Understanding how many should adhere to public health measures to contain the spread of COVID-19 is critical to stop the diffusion of the virus. Our collaborator, Prof. Alessandro Rizzo, presented our research on this topic during a minisymposium at the 2021 SIAM Conference on Applications of Dynamical Systems in May 2021.
Read the post on SIAM News blog here.
Read the full paper “How adherence to public health measures shapes epidemic spreading: A temporal network model” authored by Brandon Behring, Alessandro Rizzo, and Maurizio Porfiri and published in Chaos here.
Image credit: Anna Sawulska and Maurizio Porfiri.