Cargando…
Identifying Communities at Risk for COVID-19–Related Burden Across 500 US Cities and Within New York City: Unsupervised Learning of the Coprevalence of Health Indicators
BACKGROUND: Although it is well-known that older individuals with certain comorbidities are at the highest risk for complications related to COVID-19 including hospitalization and death, we lack tools to identify communities at the highest risk with fine-grained spatial resolution. Information colle...
Autores principales: | Deonarine, Andrew, Lyons, Genevieve, Lakhani, Chirag, De Brouwer, Walter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396545/ https://www.ncbi.nlm.nih.gov/pubmed/34280122 http://dx.doi.org/10.2196/26604 |
Ejemplares similares
-
Constructing Within-City Neighborhood Health Rankings in Philadelphia by Using Data From the 500 Cities Project
por: Whitley, Jessica, et al.
Publicado: (2021) -
Coprevalence of parasitic infections and diabetes in Sub-Himalayan region of Northern India
por: Moudgil, Vaishali, et al.
Publicado: (2019) -
York City Asylum
Publicado: (1907) -
New York City
Publicado: (1896) -
Chronic Disease, the Built Environment, and Unequal Health Risks in the 500 Largest U.S. Cities
por: Fitzpatrick, Kevin M., et al.
Publicado: (2020)