

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