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10.1016/j.jenvman.2021.112662 http://scihub22266oqcxt.onion/10.1016/j.jenvman.2021.112662 33930636!8064870!33930636     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33930636&cmd=llinks): Failed to open stream: HTTP request failed! 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Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U S counties |pdf=|usr=}}{{33930636}} gab.com Text Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U S counties JO: J Environ Manage http://www.kidney.de/pget.php?&tw=1&pmid=33930636 #FOAvip 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 degrees 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. Twit Text FOAVip Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U S counties ????J Environ Manage http://www.kidney.de/pget.php?&tw=1&pmid=33930636 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33930636 #FOAvip English Wikipedia <ref>{{Cite pmid|33930636}}</ref> Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U S counties #MMPMID33930636 Emediegwu LE J Environ Manage 2021[Aug]; 291 (ä): 112662 PMID33930636show ga 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 degrees 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. |*COVID-19[MESH] |Humans[MESH] |Humidity[MESH] |SARS-CoV-2[MESH] |Temperature[MESH] |United States[MESH]Health impacts of daily weather fluctuations: Empirical evidence from (epmc).pdf DeepDyve Pubget Overpricing