Cargando…
Evaluation and comparison of statistical methods for early temporal detection of outbreaks: A simulation-based study
The objective of this paper is to evaluate a panel of statistical algorithms for temporal outbreak detection. Based on a large dataset of simulated weekly surveillance time series, we performed a systematic assessment of 21 statistical algorithms, 19 implemented in the R package surveillance and two...
Autores principales: | Bédubourg, Gabriel, Le Strat, Yann |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513450/ https://www.ncbi.nlm.nih.gov/pubmed/28715489 http://dx.doi.org/10.1371/journal.pone.0181227 |
Ejemplares similares
-
Waterborne Disease Outbreak Detection: A Simulation-Based Study
por: Mouly, Damien, et al.
Publicado: (2018) -
A Simulation-Based Study on the Comparison of Statistical and Time Series Forecasting Methods for Early Detection of Infectious Disease Outbreaks
por: Yang, Eunjoo, et al.
Publicado: (2018) -
Comparison of statistical methods for the early detection of disease outbreaks in small population settings
por: Craig, Adam T., et al.
Publicado: (2023) -
Improving regional influenza surveillance through a combination of automated outbreak detection methods: the 2015/16 season in France
por: Pelat, Camille, et al.
Publicado: (2017) -
Factors Influencing Performance of Internet-Based Biosurveillance Systems Used in Epidemic Intelligence for Early Detection of Infectious Diseases Outbreaks
por: Barboza, Philippe, et al.
Publicado: (2014)