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Journal article
Validation of a neighborhood-level COVID Local Risk Index in 47 large U.S. cities
Health & place, v 76, 102814
Jul 2022
PMID: 35623163
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
To present the COVID Local Risk Index (CLRI), a measure of city- and neighborhood-level risk for SARS COV-2 infection and poor outcomes, and validate it using sub-city SARS COV-2 outcome data from 47 large U.S. cities.
Cross-sectional validation analysis of CLRI against SARS COV-2 incidence, percent positivity, hospitalization, and mortality. CLRI scores were validated against ZCTA-level SARS COV-2 outcome data gathered in 2020–2021 from public databases or through data use agreements using a negative binomial model.
CLRI was associated with each SARS COV-2 outcome in pooled analysis. In city-level models, CLRI was positively associated with positivity in 11/14 cities for which data were available, hospitalization in 6/6 cities, mortality in 13/14 cities, and incidence in 33/47 cities.
CLRI is a valid tool for assessing sub-city risk of SARS COV-2 infection and illness severity. Stronger associations with positivity, hospitalization and mortality may reflect differential testing access, greater weight on components associated with poor outcomes than transmission, omitted variable bias, or other reasons. City stakeholders can use the CLRI, publicly available on the City Health Dashboard (www.cityhealthdashboard.com), to guide SARS COV-2 resource allocation.
•The CLRI was associated with three important SARS COV-2 outcomes in most cities.•Associations between CLRI and SARS COV-2 incidence were weaker & more heterogeneous.•The CLRI can guide resource allocation to combat the SARS COV-2 pandemic in cities.
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Details
- Title
- Validation of a neighborhood-level COVID Local Risk Index in 47 large U.S. cities
- Creators
- Ben R. Spoer - New York UniversityEdwin McCulley - Department of Epidemiology and Biostatistics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USATaylor M. Lampe - New York UniversityPei Yang Hsieh - New York UniversityAlexander Chen - New York UniversityRebecca Ofrane - New York UniversityHeather Rollins - Department of Epidemiology and Biostatistics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USALorna E. Thorpe - New York UniversityUsama Bilal - Department of Epidemiology and Biostatistics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USAMarc N. Gourevitch - New York University
- Publication Details
- Health & place, v 76, 102814
- Publisher
- Elsevier
- Grant note
- Robert Wood Johnson Foundation (https://doi.org/10.13039/100000867) NIH
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000808096600003
- Scopus ID
- 2-s2.0-85130581193
- Other Identifier
- 991019169915504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health