Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U.S. counties.

摘要: The emergence of the novel coronavirus has necessitated immense research efforts to understand how several non-environmental and environmental factors affect transmission. With United States leading path in terms case incidence, it is important investigate weather variables influence spread disease country. This paper assembles a detailed comprehensive dataset comprising COVID-19 cases climatological for all counties continental U.S. uses developed econometric approach estimate causal effect certain on growth rate infection. results indicate non-linear significant negative relationship between individual measures Specifically, finds that 1 °C rise daily temperature will reduce covid by approximately 6 percent following week, while marginal increase relative humidity reduces same outcome 1 over similar period. In comparison, 1 m/s wind speed bring about an 8 drop These differ location are robust sensitivity checks, so large deviations unexpected.