In this work we analyze the complexity of a disease that spreads among two populations and in which the transmission routes are available only throught individuals of the two different families. This peculiar route is typical of diseases such as sexual transmitted diseases on heterosexual populations or vector-host diseases such as tick-borne encephalitis or Lyme borreliosis. In such epidemiological scenarios, the contact network is naturally represented by a bipartite graphs. In this article we determine that a pathogen agent spreading on a bipartite network can have some evolutionary benefits with respect to diffusing on standard unipartite networks.

Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?

FERRERI, LUCA;VENTURINO, Ezio;GIACOBINI, Mario Dante Lucio
2011-01-01

Abstract

In this work we analyze the complexity of a disease that spreads among two populations and in which the transmission routes are available only throught individuals of the two different families. This peculiar route is typical of diseases such as sexual transmitted diseases on heterosexual populations or vector-host diseases such as tick-borne encephalitis or Lyme borreliosis. In such epidemiological scenarios, the contact network is naturally represented by a bipartite graphs. In this article we determine that a pathogen agent spreading on a bipartite network can have some evolutionary benefits with respect to diffusing on standard unipartite networks.
2011
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 9th European Conference EvoBIO 2011
Torino
2011
Proceedings of the 9th European Conference EvoBIO 2011
Springer Verlag
6623
141
146
http://dx.doi.org/10.1007/978-3-642-20389-3_14
epidemiology; network; bipartite graph; scale-free; vector-borne disease; epidemic threshold
Ferreri, Luca; Venturino, Ezio; Giacobini, Mario Dante Lucio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/84664
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