Cargando…
Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods
Background: A key to an effective Coronavirus 2019 (COVID-19) Community Intervention is to understand populations who are most vulnerable to it. We aimed at evaluating characteristics of New York City communities where rates of confirmed COVID-19 cases were particularly high. Methods: The study outc...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Minnesota Libraries Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120001/ https://www.ncbi.nlm.nih.gov/pubmed/35601586 http://dx.doi.org/10.24926/iip.v12i3.3379 |
_version_ | 1784710809111232512 |
---|---|
author | Gu, Anna Shafeeq, Hira Chen, Ting Gadhoke, Preety |
author_facet | Gu, Anna Shafeeq, Hira Chen, Ting Gadhoke, Preety |
author_sort | Gu, Anna |
collection | PubMed |
description | Background: A key to an effective Coronavirus 2019 (COVID-19) Community Intervention is to understand populations who are most vulnerable to it. We aimed at evaluating characteristics of New York City communities where rates of confirmed COVID-19 cases were particularly high. Methods: The study outcomes - neighborhood-specific confirmed COVID-19 cases, positive tests, and COVID-19 attributable deaths were calculated using data extracted from the New York City government health website, which were linked to results from Community Health Survey. Distributions of study outcomes across New York City community districts and their associations with neighborhood characteristics were examined using Jonckheere-Terpstra tests. Results: As of May 21, 2010, rates of confirmed cases ranged from 0.8% (Greenwich Village and Soho) to 3.9% (Jackson Heights), and the rates of attributable death from to 0.6‰ (Greenwich Village and Soho) to 4.2‰ (Coney Island). Higher percentages of black, Hispanic and foreign-born populations, lower educational attainment, poverty, lack of health insurance, and suboptimal quality of health care were all factors found to be correlated with increased rates of confirmed COVID-19 cases. Conclusions: The epidemiology of COVID-19 exhibited great variations among neighborhoods in New York City. Community interventions aimed at COVID-19 prevention and mitigation should place high priorities in areas with large populations of blacks and Hispanics and economically disadvantages areas. |
format | Online Article Text |
id | pubmed-9120001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | University of Minnesota Libraries Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-91200012022-05-20 Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods Gu, Anna Shafeeq, Hira Chen, Ting Gadhoke, Preety Innov Pharm Original Research Background: A key to an effective Coronavirus 2019 (COVID-19) Community Intervention is to understand populations who are most vulnerable to it. We aimed at evaluating characteristics of New York City communities where rates of confirmed COVID-19 cases were particularly high. Methods: The study outcomes - neighborhood-specific confirmed COVID-19 cases, positive tests, and COVID-19 attributable deaths were calculated using data extracted from the New York City government health website, which were linked to results from Community Health Survey. Distributions of study outcomes across New York City community districts and their associations with neighborhood characteristics were examined using Jonckheere-Terpstra tests. Results: As of May 21, 2010, rates of confirmed cases ranged from 0.8% (Greenwich Village and Soho) to 3.9% (Jackson Heights), and the rates of attributable death from to 0.6‰ (Greenwich Village and Soho) to 4.2‰ (Coney Island). Higher percentages of black, Hispanic and foreign-born populations, lower educational attainment, poverty, lack of health insurance, and suboptimal quality of health care were all factors found to be correlated with increased rates of confirmed COVID-19 cases. Conclusions: The epidemiology of COVID-19 exhibited great variations among neighborhoods in New York City. Community interventions aimed at COVID-19 prevention and mitigation should place high priorities in areas with large populations of blacks and Hispanics and economically disadvantages areas. University of Minnesota Libraries Publishing 2021-06-10 /pmc/articles/PMC9120001/ /pubmed/35601586 http://dx.doi.org/10.24926/iip.v12i3.3379 Text en © Individual authors https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which permits noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Gu, Anna Shafeeq, Hira Chen, Ting Gadhoke, Preety Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods |
title | Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods |
title_full | Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods |
title_fullStr | Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods |
title_full_unstemmed | Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods |
title_short | Factors Associated with COVID-19 Infection, Hospitalization and Death in New York City Neighborhoods |
title_sort | factors associated with covid-19 infection, hospitalization and death in new york city neighborhoods |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120001/ https://www.ncbi.nlm.nih.gov/pubmed/35601586 http://dx.doi.org/10.24926/iip.v12i3.3379 |
work_keys_str_mv | AT guanna factorsassociatedwithcovid19infectionhospitalizationanddeathinnewyorkcityneighborhoods AT shafeeqhira factorsassociatedwithcovid19infectionhospitalizationanddeathinnewyorkcityneighborhoods AT chenting factorsassociatedwithcovid19infectionhospitalizationanddeathinnewyorkcityneighborhoods AT gadhokepreety factorsassociatedwithcovid19infectionhospitalizationanddeathinnewyorkcityneighborhoods |