@incollection{statphys23_0884,
title = {Agent-based model for epidemic dynamics},
address = {Genova, Italy},
author = {M.F.C. Gomes and M. Kuperman and S. Gonçalves},
booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
editor = {Luciano Pietronero and Vittorio Loreto and Stefano Zapperi},
month = {9-13 July},
url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=884},
year = {2007},
abstract = {The theoretical study on epidemic dynamics can be made in several distinct ways, namely mean field models with the use of differential equations; theory of percolation, which tries to model the contact network in a given population and its role on the propagation process; and, most recently, by means of agent-based models. This last approach tries to understand what role agents mobility amongst the population plays in the epidemic dynamic. This research presents different velocities distributions and interaction laws in a agent-based SIS model (Susceptible-Infected-Susceptible), where there is no acquired immunity an any infected subject becomes susceptible again after a certain period of time the infection period. Such epidemiological structure can give a stationary solution endemic state - which depends on the velocity distribution an interaction law.},
keywords = {agent-based epidemiology model models sis statphys23 topic-10 }
}
::