Spatial Analysis of COVID-19: Risk of Infection and Prevention in New York City Communities

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This report considers a spatial analysis of COVID-19 infection in New York City in 2020, examining areas where high risk factors and lack of social distancing converge. Ultimately, the following areas are identified using publicly available data: (1) the communities of New York City that pose the highest risk for contracting COVID-19 according to demographics, and (2), areas that were hit particularly hard in 2020 so that they can be monitored and provided with resources more quickly (should another wave hit). Five main demographic characteristics were identified as higher risk for COVID-19 infection: age, minority populations, income below poverty level, high number of household members, and households with at least one disabled resident. Data from 311 calls which reported a lack of abidance with social distancing were overlaid with high-risk demographic characteristics by zip code to identify zip codes which would benefit most from the deployment of resources to mitigate the spread of COVID-19.