Literature DB >> 8589538

Environmentally driven epizootics.

L J Allen1, P J Cormier.   

Abstract

Environmental conditions can be the driving force behind an epizootic. Environmental changes may favor growth of a particular species, which results in increased contact rates and spread of a disease. We examine this particular phenomenon in SI and SIS models and use it to explain the possible disease outbreaks in nature. Either infected individuals recover from the disease (SIS model) or suffer disease fatalities (SI model). Epizootic models for a single population are examined where contact rate depends on population size. A reproductive number R is defined that depends on environmental carrying capacity. The single-population models are coupled to form three different two-species models with intra- and interspecies contact rates that depend on the population sizes of both populations. The stability results show that it is possible for the disease to drive one of the populations to extinction, the one with disease fatalities. The surviving species serves as a reservoir for the disease. Single- and two-species epizootic models are examined in a particular case where the contact rates are assumed to be constant. This leads to a new definition for the contact rate. A complete global analysis is possible in these latter cases. The results are compared and contrasted with the models with variable contact rates. The prototype for the models is the spread of disease in wildlife populations, which includes such diseases as plague or Lyme disease.

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Year:  1996        PMID: 8589538     DOI: 10.1016/0025-5564(95)00011-9

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

1.  Competitive exclusion and coexistence for pathogens in an epidemic model with variable population size.

Authors:  Azmy S Ackleh; Linda J S Allen
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

Review 2.  Ehrlichia chaffeensis: a prototypical emerging pathogen.

Authors:  Christopher D Paddock; James E Childs
Journal:  Clin Microbiol Rev       Date:  2003-01       Impact factor: 26.132

3.  Mathematical Modeling of Viral Zoonoses in Wildlife.

Authors:  L J S Allen; V L Brown; C B Jonsson; S L Klein; S M Laverty; K Magwedere; J C Owen; P van den Driessche
Journal:  Nat Resour Model       Date:  2011-12-30       Impact factor: 1.182

Review 4.  Introduction: conceptualizing and partitioning the emergence process of zoonotic viruses from wildlife to humans.

Authors:  J E Childs; J A Richt; J S Mackenzie
Journal:  Curr Top Microbiol Immunol       Date:  2007       Impact factor: 4.291

  4 in total

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