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...

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Detalles Bibliográficos
Autores principales: Deonarine, Andrew, Lyons, Genevieve, Lakhani, Chirag, De Brouwer, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396545/
https://www.ncbi.nlm.nih.gov/pubmed/34280122
http://dx.doi.org/10.2196/26604

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