Farm productive realities and the dynamics of bovine viral diarrhea (BVD) transmission
B Iotti, E Valdano, L Savini, L Candeloro, A Giovannini, S Rosati, V Colizza, M Giacobini
The paper multiscale metapopulation model for the diffusion of BVD virus that takes into account both the generation of new PIs dynamics within a herd, and the diffusion of PIs through the Italian national bovine trade network. The main goal of this work is to highlight the role that farms belonging to different productive compartments play in this pathogen diffusion dynamics. The work is a collaboration with the Vet Sciences Dept of the University of Turin and the Italian Animal Health Agency.
The impact of regular school closure on seasonal influenza epidemics: a data-driven spatial transmission model for Belgium
G De Luca, K Van Kerckhove, P Coletti, C Poletto, N Bossuyt, N Hens, V Colizza
The closure of school is repeatedly discussed in the framework of mitigating strategies for influenza and a large literature is available on the topic. No clear conclusions can however be drawn from contrasting available empirical or modeling evidence, making this issue highly debated and still unclear. In our study we propose a data-driven spatially explicit modeling approach to identify the behavioral mechanisms responsible for influenza mitigation during school holidays and explore their impact in different experimental scenarios. The work is a collaboration with Prof. Niel Hens’s group at Hasselt University.
Social fluidity mobilizes contagion in human and animal populations
E Colman, V Colizza, EM Hanks, AP Modlmeier, DP Hughes, S Bansal
Humans and other group-living animals tend to distribute their social effort heterogeneously; individuals predominantly interact with their closest companions while maintaining weaker social bonds with less familiar group members. We introduce a mathematical model that incorporates this heterogeneity through a single parameter, called social fluidity, that controls the level of social mixing in the population. The work marks the first collaboration with Prof. Shweta Bansal’s group at Georgetown University.