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10.1093/pubmed/fdaa078 http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa078 32530033!7313894!32530033     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       J+Public+Health+(Oxf) 2020 ; 42 (3): 466-469 Nephropedia Template TP {{tp|p=32530033|t=2020. Descriptive analysis of social determinant factors in urban communities affected by COVID-19 |pdf=|usr=}}{{32530033}} gab.com Text Descriptive analysis of social determinant factors in urban communities affected by COVID-19 JO: J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32530033 #FOAvip OBJECTIVES: To provide a descriptive analysis of communities severely impacted by COVID-19 to that of communities moderately affected by COVID-19, with an emphasis on the social determinant factors within them. METHODS: To compare the communities with extremely high COVID-19 rates to that of communities with moderate COVID-19 cases, we selected six community districts in Queens, New York using public data from New York City Health Department that provides the percentage of positive COVID-19 cases by zip codes from March 1st, 2020 to April 17th, 2020. RESULTS: The results of the study showed that COVID-19 cases were 30% greater in communities with extremely high cases than in communities with moderate cases. There were also the several outstanding social determinants commonalities that were found in communities with extremely high COVID-19 cases. These include severe overcrowding, lower educational status, less access to healthcare, and more chronic diseases. CONCLUSION: This study adds to existing literature on vulnerable urban communities affected by COVID-19. Future studies should focus on the underlying factors in each social determinant discussed in this study to better understand its association with the spread of COVID-19. Twit Text FOAVip Descriptive analysis of social determinant factors in urban communities affected by COVID-19 ????J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32530033 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32530033 #FOAvip English Wikipedia <ref>{{Cite pmid|32530033}}</ref> Descriptive analysis of social determinant factors in urban communities affected by COVID-19 #MMPMID32530033 Harlem G J Public Health (Oxf) 2020[Aug]; 42 (3): 466-469 PMID32530033show ga OBJECTIVES: To provide a descriptive analysis of communities severely impacted by COVID-19 to that of communities moderately affected by COVID-19, with an emphasis on the social determinant factors within them. METHODS: To compare the communities with extremely high COVID-19 rates to that of communities with moderate COVID-19 cases, we selected six community districts in Queens, New York using public data from New York City Health Department that provides the percentage of positive COVID-19 cases by zip codes from March 1st, 2020 to April 17th, 2020. RESULTS: The results of the study showed that COVID-19 cases were 30% greater in communities with extremely high cases than in communities with moderate cases. There were also the several outstanding social determinants commonalities that were found in communities with extremely high COVID-19 cases. These include severe overcrowding, lower educational status, less access to healthcare, and more chronic diseases. CONCLUSION: This study adds to existing literature on vulnerable urban communities affected by COVID-19. Future studies should focus on the underlying factors in each social determinant discussed in this study to better understand its association with the spread of COVID-19. |*Population Surveillance[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Child[MESH] |Child, Preschool[MESH] |Chronic Disease/*epidemiology[MESH] |Coronavirus Infections/*epidemiology/*psychology[MESH] |Female[MESH] |Forecasting[MESH] |Humans[MESH] |Infant[MESH] |Infant, Newborn[MESH] |Male[MESH] |Middle Aged[MESH] |New York City/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*psychology[MESH] |SARS-CoV-2[MESH] |Social Determinants of Health/*statistics & numerical data/*trends[MESH] |Urban Population/*statistics & numerical data[MESH]Descriptive analysis of social determinant factors in urban communitie(epmc).pdf DeepDyve Pubget Overpricing