about
Big data opportunities for global infectious disease surveillanceModeling infectious disease dynamics in the complex landscape of global healthThe epidemiological advantage of preferential targeting of tuberculosis control at the poor.Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic ScalesEvaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative AnalysisEthical Challenges of Big Data in Public HealthHealth and social media: perfect storm of informationReconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunitiesDigital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public HealthResults from the centers for disease control and prevention's predict the 2013-2014 Influenza Season ChallengeIdentifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter"Anyone Know What Species This Is?" - Twitter Conversations as Embryonic Citizen Science CommunitiesComputational approaches to influenza surveillance: beyond timelinessMass Media and the Contagion of Fear: The Case of Ebola in AmericaInfluenza-like illness surveillance on Twitter through automated learning of naïve languageThe Twitter of Babel: mapping world languages through microblogging platformsOn the usefulness of ontologies in epidemiology research and practiceEthics of emergent information and communication technology applications in humanitarian medical assistance.Saúde na Copa: The World's First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, BrazilOnline Work Force Analyzes Social Media to Identify Consequences of an Unplanned School Closure - Using Technology to Prepare for the Next Pandemic.[Big data in medicine and healthcare].Epidemiologically optimal static networks from temporal network data.The interconnected and cross-border nature of risks posed by infectious diseasesDetailed contact data and the dissemination of Staphylococcus aureus in hospitals.Unveiling Spatial Epidemiology of HIV with Mobile Phone DataSocial Media, Big Data, and Mental Health: Current Advances and Ethical ImplicationsLinked Patient-Reported Outcomes Data From Patients With Multiple Sclerosis Recruited on an Open Internet Platform to Health Care Claims Databases Identifies a Representative Population for Real-Life Data Analysis in Multiple Sclerosis.The effects of synoptic weather on influenza infection incidences: a retrospective study utilizing digital disease surveillance.Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial.Epidemic contact tracing via communication traces.Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomesEvaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions.Crowdsourcing dialect characterization through Twitter.Recent Advances in Computational Epidemiology.Evaluating the feasibility and participants' representativeness of an online nationwide surveillance system for influenza in FranceUsing friends as sensors to detect global-scale contagious outbreaks.A new source of data for public health surveillance: Facebook likesChinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases.The Topology of a Discussion: The #Occupy CaseWhat Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Digital epidemiology
@ast
Digital epidemiology
@en
Digital epidemiology
@nl
type
label
Digital epidemiology
@ast
Digital epidemiology
@en
Digital epidemiology
@nl
prefLabel
Digital epidemiology
@ast
Digital epidemiology
@en
Digital epidemiology
@nl
P2093
P2860
P50
P921
P3181
P1476
Digital epidemiology
@en
P2093
Ciro Cattuto
Devon D Brewer
Ellsworth M Campbell
Linus Bengtsson
Shashank Khandelwal
Todd J Bodnar
P275
P2860
P304
P3181
P3417
Digital-Epidemiology
P356
10.1371/JOURNAL.PCBI.1002616
P407
P577
2012-01-01T00:00:00Z
2012-07-26T00:00:00Z