Using actual census, family and age structure, land-use and population-mobility data, we develop a stochastic cellular automata on a social contact network to study the propagation of influenza epidemics in the UK. In particular, we address age dependency and obtain the contact networks through the analysis of location co-presence. We analyze infection propensities as well as vaccination techniques. The results indicate the relative merits of different vaccination strategies combined with early detection without resorting to mass vaccination of a population. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Leung, I. X. Y., Gibbs, G., Bagnoli, F., Sorathiya, A., & Liò, P. (2008). Contact network modeling of flu epidemics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5191 LNCS, pp. 354–361). https://doi.org/10.1007/978-3-540-79992-4_45
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