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10.1038/s42003-020-01609-6 http://scihub22266oqcxt.onion/10.1038/s42003-020-01609-6 33402722!7785728!33402722     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Commun+Biol 2021 ; 4 (1): 60 Nephropedia Template TP {{tp|p=33402722|t=2021. Estimating and explaining the spread of COVID-19 at the county level in the USA |pdf=|usr=}}{{33402722}} gab.com Text Estimating and explaining the spread of COVID-19 at the county level in the USA JO: Commun Biol http://www.kidney.de/pget.php?&tw=1&pmid=33402722 #FOAvip The basic reproduction number, R(0), determines the rate of spread of a communicable disease and therefore gives fundamental information needed to plan public health interventions. Using mortality records, we estimated the rate of spread of COVID-19 among 160 counties and county-aggregates in the USA at the start of the epidemic. We show that most of the high among-county variance is explained by four factors (R(2) = 0.70): the timing of outbreak, population size, population density, and spatial location. For predictions of future spread, population density and spatial location are important, and for the latter we show that SARS-CoV-2 strains containing the G614 mutation to the spike gene are associated with higher rates of spread. Finally, the high predictability of R(0) allows extending estimates to all 3109 counties in the conterminous 48 states. The high variation of R(0) argues for public health policies enacted at the county level for controlling COVID-19. Twit Text FOAVip Estimating and explaining the spread of COVID-19 at the county level in the USA ????Commun Biol http://www.kidney.de/pget.php?&tw=1&pmid=33402722 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33402722 #FOAvip English Wikipedia <ref>{{Cite pmid|33402722}}</ref> Estimating and explaining the spread of COVID-19 at the county level in the USA #MMPMID33402722 Ives AR; Bozzuto C Commun Biol 2021[Jan]; 4 (1): 60 PMID33402722show ga The basic reproduction number, R(0), determines the rate of spread of a communicable disease and therefore gives fundamental information needed to plan public health interventions. Using mortality records, we estimated the rate of spread of COVID-19 among 160 counties and county-aggregates in the USA at the start of the epidemic. We show that most of the high among-county variance is explained by four factors (R(2) = 0.70): the timing of outbreak, population size, population density, and spatial location. For predictions of future spread, population density and spatial location are important, and for the latter we show that SARS-CoV-2 strains containing the G614 mutation to the spike gene are associated with higher rates of spread. Finally, the high predictability of R(0) allows extending estimates to all 3109 counties in the conterminous 48 states. The high variation of R(0) argues for public health policies enacted at the county level for controlling COVID-19. |*Disease Outbreaks[MESH] |*Models, Statistical[MESH] |*SARS-CoV-2[MESH] |COVID-19/*epidemiology/*transmission/virology[MESH] |Factor Analysis, Statistical[MESH] |Geography, Medical[MESH] |Humans[MESH] |Population Density[MESH] |Population Surveillance[MESH]Estimating and explaining the spread of COVID-19 at the county level i(epmc).pdf DeepDyve Pubget Overpricing