Short-term effects of specific humidity and temperature on COVID-19 morbidity in select US cities.

ABSTRACT: Little is known about the environmental conditions that drive the spatiotemporal patterns of SARS-CoV-2. Preliminary research suggests an association with meteorological parameters. However, the relationship with temperature and humidity is not yet apparent for COVID-19 cases in US cities first impacted. The objective of this study is to evaluate the association between COVID-19 cases and meteorological parameters in select US cities. A case-crossover design with a distributed lag nonlinear model was used to evaluate the contribution of ambient temperature and specific humidity on COVID-19 cases in select US cities. The case-crossover examines each COVID case as its own control at different time periods (before and after transmission occurred). We modeled the effect of temperature and humi

SUBMITTER: Runkle JD 

PROVIDER: S-EPMC7280823 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature