Hierarchical Bayesian model for prevalence ...



Title Hierarchical Bayesian model for prevalence inferences and determination of a country's status for an animal pathogen
Author(s) E. A. Suess, I. A. Gardner, W. O. Johnson
Journal Preventive Veterinary Medicine
Date 2002
Volume 55
Issue 3
Start page 155
End page 171
Abstract Certification that a country, region or state is "free" from a pathogen or has a prevalence less than a threshold value has implications for trade in animals and animal products. We develop a Bayesian model for assessment of: (i) the probability that a country is "free" of or has an animal pathogen; (ii) the proportion of infected herds in an infected country; and (iii) the within-herd prevalence in infected herds. The model uses test results from animals sampled in a two-stage cluster sample of herds within a country. Model parameters are estimated using modern Markov-chain Monte Carlo methods. We demonstrate our approach using published data from surveys of Newcastle disease and porcine reproductive and respiratory syndrome in Switzerland, and for three simulated data sets.
DOI 10.1016/s0167-5877(02)00092-2

Using APA 6th Edition citation style.

[Page generation failure. The bibliography processor requires a browser with Javascript enabled.]

Times viewed: 428

Adding this citation to "My List" will allow you to export this citation in other styles.