Cargando…
Algorithms for detecting and predicting influenza outbreaks: metanarrative review of prospective evaluations
OBJECTIVES: Reliable monitoring of influenza seasons and pandemic outbreaks is essential for response planning, but compilations of reports on detection and prediction algorithm performance in influenza control practice are largely missing. The aim of this study is to perform a metanarrative review...
Autores principales: | Spreco, A, Timpka, T |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861093/ https://www.ncbi.nlm.nih.gov/pubmed/27154479 http://dx.doi.org/10.1136/bmjopen-2015-010683 |
Ejemplares similares
-
Integrated Detection and Prediction of Influenza Activity for Real-Time Surveillance: Algorithm Design
por: Spreco, Armin, et al.
Publicado: (2017) -
A Review of the Recent Monkeypox Outbreak in 2022
por: Al-Gburi, Saleh, et al.
Publicado: (2022) -
Evaluation of Nowcasting for Detecting and Predicting Local Influenza Epidemics, Sweden, 2009–2014
por: Spreco, Armin, et al.
Publicado: (2018) -
FluMum: a prospective cohort study of mother–infant pairs assessing the effectiveness of maternal influenza vaccination in prevention of influenza in early infancy
por: O'Grady, Kerry-Ann F, et al.
Publicado: (2014) -
Predicting severe disease in patients diagnosed with seasonal influenza in the emergency department
por: Pajor, Michael J., et al.
Publicado: (2023)