Building test data from real outbreaks for evaluating detection algorithms

Benchmarking surveillance systems requires realistic simulations of disease outbreaks. However, obtaining these data in sufficient quantity, with a realistic shape and covering a sufficient range of agents, size and duration, is known to be very difficult. The dataset of outbreak signals generated s...

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Detalles Bibliográficos
Autores principales: Texier, Gaetan, Jackson, Michael L., Siwe, Leonel, Meynard, Jean-Baptiste, Deparis, Xavier, Chaudet, Herve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593515/
https://www.ncbi.nlm.nih.gov/pubmed/28863159
http://dx.doi.org/10.1371/journal.pone.0183992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593515/
https://www.ncbi.nlm.nih.gov/pubmed/28863159
http://dx.doi.org/10.1371/journal.pone.0183992

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