Assessing COVID-19 risk with temporal indices and geographically weighted ordinal logistic regression in US counties.
Vivian Yi-Ju ChenKiwoong ParkFeinuo SunTse-Chuan YangPublished in: PloS one (2022)
The COVID-19 infection risk levels differ greatly across the US and their associations with structural inequality and sociodemographic composition are spatially non-stationary, suggesting that the same stimulus may not lead to the same change in COVID-19 risk. Potential interventions to lower COVID-19 risk should adopt a place-based perspective.