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Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative AnalysisThe Potential of Social Media and Internet-Based Data in Preventing and Fighting Infectious Diseases: From Internet to TwitterUtility of social media and crowd-sourced data for pharmacovigilance: a scoping review protocolForecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report DataCharacterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community DetectionEpiCaster: An Integrated Web Application For Situation Assessment and Forecasting of Global EpidemicsCloud-based Electronic Health Records for Real-time, Region-specific Influenza SurveillanceAccurate estimation of influenza epidemics using Google search data via ARGOCombining Search, Social Media, and Traditional Data Sources to Improve Influenza SurveillanceMeasuring Global Disease with Wikipedia: Success, Failure, and a Research AgendaUsing electronic health records and Internet search information for accurate influenza forecasting.A framework for evaluating epidemic forecastsDeterminants of Participants' Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System.Advances in nowcasting influenza-like illness rates using search query logsWhiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context.Infectious disease prediction with kernel conditional density estimation.Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches.Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis.Forecasting influenza-like illness dynamics for military populations using neural networks and social media.Internet-based biosurveillance methods for vector-borne diseases: Are they novel public health tools or just novelties?Subregional Nowcasts of Seasonal Influenza Using Search Trends.Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content.A review of influenza detection and prediction through social networking sites.The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks.Big data in pharmacy practice: current use, challenges, and the future.Prediction of infectious disease epidemics via weighted density ensembles.Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance.Identifying tweets of personal health experience through word embedding and LSTM neural network.Using Social Media to Target Cancer Prevention in Young Adults: Viewpoint.Influenza forecast optimization when using different surveillance data types and geographic scaleNonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributionsEmergency Preparedness in the Workplace: The Flulapalooza Model for Mass VaccinationEvaluation of mechanistic and statistical methods in forecasting influenza-like illnessThe added value of online user-generated content in traditional methods for influenza surveillanceOptimal multi-source forecasting of seasonal influenza
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Twitter improves influenza forecasting
@ast
Twitter improves influenza forecasting
@en
Twitter improves influenza forecasting
@nl
type
label
Twitter improves influenza forecasting
@ast
Twitter improves influenza forecasting
@en
Twitter improves influenza forecasting
@nl
prefLabel
Twitter improves influenza forecasting
@ast
Twitter improves influenza forecasting
@en
Twitter improves influenza forecasting
@nl
P2860
P1433
P1476
Twitter improves influenza forecasting
@en
P2093
Mark Dredze
Michael J Paul
P2860
P356
10.1371/CURRENTS.OUTBREAKS.90B9ED0F59BAE4CCAA683A39865D9117
P577
2014-10-28T00:00:00Z