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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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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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17 X users
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2 Google+ users

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120 Mendeley
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 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 106 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 29%
Student > Ph. D. Student 29 24%
Professor > Associate Professor 10 8%
Student > Bachelor 10 8%
Student > Master 8 7%
Other 21 18%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 28%
Physics and Astronomy 22 18%
Medicine and Dentistry 13 11%
Mathematics 10 8%
Environmental Science 9 8%
Other 21 18%
Unknown 12 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2014.
All research outputs
#3,116,387
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#2,782
of 8,964 outputs
Outputs of similar age
#25,621
of 207,750 outputs
Outputs of similar age from PLoS Computational Biology
#24
of 104 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 207,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.