A new
computational analysis suggests that, beyond the initial effect of one infected
person arriving and spreading disease to a previously uninfected population,
the continuous arrival of more infected individuals has a significant influence
on the evolution and severity of the local outbreak. IFISC researchers’ Mattia
Mazzoli, Jose Javier Ramasco, and colleagues present these findings in the
open-access journal PLOS Computational Biology.
In light
of the ongoing COVID-19 pandemic, much re...
