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Neighborhood Disadvantage Measures and COVID-19 Cases in Boston, 2020
Margaret E Samuels-Kalow1, Stephen Dorner1, Rebecca E Cash1
12348 Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Disadvantaged neighborhoods, particularly those with higher Hispanic and poverty rates, experienced more coronavirus disease 2019 (COVID-19) cases. These findings highlight health inequities that require policy consideration for pandemic response.
Area of Science:
- Public Health
- Epidemiology
- Health Equity
Background:
- Understanding population risk for coronavirus disease 2019 (COVID-19) is crucial for health systems and policymakers.
- Identifying neighborhood factors associated with COVID-19 incidence is essential for targeted interventions.
Purpose of the Study:
- To describe the association between neighborhood factors and the number of COVID-19 cases.
- To test the hypothesis that disadvantaged neighborhoods are associated with clusters of COVID-19 cases.
Main Methods:
- Analysis of data from 9898 COVID-19 patients in a Boston healthcare system (February 5-May 4, 2020).
- Used bivariate local join-count procedures to assess colocation of neighborhood characteristics and COVID-19 cases.
- Employed negative binomial models to evaluate independent associations between neighborhood factors and COVID-19 incidence.
Main Results:
- Significant colocation was found between high rates of Hispanic and non-Hispanic Black populations, lack of health insurance, poverty, and Supplemental Nutrition Assistance Program (SNAP) benefits with high COVID-19 case clusters.
- Increased COVID-19 incidence was associated with higher percentages of Hispanic population (IRR=1.25) and households living in poverty (IRR=1.25).
- Adjusted incidence per census tract ranged from 2 to 405 per 10,000 population.
Conclusions:
- A significant association exists between disadvantaged neighborhoods and higher rates of COVID-19.
- Health inequities related to neighborhood disadvantage must be considered by policymakers during pandemic response and future health planning.
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