Modeling the spread of vector-borne diseases on bipartite networks.

<h4>Background</h4>Vector-borne diseases for which transmission occurs exclusively between vectors and hosts can be modeled as spreading on a bipartite network.<h4>Methodology/principal findings</h4>In such models the spreading of the disease strongly depends on the degree di...

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Autores principales:	Donal Bisanzio, Luigi Bertolotti, Laura Tomassone, Giusi Amore, Charlotte Ragagli, Alessandro Mannelli, Mario Giacobini, Paolo Provero
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/20b20e96d2f744f2ab1393ebb6a57017
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id	oai:doaj.org-article:20b20e96d2f744f2ab1393ebb6a57017
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spelling	oai:doaj.org-article:20b20e96d2f744f2ab1393ebb6a570172021-11-18T07:36:53ZModeling the spread of vector-borne diseases on bipartite networks.1932-620310.1371/journal.pone.0013796https://doaj.org/article/20b20e96d2f744f2ab1393ebb6a570172010-11-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21103064/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Vector-borne diseases for which transmission occurs exclusively between vectors and hosts can be modeled as spreading on a bipartite network.<h4>Methodology/principal findings</h4>In such models the spreading of the disease strongly depends on the degree distribution of the two classes of nodes. It is sufficient for one of the classes to have a scale-free degree distribution with a slow enough decay for the network to have asymptotically vanishing epidemic threshold. Data on the distribution of Ixodes ricinus ticks on mice and lizards from two independent studies are well described by a scale-free distribution compatible with an asymptotically vanishing epidemic threshold. The commonly used negative binomial, instead, cannot describe the right tail of the empirical distribution.<h4>Conclusions/significance</h4>The extreme aggregation of vectors on hosts, described by the power-law decay of the degree distribution, makes the epidemic threshold decrease with the size of the network and vanish asymptotically.Donal BisanzioLuigi BertolottiLaura TomassoneGiusi AmoreCharlotte RagagliAlessandro MannelliMario GiacobiniPaolo ProveroPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 11, p e13796 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Donal Bisanzio Luigi Bertolotti Laura Tomassone Giusi Amore Charlotte Ragagli Alessandro Mannelli Mario Giacobini Paolo Provero Modeling the spread of vector-borne diseases on bipartite networks.
description	<h4>Background</h4>Vector-borne diseases for which transmission occurs exclusively between vectors and hosts can be modeled as spreading on a bipartite network.<h4>Methodology/principal findings</h4>In such models the spreading of the disease strongly depends on the degree distribution of the two classes of nodes. It is sufficient for one of the classes to have a scale-free degree distribution with a slow enough decay for the network to have asymptotically vanishing epidemic threshold. Data on the distribution of Ixodes ricinus ticks on mice and lizards from two independent studies are well described by a scale-free distribution compatible with an asymptotically vanishing epidemic threshold. The commonly used negative binomial, instead, cannot describe the right tail of the empirical distribution.<h4>Conclusions/significance</h4>The extreme aggregation of vectors on hosts, described by the power-law decay of the degree distribution, makes the epidemic threshold decrease with the size of the network and vanish asymptotically.
format	article
author	Donal Bisanzio Luigi Bertolotti Laura Tomassone Giusi Amore Charlotte Ragagli Alessandro Mannelli Mario Giacobini Paolo Provero
author_facet	Donal Bisanzio Luigi Bertolotti Laura Tomassone Giusi Amore Charlotte Ragagli Alessandro Mannelli Mario Giacobini Paolo Provero
author_sort	Donal Bisanzio
title	Modeling the spread of vector-borne diseases on bipartite networks.
title_short	Modeling the spread of vector-borne diseases on bipartite networks.
title_full	Modeling the spread of vector-borne diseases on bipartite networks.
title_fullStr	Modeling the spread of vector-borne diseases on bipartite networks.
title_full_unstemmed	Modeling the spread of vector-borne diseases on bipartite networks.
title_sort	modeling the spread of vector-borne diseases on bipartite networks.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/20b20e96d2f744f2ab1393ebb6a57017
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Modeling the spread of vector-borne diseases on bipartite networks.

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