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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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2004-08, Vol.101 (33), p.12120-12124
Hauptverfasser:	Gibson, G.J, Kleczkowski, A, Gilligan, C.A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Biological Sciences Biology Coinfection Control Disease models Epidemics Flowers & plants Infections Markov analysis Markov Chains Methods Modeling Models, Biological Monte Carlo Method Parametric models Pathogens Pest Control, Biological Physical Sciences Plant Diseases - microbiology Plant Diseases - statistics & numerical data Plants Raphanus - microbiology Raphanus sativus Rhizoctonia - pathogenicity Rhizoctonia solani Stochastic models Stochastic Processes Time Factors Trichoderma Trichoderma - physiology Trichoderma viride
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