A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Optimizing Urban Mobility Restrictions: a Multi-Agent System (MAS) for SARS-CoV-2
[article]
2021
arXiv
pre-print
Infectious epidemics can be simulated by employing dynamical processes as interactions on network structures. Here, we introduce techniques from the Multi-Agent System (MAS) domain in order to account for individual level characterization of societal dynamics for the SARS-CoV-2 pandemic. We hypothesize that a MAS model which considers rich spatial demographics, hourly mobility data and daily contagion information from the metropolitan area of Toronto can explain significant emerging behavior.
arXiv:2110.01006v1
fatcat:3cenamwe75d23gyaorbbjsvwe4