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.
Contact Network Modeling of Flu Epidemics / Ian X. Y. Leung; Gareth Gibbs; Franco Bagnoli; Anil Sorathiya; Pietro Lio'. - STAMPA. - 5191:(2008), pp. 354-361. (Intervento presentato al convegno 8th International Conference on Cellular Aotomata for Reseach and Industry, ACRI 2008 tenutosi a Yokohama, Japan nel September 23-26, 2008) [10.1007/978-3-540-79992-4_45].
Contact Network Modeling of Flu Epidemics
BAGNOLI, FRANCO;
2008
Abstract
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.File | Dimensione | Formato | |
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