The persistence of a SIS disease in a metapopulation

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

1. Deterministic models predict that susceptible-infective-susceptible (SIS) disease, where there is no immunity to reinfection following recovery, will become infinitely persistent in a host population. We explored the incorporation of stochasticity into SIS models; modelled interacting host-disease agents in metapopulations; and examined model predictions in a real system involving viral infection in domestic cats. 2. SIS models incorporating stochasticity predicted that disease persistence would be finite and dependent on the host population size, provided the host population was isolated. However, the disease may persist by dynamic spread among interacting host metapopulations. 3. Feline enteric coronavirus (FECV) dynamics in domestic cats were well predicted by stochastic metapopulation models. 4. The models we present are mathematically tractable, generalizable, and mechanistically realistic. The findings from the cat-virus system are immediately applicable to the management of cattery populations and could be adapted to inform eradication programmes for other infectious diseases in animal and human populations. The most practical methods to eradicate feline enteric coranovirus would be to remove small catteries (islands) from interactions with large catteries (mainlands) and to convert mainlands to islands by depopulation.

Original languageEnglish (US)
Pages (from-to)555-563
Number of pages9
JournalJournal of Applied Ecology
Volume36
Issue number4
DOIs
StatePublished - Aug 1999

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metapopulation
persistence
stochasticity
isolated population
infectious disease
immunity
population size
virus
prediction

Keywords

  • Birth and death processes
  • Feline enteric coronavirus
  • Infectious disease
  • Spatial spread of disease

ASJC Scopus subject areas

  • Ecology

Cite this

The persistence of a SIS disease in a metapopulation. / Foley, Janet E.; Foley, Patrick; Pedersen, Niels C.

In: Journal of Applied Ecology, Vol. 36, No. 4, 08.1999, p. 555-563.

Research output: Contribution to journalArticle

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AB - 1. Deterministic models predict that susceptible-infective-susceptible (SIS) disease, where there is no immunity to reinfection following recovery, will become infinitely persistent in a host population. We explored the incorporation of stochasticity into SIS models; modelled interacting host-disease agents in metapopulations; and examined model predictions in a real system involving viral infection in domestic cats. 2. SIS models incorporating stochasticity predicted that disease persistence would be finite and dependent on the host population size, provided the host population was isolated. However, the disease may persist by dynamic spread among interacting host metapopulations. 3. Feline enteric coronavirus (FECV) dynamics in domestic cats were well predicted by stochastic metapopulation models. 4. The models we present are mathematically tractable, generalizable, and mechanistically realistic. The findings from the cat-virus system are immediately applicable to the management of cattery populations and could be adapted to inform eradication programmes for other infectious diseases in animal and human populations. The most practical methods to eradicate feline enteric coranovirus would be to remove small catteries (islands) from interactions with large catteries (mainlands) and to convert mainlands to islands by depopulation.

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