Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U.S. counties.
|dc.contributor.author||Emediegwu, Lotanna E; email: firstname.lastname@example.org|
|dc.identifier.citation||Journal of environmental management, volume 291, page 112662|
|dc.description||From PubMed via Jisc Publications Router|
|dc.description||History: received 2021-01-09, revised 2021-04-10, accepted 2021-04-14|
|dc.description||Publication status: aheadofprint|
|dc.description.abstract||The emergence of the novel coronavirus has necessitated immense research efforts to understand how several non-environmental and environmental factors affect transmission. With the United States leading the path in terms of case incidence, it is important to investigate how weather variables influence the spread of the disease in the country. This paper assembles a detailed and comprehensive dataset comprising COVID-19 cases and climatological variables for all counties in the continental U.S. and uses a developed econometric approach to estimate the causal effect of certain weather factors on the growth rate of infection. The results indicate a non-linear and significant negative relationship between the individual weather measures and the growth rate of COVID-19 in the U.S. Specifically, the paper finds that a 1 °C rise in daily temperature will reduce daily covid growth rate in the U.S. by approximately 6 percent in the following week, while a marginal increase in relative humidity reduces the same outcome by 1 percent over a similar period. In comparison, a 1 m/s increase in daily wind speed will bring about an 8 percent drop in daily growth rate of COVID-19 in the country. These results differ by location and are robust to several sensitivity checks, so large deviations are unexpected. [Abstract copyright: Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.]|
|dc.title||Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U.S. counties.|