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Host Resistance, Population Structure and the Long-Term Persistence of Bubonic Plague: Contributions of a Modelling Approach in the Malagasy Focus

Overview of attention for article published in PLoS Computational Biology, May 2013
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Title
Host Resistance, Population Structure and the Long-Term Persistence of Bubonic Plague: Contributions of a Modelling Approach in the Malagasy Focus
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003039
Pubmed ID
Authors

Fanny Gascuel, Marc Choisy, Jean-Marc Duplantier, Florence Débarre, Carine Brouat

Abstract

Although bubonic plague is an endemic zoonosis in many countries around the world, the factors responsible for the persistence of this highly virulent disease remain poorly known. Classically, the endemic persistence of plague is suspected to be due to the coexistence of plague resistant and plague susceptible rodents in natural foci, and/or to a metapopulation structure of reservoirs. Here, we test separately the effect of each of these factors on the long-term persistence of plague. We analyse the dynamics and equilibria of a model of plague propagation, consistent with plague ecology in Madagascar, a major focus where this disease is endemic since the 1920s in central highlands. By combining deterministic and stochastic analyses of this model, and including sensitivity analyses, we show that (i) endemicity is favoured by intermediate host population sizes, (ii) in large host populations, the presence of resistant rats is sufficient to explain long-term persistence of plague, and (iii) the metapopulation structure of susceptible host populations alone can also account for plague endemicity, thanks to both subdivision and the subsequent reduction in the size of subpopulations, and extinction-recolonization dynamics of the disease. In the light of these results, we suggest scenarios to explain the localized presence of plague in Madagascar.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Madagascar 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Ph. D. Student 17 20%
Student > Master 15 18%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 14 17%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 33%
Environmental Science 13 15%
Medicine and Dentistry 7 8%
Biochemistry, Genetics and Molecular Biology 5 6%
Immunology and Microbiology 3 4%
Other 14 17%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 November 2018.
All research outputs
#21,086,184
of 25,899,121 outputs
Outputs from PLoS Computational Biology
#8,304
of 9,068 outputs
Outputs of similar age
#157,783
of 206,877 outputs
Outputs of similar age from PLoS Computational Biology
#102
of 115 outputs
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