New statistical model predicts which cities could become 'superspreaders'
Published Date: 3/18/2021
Source: phys.org
Researchers have developed a new statistical model that predicts which cities are more likely to become infectious disease hotspots, based both on interconnectivity between cities and the idea that some cities are more suitable environments for infection than others. Brandon Lieberthal and Allison Gardner of the University of Maine present these findings in the open-access journal PLOS Computational Biology.