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Host Mobility Drives Pathogen Competition in Spatially Structured Populations

Overview of attention for article published in PLoS Computational Biology, August 2013
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Title
Host Mobility Drives Pathogen Competition in Spatially Structured Populations
Published in
PLoS Computational Biology, August 2013
DOI 10.1371/journal.pcbi.1003169
Pubmed ID
Authors

Chiara Poletto, Sandro Meloni, Vittoria Colizza, Yamir Moreno, Alessandro Vespignani

Abstract

Interactions among multiple infectious agents are increasingly recognized as a fundamental issue in the understanding of key questions in public health regarding pathogen emergence, maintenance, and evolution. The full description of host-multipathogen systems is, however, challenged by the multiplicity of factors affecting the interaction dynamics and the resulting competition that may occur at different scales, from the within-host scale to the spatial structure and mobility of the host population. Here we study the dynamics of two competing pathogens in a structured host population and assess the impact of the mobility pattern of hosts on the pathogen competition. We model the spatial structure of the host population in terms of a metapopulation network and focus on two strains imported locally in the system and having the same transmission potential but different infectious periods. We find different scenarios leading to competitive success of either one of the strain or to the codominance of both strains in the system. The dominance of the strain characterized by the shorter or longer infectious period depends exclusively on the structure of the population and on the the mobility of hosts across patches. The proposed modeling framework allows the integration of other relevant epidemiological, environmental and demographic factors, opening the path to further mathematical and computational studies of the dynamics of multipathogen systems.

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Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Italy 2 2%
France 2 2%
Netherlands 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Australia 1 <1%
Spain 1 <1%
India 1 <1%
Other 0 0%
Unknown 104 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 30%
Student > Ph. D. Student 29 25%
Student > Bachelor 10 8%
Professor > Associate Professor 10 8%
Student > Master 9 8%
Other 18 15%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 28%
Physics and Astronomy 22 19%
Medicine and Dentistry 13 11%
Environmental Science 10 8%
Mathematics 10 8%
Other 18 15%
Unknown 12 10%