Cargando…
Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance
Autores principales: | Sharpe, Danielle, Hopkins, Richard, Cook, Robert L., Striley, Catherine W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462182/ http://dx.doi.org/10.5210/ojphi.v9i1.7604 |
Ejemplares similares
-
Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis
por: Sharpe, J Danielle, et al.
Publicado: (2016) -
Wikipedia: a tool to monitor seasonal diseases
trends?
por: Vilain, Pascal, et al.
Publicado: (2017) -
A practitioner-driven research agenda for syndromic
surveillance
por: Hopkins, Richard, et al.
Publicado: (2017) -
Validation of Syndromic ILI Data for Use in CDC’s ILINet
Surveillance, Pennsylvania
por: Boktor, Sameh W., et al.
Publicado: (2018) -
Improving ILI Surveillance using Hospital Staff Influenza-like Absence (ILA)
por: Drumright, Lydia, et al.
Publicado: (2013)