Document Detail


Dynamics of a feline retrovirus (FeLV) in host populations with variable spatial structure.
MedLine Citation:
PMID:  9684375     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The predictions of epidemic models are remarkably affected by the underlying assumptions concerning host population dynamics and the relation between host density and disease transmission. Furthermore, hypotheses underlying distinct models are rarely tested. Domestic cats (Felis catus) can be used to compare models and test their predictions, because cat populations show variable spatial structure that probably results in variability in the relation between density and disease transmission. Cat populations also exhibit various dynamics. We compare four epidemiological models of Feline Leukaemia Virus (FeLV). We use two different incidence terms, i.e. proportionate mixing and pseudo-mass action. Population dynamics are modelled as logistic or exponential growth. Compared with proportionate mixing, mass action incidence with logistic growth results in a threshold population size under which the virus cannot persist in the population. Exponential growth of host populations results in systems where FeLV persistence at a steady prevalence and depression of host population growth are biologically unlikely to occur. Predictions of our models account for presently available data on FeLV dynamics in various populations of cats. Thus, host population dynamics and spatial structure can be determinant parameters in parasite transmission, host population depression, and disease control.
Authors:
E Fromont; D Pontier; M Langlais
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Proceedings. Biological sciences / The Royal Society     Volume:  265     ISSN:  0962-8452     ISO Abbreviation:  Proc. Biol. Sci.     Publication Date:  1998 Jun 
Date Detail:
Created Date:  1998-08-18     Completed Date:  1998-08-18     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  101245157     Medline TA:  Proc Biol Sci     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1097-104     Citation Subset:  IM    
Affiliation:
UMR CNRS 5558 Biométrie, Génétique et Biologie des Populations, Université Claude Bernard Lyon, France. fromont@biomserv.univ-lyon1.fr
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MeSH Terms
Descriptor/Qualifier:
Animals
Cats
Epidemiologic Methods*
Leukemia Virus, Feline*
Mathematical Computing
Models, Biological*
Population Dynamics
Retroviridae Infections / epidemiology*
Tumor Virus Infections / epidemiology*
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