Hierarchical Bayesian model for prevalence inferences and determination of a country's status for an animal pathogen.
Prev Vet Med
; 55(3): 155-71, 2002 Oct 15.
Article
em En
| MEDLINE
| ID: mdl-12383652
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.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Contexto em Saúde:
1_ASSA2030
Problema de saúde:
1_financiamento_saude
Assunto principal:
Síndrome Respiratória e Reprodutiva Suína
/
Doença de Newcastle
Tipo de estudo:
Health_economic_evaluation
/
Prevalence_studies
/
Prognostic_studies
Limite:
Animals
País/Região como assunto:
Europa
Idioma:
En
Revista:
Prev Vet Med
Ano de publicação:
2002
Tipo de documento:
Article
País de afiliação:
Estados Unidos