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10.1016/j.scitotenv.2020.141946 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.141946 32889290!7446707!32889290     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2021 ; 752 (ä): 141946 Nephropedia Template TP {{tp|p=32889290|t=2021. Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach |pdf=|usr=}}{{32889290}} gab.com Text Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32889290 #FOAvip Deaths from the COVID-19 pandemic have disproportionately affected older adults and residents in nursing homes. Although emerging research has identified place-based risk factors for the general population, little research has been conducted for nursing home populations. This GIS-based spatial modeling study aimed to determine the association between nursing home-level metrics and county-level, place-based variables with COVID-19 confirmed cases in nursing homes across the United States. A cross-sectional research design linked data from Centers for Medicare & Medicaid Services, American Community Survey, the 2010 Census, and COVID-19 cases among the general population and nursing homes. Spatial cluster analysis identified specific regions with statistically higher COVID-19 cases and deaths among residents. Multivariate analysis identified risk factors at the nursing home level including, total count of fines, total staffing levels, and LPN staffing levels. County-level or place-based factors like per-capita income, average household size, population density, and minority composition were significant predictors of COVID-19 cases in the nursing home. These results provide a framework for examining further COVID-19 cases in nursing homes and highlight the need to include other community-level variables when considering risk of COVID-19 transmission and outbreaks in nursing homes. Twit Text FOAVip Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32889290 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32889290 #FOAvip English Wikipedia <ref>{{Cite pmid|32889290}}</ref> Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach #MMPMID32889290 Sugg MM; Spaulding TJ; Lane SJ; Runkle JD; Harden SR; Hege A; Iyer LS Sci Total Environ 2021[Jan]; 752 (ä): 141946 PMID32889290show ga Deaths from the COVID-19 pandemic have disproportionately affected older adults and residents in nursing homes. Although emerging research has identified place-based risk factors for the general population, little research has been conducted for nursing home populations. This GIS-based spatial modeling study aimed to determine the association between nursing home-level metrics and county-level, place-based variables with COVID-19 confirmed cases in nursing homes across the United States. A cross-sectional research design linked data from Centers for Medicare & Medicaid Services, American Community Survey, the 2010 Census, and COVID-19 cases among the general population and nursing homes. Spatial cluster analysis identified specific regions with statistically higher COVID-19 cases and deaths among residents. Multivariate analysis identified risk factors at the nursing home level including, total count of fines, total staffing levels, and LPN staffing levels. County-level or place-based factors like per-capita income, average household size, population density, and minority composition were significant predictors of COVID-19 cases in the nursing home. These results provide a framework for examining further COVID-19 cases in nursing homes and highlight the need to include other community-level variables when considering risk of COVID-19 transmission and outbreaks in nursing homes. |*Coronavirus Infections/epidemiology[MESH] |*Medicare[MESH] |*Nursing Homes[MESH] |*Pandemics[MESH] |*Pneumonia, Viral/epidemiology[MESH] |Aged[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Cross-Sectional Studies[MESH] |Humans[MESH] |Income[MESH] |Population Density[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH] |United States[MESH]Mapping community-level determinants of COVID-19 transmission in nursi(epmc).pdf DeepDyve Pubget Overpricing