Value of evidence from syndromic surveillance with cumulative evidence from multiple data streams with delayed reporting

Delayed reporting of health data may hamper the early detection of infectious diseases in surveillance systems. Furthermore, combining multiple data streams, e.g. aiming at improving a system’s sensitivity, can be challenging. In this study, we used a Bayesian framework where the result is presented...

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Detalles Bibliográficos
Autores principales: Struchen, R., Vial, F., Andersson, M. G.
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/PMC5430846/
https://www.ncbi.nlm.nih.gov/pubmed/28446757
http://dx.doi.org/10.1038/s41598-017-01259-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430846/
https://www.ncbi.nlm.nih.gov/pubmed/28446757
http://dx.doi.org/10.1038/s41598-017-01259-5

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