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Bayesian analysis of botanical epidemics using stochastic compartmental models

A stochastic model for an epidemic, incorporating susceptible, latent, and infectious states, is developed. The model represents primary and secondary infection rates and a time-varying host susceptibility with applications to a wide range of epidemiological systems. A Markov chain Monte Carlo algor...

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Détails bibliographiques
Auteurs principaux: Gibson, G. J., Kleczkowski, A., Gilligan, C. A.
Format: Artigo
Langue:Inglês
Publié: National Academy of Sciences 2004
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC514444/
https://ncbi.nlm.nih.gov/pubmed/15302941
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0400829101
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