Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis

Effective control of many diseases requires the accurate detection of infected individuals. Confidently ascertaining whether an individual is infected can be challenging when diagnostic tests are imperfect and when some individuals go for long periods of time without being observed or sampled. Here,...

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Detalles Bibliográficos
Autores principales: Buzdugan, Svetlana N., Vergne, Timothée, Grosbois, Vladimir, Delahay, Richard J., Drewe, Julian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430431/
https://www.ncbi.nlm.nih.gov/pubmed/28424454
http://dx.doi.org/10.1038/s41598-017-00806-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430431/
https://www.ncbi.nlm.nih.gov/pubmed/28424454
http://dx.doi.org/10.1038/s41598-017-00806-4

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