Indicators of lower urban development (single lane roads and green streets) were connected with fewer COVID-19 cases.
Indicators of mixed land use (non-single family home), walkability (sidewalks), and physical disorder (dilapidated buildings and visible wires) were connected with higher COVID-19 cases. We utilized Poisson regression models to determine associations of built environment characteristics with COVID-19 cases.
We leveraged Google Street View (GSV) images and computer vision to detect built environment features (presence of a crosswalk, non-single family home, single-lane roads, dilapidated building and visible wires). Neighborhood built environments that allow greater flow of people into an area or impede social distancing practices may increase residents' risk for contracting the virus. Neighborhood environments may structure risks and resources that produce COVID-19 disparities. The spread of COVID-19 is not evenly distributed.
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