Humidity seems to be the strongest predictor for COVID-19 cases for all model types and locations. Case crossover models aligned better in Seattle, WA, New York City, NY, Chicago, IL, and New Orleans, LA, showing a strong association between humidity and COVID-19 counts. Detroit, MI, Pittsfield, MA, and Bridgeport, CT did not show significant results based on high qAIC values. Case crossover and DLNM models were better than DLNM models, with the exception a couple of locations including Albany GA. Humidity between 6-9 g/kg demonstrated a two-fold increase in transmission of COVID-19 in certain areas.