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Horizon / Pleins textes
Other literature type . 2012
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Philosophical Transactions of the Royal Society B Biological Sciences
Article . 2012 . Peer-reviewed
License: Royal Society Data Sharing and Accessibility
Data sources: Crossref
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Linking community and disease ecology: the impact of biodiversity on pathogen transmission

Authors: /Roche, Benjamin; Dobson, A.P.; /Guégan, Jean-François; Rohani, P.;

Linking community and disease ecology: the impact of biodiversity on pathogen transmission

Abstract

Abstract The increasing number of zoonotic diseases spilling over from a range of wild animal species represents a particular concern for public health, especially in light of the current dramatic trend of biodiversity loss. To understand the ecology of these multi-host pathogens and their response to environmental degradation and species extinctions, it is necessary to develop a theoretical framework that takes into account realistic community assemblages. Here, we present a multi-host species epidemiological model that includes empirically determined patterns of diversity and composition derived from community ecology studies. We use this framework to study the interaction between wildlife diversity and directly transmitted pathogen dynamics. First, we demonstrate that variability in community composition does not affect significantly the intensity of pathogen transmission. We also show that the consequences of community diversity can differentially impact the prevalence of pathogens and the number of infectious individuals. Finally, we show that ecological interactions among host species have a weaker influence on pathogen circulation than inter-species transmission rates. We conclude that integration of a community perspective to study wildlife pathogens is crucial, especially in the context of understanding and predicting infectious disease emergence events.

Country
France
Keywords

EPIDEMIOLOGIE, TRANSMISSION, Population Dynamics, Empirical Research, STRUCTURE DE POPULATION, Communicable Diseases, Emerging, Models, Biological, ABONDANCE, RELATION HOTE PARASITE, Species Specificity, Zoonoses, Animals, Body Size, Ecosystem, MODELE MATHEMATIQUE, MALADIE EMERGENTE, FACTEUR ECOLOGIQUE, Biodiversity, Biota, HOTE, PATHOLOGIE ANIMALE, BIOGEOGRAPHIE, Disease Susceptibility, Public Health

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    95
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
95
Top 10%
Top 10%
Top 10%
Green
bronze
Related to Research communities
Italian National Biodiversity Future Center