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10.1093/pubmed/fdaa147 http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa147 32882031!7499711!32882031     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32882031&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32882031.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Public+Health+(Oxf) 2021 ; 43 (2): 219-224 Nephropedia Template TP {{tp|p=32882031|t=2021. Neighborhood conditions and the initial outbreak of COVID-19: the case of Louisiana |pdf=|usr=}}{{32882031}} gab.com Text Neighborhood conditions and the initial outbreak of COVID-19: the case of Louisiana JO: J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32882031 #FOAvip The early outbreak of coronavirus disease-2019 (COVID)-19 became associated with various 'hot spots' in the USA, particularly in large cities. However, despite the widespread nature of the outbreak, much of what is known about the virus' impact and clusters is understood either for individuals, or at the state level. This paper assesses the predictors of outbreaks at the neighborhood level. Using data from the Louisiana Department of Health, we use spatial regression models to analyze the case count through 3 May 2020 and its relationship to individual and geographic neighborhood characteristics at the census tract level. We find a particularly strong and large correlation between race and COVID-19 cases, robust to model specification and spatial autocorrelation. In addition, neighborhoods with lower rates of poverty and those with fewer residents over 70 have fewer cases. Policy makers should adjust testing strategies to better service the hardest hit populations, particularly minorities and the elderly. In addition, the results are greater evidence of the impact of systemic issues on health, which require a long-term strategy for redress. Twit Text FOAVip Neighborhood conditions and the initial outbreak of COVID-19: the case of Louisiana ????J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32882031 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32882031 #FOAvip English Wikipedia <ref>{{Cite pmid|32882031}}</ref> Neighborhood conditions and the initial outbreak of COVID-19: the case of Louisiana #MMPMID32882031 van Holm EJ; Wyczalkowski CK; Dantzler PA J Public Health (Oxf) 2021[Jun]; 43 (2): 219-224 PMID32882031show ga The early outbreak of coronavirus disease-2019 (COVID)-19 became associated with various 'hot spots' in the USA, particularly in large cities. However, despite the widespread nature of the outbreak, much of what is known about the virus' impact and clusters is understood either for individuals, or at the state level. This paper assesses the predictors of outbreaks at the neighborhood level. Using data from the Louisiana Department of Health, we use spatial regression models to analyze the case count through 3 May 2020 and its relationship to individual and geographic neighborhood characteristics at the census tract level. We find a particularly strong and large correlation between race and COVID-19 cases, robust to model specification and spatial autocorrelation. In addition, neighborhoods with lower rates of poverty and those with fewer residents over 70 have fewer cases. Policy makers should adjust testing strategies to better service the hardest hit populations, particularly minorities and the elderly. In addition, the results are greater evidence of the impact of systemic issues on health, which require a long-term strategy for redress. |*COVID-19[MESH] |Aged[MESH] |Cities[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Louisiana/epidemiology[MESH] |Residence Characteristics[MESH]Neighborhood conditions and the initial outbreak of COVID-19: the case(epmc).pdf DeepDyve Pubget Overpricing