Filling gaps in notification data: a model-based approach applied to travel related campylobacteriosis cases in New Zealand

BACKGROUND: Data containing notified cases of disease are often compromised by incomplete or partial information related to individual cases. In an effort to enhance the value of information from enteric disease notifications in New Zealand, this study explored the use of Bayesian and Multiple Imput...

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Detalles Bibliográficos
Autores principales: Amene, E., Horn, B., Pirie, R., Lake, R., Döpfer, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011939/
https://www.ncbi.nlm.nih.gov/pubmed/27600394
http://dx.doi.org/10.1186/s12879-016-1784-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011939/
https://www.ncbi.nlm.nih.gov/pubmed/27600394
http://dx.doi.org/10.1186/s12879-016-1784-8

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