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Assessing COVID-19 risk with temporal indices and geographically weighted ordinal logistic regression in US counties.

Vivian Yi-Ju ChenKiwoong ParkFeinuo SunTse-Chuan Yang
Published 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.
Keyphrases
  • coronavirus disease
  • sars cov
  • magnetic resonance
  • magnetic resonance imaging
  • physical activity
  • computed tomography
  • climate change
  • mass spectrometry