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
BackgroundAlthough 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 collect...
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| Main Authors: | , , , |
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| Format: | Book |
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JMIR Publications,
2021-08-01T00:00:00Z.
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A1234.567 |
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