Activity-driven network modeling and epidemic strains control

Epidemic models allow us to study how diseases like COVID-19 spread in the population. However, these models typically consider the spread of a single disease or strain and do not consider the cases in which multiple, interacting diseases or strains are present, such as the recent Delta and Omicron variants.

For their new research, our own Daniel Alberto Burbano Lombana and Prof.Maurizio Porfiri collaborated with Lorenzo Zino (University of Groningen), Prof. Sachit Butail (Northern Illinois University), Prof. Emanuele Caroppo (Università Cattolica del Sacro Cuore), Prof. Zhong-Ping Jiang (New York University), and Prof. Alessandro Rizzo (Politecnico di Torino).
Together, they proposed a model to study the spreading of two concurrent epidemic strains over activity-driven network. The study analyzes the evolution of the two strains, along with the possibility of controlling the spread, such as through intermittent stay-at-home containment strategies.

Read the paper “Activity-driven network modeling and control of the spread of two concurrent epidemic strains”, published in Applied Network Science, here.

Image credit: Daniel Alberto Burbano Lombana, et al.