Literature DB >> 16196976

Threshold effects for two pathogens spreading on a network.

M E J Newman1.   

Abstract

Diseases spread through host populations over the networks of contacts between individuals and a number of results about this process have been derived in recent years by exploiting connections between epidemic processes and bond percolation on networks. Here we investigate the case of two pathogens in a single population, which has been the subject of recent interest among epidemiologists. We demonstrate that two pathogens competing for the same hosts can both spread through a population only for intermediate values of the bond occupation probability that lie above the classic epidemic threshold and below a second higher value, which we call the coexistence threshold, corresponding to a distinct topological phase transition in networked systems.

Mesh:

Year:  2005        PMID: 16196976     DOI: 10.1103/PhysRevLett.95.108701

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  37 in total

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8.  Temporal percolation of the susceptible network in an epidemic spreading.

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9.  A stochastic Markov chain model to describe lung cancer growth and metastasis.

Authors:  Paul K Newton; Jeremy Mason; Kelly Bethel; Lyudmila A Bazhenova; Jorge Nieva; Peter Kuhn
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10.  Evolution and emergence of infectious diseases in theoretical and real-world networks.

Authors:  Gabriel E Leventhal; Alison L Hill; Martin A Nowak; Sebastian Bonhoeffer
Journal:  Nat Commun       Date:  2015-01-16       Impact factor: 14.919

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