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Dataset Information

State variation in neighborhood COVID-19 burden across the United States.


ABSTRACT:

Background

A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 infection burden has been distributed across neighborhoods, a key determinant of both risk and resilience. Without more spatially resolute data, efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities will remain difficult to quantify and intervene on.

Methods

We leveraged spatially-referenced data from 21 states collated through the COVID Neighborhood Project to examine the distribution of COVID-19 cases across neighborhoods and states in the U.S. We also linked the COVID-19 case data with data on the neighborhood social environment from the National Neighborhood Data Archive. We then estimated correlations between neighbo

SUBMITTER: Noppert GA 

PROVIDER: S-EPMC10907669 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature