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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
- Source :
- PLoS Computational Biology, Vol 9, Iss 5, p e1003039 (2013), PLoS Computational Biology, PLoS Computational Biology, Public Library of Science, 2013, 9 (5), ⟨10.1371/journal.pcbi.1003039⟩, PLoS Computational Biology, 2013, 9 (5), ⟨10.1371/journal.pcbi.1003039⟩, Plos Computational Biology 5 (9), . (2013)
- Publication Year :
- 2013
- Publisher :
- Public Library of Science (PLoS), 2013.
-
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.<br />Author Summary Bubonic plague, known to have marked human history by three deadly pandemics, is an infectious disease which mainly circulates in wild rodent populations and is transmitted by fleas. Although this disease can be quickly lethal to its host, it has persisted on long-term in many rodent populations around the world. The reasons for this persistence remain poorly known. Two mechanisms have been invoked, but not yet explicitly and independently tested: first, the spatial structure of rodent populations (subdivision into several subpopulations) and secondly, the presence of, not only plague-susceptible rodents, but also plague-resistant ones. To gain insight into the role of the above two factors in plague persistence, we analysed a mathematical model of plague propagation. We applied our analyses to the case of Madagascar, where plague has persisted on central highlands since the 1920s and is responsible for about 30% of the human cases worldwide. We found that the long-term persistence of plague can be explained by the presence of any of the above two factors. These results allowed us to propose scenarios to explain the localized presence of plague in the Malagasy highlands, and help understand the persistence of plague in many wild foci.
- Subjects :
- Endemic Diseases
Epidemiology
[SDV]Life Sciences [q-bio]
Population Modeling
TAILED PRAIRIE DOGS
YERSINIA-PESTIS
RATTUS-RATTUS
METAPOPULATION DYNAMICS
INFECTIOUS-DISEASES
XENOPSYLLA-CHEOPIS
VECTOR COMPETENCE
SPECIAL EMPHASIS
SYLVATIC PLAGUE
TRANSMISSION
0302 clinical medicine
Theoretical Ecology
Biology (General)
Disease Resistance
0303 health sciences
education.field_of_study
Ecology
Zoonosis
Intermediate host
Markov Chains
3. Good health
Computational Theory and Mathematics
Susceptible individual
Modeling and Simulation
Siphonaptera
Research Article
Computer Modeling
QH301-705.5
Ecology (disciplines)
030231 tropical medicine
Population
Metapopulation
Biology
Bubonic plague
Models, Biological
Infectious Disease Epidemiology
03 medical and health sciences
Cellular and Molecular Neuroscience
Genetics
medicine
Madagascar
Animals
Computer Simulation
education
Central Highlands
Molecular Biology
Theoretical Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
Evolutionary Biology
Plague
Population Biology
Computational Biology
medicine.disease
Rats
Fertility
Evolutionary Ecology
Computer Science
Infectious Disease Modeling
Subjects
Details
- Language :
- English
- ISSN :
- 15537358 and 1553734X
- Volume :
- 9
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....166028a76536f3c6b646813dcdb8ed21