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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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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
National Academy of Sciences
2004
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| 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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