[U22-P05] Consequences of modeling assumptions and scope of analysis on connections between meteorology and COVID-19
Keywords:COVID-19, temperature, humidity, transmission
Many recent refereed and non-refereed studies have examined the connection between meteorological variables and COVID-19; however, the landscape of the literature is constantly changing, and it is important to provide a synthesis to evaluate gaps. These studies yield contrasting results linking COVID-19 with meteorology both within and across regions. Differences likely stem from different focus regions and measuring periods, different methodologies (i.e., statistical methods, dependent variable(s), controls, etc.), or a combination of these two factors. To understand how methodology impacts key findings, we discuss how studies draw statistical associations between meteorology and COVID-19 and their intrinsic limitations and suggest ways that future research could improve the detection of associations.