AN INDIVIDUAL-BASED NETWORKED MODEL WITH PROBABILISTIC RELOCATION OF PEOPLE AND VECTORS AMONG LOCATIONS FOR SIMULATING THE SPREAD OF INFECTIOUS DISEASES
Authored by Pierpaolo Vittorini, Antonella Villani, Orio Ferdinando Di
Date Published: 2010
DOI: 10.1142/s0218339010003548
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Abstract
Eubank et al. propose to study the spread of infectious disease in large
urban environments using dynamic bipartite graph modeling the contact
pattern, and computer simulations to estimate the evolution of
epidemics. Eubank's approach requires a detailed knowledge of
individuals, daily routine. In our work we would generalize the model by
introducing a stochastic relocation of people and vectors among
locations, thanks to distribution functions. Computer simulations are
used to produce the infection and death processes. Finally, the paper
presents two case studies. The first case study emphasizes the effect of
using probabilistic relocation in a particular social network, while the
second discusses how vector-borne diseases could be taken into account.
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Plasmodium-falciparum malaria