Cargando…
Forecasting influenza outbreak dynamics in Melbourne from Internet search query surveillance data
BACKGROUND: Accurate forecasting of seasonal influenza epidemics is of great concern to healthcare providers in temperate climates, as these epidemics vary substantially in their size, timing and duration from year to year, making it a challenge to deliver timely and proportionate responses. Previou...
Autores principales: | Moss, Robert, Zarebski, Alexander, Dawson, Peter, McCaw, James M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910172/ https://www.ncbi.nlm.nih.gov/pubmed/26859411 http://dx.doi.org/10.1111/irv.12376 |
Ejemplares similares
-
Model selection for seasonal influenza forecasting
por: Zarebski, Alexander E., et al.
Publicado: (2017) -
Accounting for Healthcare-Seeking Behaviours and Testing Practices in Real-Time Influenza Forecasts
por: Moss, Robert, et al.
Publicado: (2019) -
Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015
por: Liang, Feng, et al.
Publicado: (2018) -
Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness
por: Bahk, Gyung Jin, et al.
Publicado: (2015) -
Forecasting influenza in Hong Kong with Google search queries and statistical model fusion
por: Xu, Qinneng, et al.
Publicado: (2017)