Relative Humidity Predicts Day-to-Day Variations in #COVID-19 Cases in the City of Buenos Aires | Environmental Science & Technology
▻https://pubs.acs.org/doi/10.1021/acs.est.1c02711
We found that humidity plays a prominent role in modulating the variation of COVID-19 positive cases through a negative-slope linear relationship, with an optimal lag of 9 days between the meteorological observation and the positive case report. This relationship is specific to winter months, when relative humidity predicts up to half of the variance in positive case count. Our results provide a tool to anticipate possible local surges in COVID-19 cases after events of low humidity. More generally, they add to accumulating evidence pointing to dry air as a facilitator of COVID-19 #transmission.