Comparison of statistical algorithms for daily syndromic surveillance aberration detection

MOTIVATION: Public health authorities can provide more effective and timely interventions to protect populations during health events if they have effective multi-purpose surveillance systems. These systems rely on aberration detection algorithms to identify potential threats within large datasets....

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Detalles Bibliográficos
Autores principales: Noufaily, Angela, Morbey, Roger A, Colón-González, Felipe J, Elliot, Alex J, Smith, Gillian E, Lake, Iain R, McCarthy, Noel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736430/
https://www.ncbi.nlm.nih.gov/pubmed/30689731
http://dx.doi.org/10.1093/bioinformatics/bty997

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736430/
https://www.ncbi.nlm.nih.gov/pubmed/30689731
http://dx.doi.org/10.1093/bioinformatics/bty997

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