Abstract:An understanding of how infected-susceptible populations interact is
critical to identify underlying causal factors and disease transmission
patterns of infectious diseases. Disease transmission patterns are
dynamic, non-linear, and spatially complex. This anisotropic
characteristic of disease spread necessitates the ideal solution to be
sensitive to the geographic context. A Spatial Diffusion Model (SDM) to
predict interaction potential and COVID-19 risk probability is developed
by adapting the Newtonian grav… Show more
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