OMG U got flu? Analysis of shared health messages for bio-surveillance
about
Understanding the undelaying mechanism of HA-subtyping in the level of physic-chemical characteristics of proteinDisease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseasesEthical issues in using Twitter for population-level depression monitoring: a qualitative studyUsing Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature ReviewEthical Issues of Social Media Usage in HealthcareSaúde na Copa: The World's First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, BrazilCharacterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance dataCharacterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication.Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease DetectionSocial Media, Big Data, and Mental Health: Current Advances and Ethical ImplicationsDEFENDER: Detecting and Forecasting Epidemics Using Novel Data-Analytics for Enhanced ResponseAttitudes Toward the Ethics of Research Using Social Media: A Systematic Review.How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed.LESSONS LEARNED ABOUT PUBLIC HEALTH FROM ONLINE CROWD SURVEILLANCE.What makes people talk about antibiotics on social media? A retrospective analysis of Twitter use.Ethical issues in using Twitter for public health surveillance and research: developing a taxonomy of ethical concepts from the research literature.Towards mature use of semantic resources for biomedical analyses.To tweet or not to tweet about schizophrenia systematic reviews (TweetSz): study protocol for a randomised controlled trialAssociations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational StudyUsing Twitter to Measure Public Discussion of Diseases: A Case Study.SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning.Using twitter to examine smoking behavior and perceptions of emerging tobacco productsCoughing, sneezing, and aching online: Twitter and the volume of influenza-like illness in a pediatric hospital.Tweeting links to Cochrane Schizophrenia Group reviews: a randomised controlled trialTwitter and traumatic brain injury: A content and sentiment analysis of tweets pertaining to sport-related brain injury.Identifying personal health experience tweets with deep neural networks.Mapping of Crowdsourcing in Health: Systematic Review.Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns.
P2860
Q28538621-8CA278DC-4B68-4BE4-A7F1-8DE5B1033A0EQ28585728-D5B2F61E-5F68-4078-88BF-22056C82E53CQ28604223-9BD6B9DB-380A-4F1B-A865-43ADF150B76BQ28606868-BF015313-7DA1-40FD-9662-26A446ED6FC6Q28607137-757EB663-FC1E-461B-A962-2D63DE0F23C3Q30250981-D26CDCBD-F3C9-4F2B-A007-800477EDC3B9Q30365751-77080A7B-C992-4781-9F9F-4C7C4D54986EQ30405035-1F5CD010-580D-46A3-A1A4-08FA48AB4206Q30539150-B88B109D-A6ED-4747-9942-58B087FCB042Q31049494-43532D8F-13D1-4A20-AD81-A8D53CA78AB3Q31067977-B4230BE5-28AF-47F4-8FCD-A033093052D4Q31097028-E19C1E8B-B23E-4FDF-BF78-97E293741D6CQ33819672-D54783EC-1230-4729-90E7-E91A35AA6C71Q33855363-B071A986-3FD7-45F4-8E0A-3033025773CEQ33915898-F79899BF-9224-456D-B0FB-4B1D9A873450Q34034423-8710E33E-3691-4DC0-88E0-DB2E8AA238DCQ34850534-1538ACC0-7C06-42A0-B777-FBB6FBF7AA80Q35617460-06CA8872-D495-4EB9-BF35-464C1CC50D3AQ35687312-01D48029-14C7-4BBF-83E6-8438F170770FQ35922347-2336FF59-4DB8-480B-AF35-6B11BCA8DFD7Q36607331-2AC75E20-AB62-4CAF-BF5C-4B19044E0873Q37113875-9078B0A5-5218-48F8-9E84-8C2CDE342E1CQ37134335-3CD07C2A-2C84-471B-A3C6-A2B444F9376BQ38650324-53A5466C-6817-4978-AC1C-9769CE668F6AQ38765938-FE92CCA8-3C59-4BC8-AB34-DEB6DD58B4A7Q41544451-E323515C-F794-40C3-82C0-8943E5DB4460Q42698370-93621961-61D4-4C22-893C-8C189F54822FQ55339714-652C89D4-DCC3-4F0E-A1BF-241E3B2186A8Q55472306-EFBDE82E-DD10-4929-8A9D-2A15B3240CC5
P2860
OMG U got flu? Analysis of shared health messages for bio-surveillance
description
2011 nî lūn-bûn
@nan
2011 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
OMG U got flu? Analysis of shared health messages for bio-surveillance
@ast
OMG U got flu? Analysis of shared health messages for bio-surveillance
@en
OMG U got flu? Analysis of shared health messages for bio-surveillance
@nl
type
label
OMG U got flu? Analysis of shared health messages for bio-surveillance
@ast
OMG U got flu? Analysis of shared health messages for bio-surveillance
@en
OMG U got flu? Analysis of shared health messages for bio-surveillance
@nl
prefLabel
OMG U got flu? Analysis of shared health messages for bio-surveillance
@ast
OMG U got flu? Analysis of shared health messages for bio-surveillance
@en
OMG U got flu? Analysis of shared health messages for bio-surveillance
@nl
P2860
P3181
P1476
OMG U got flu? Analysis of shared health messages for bio-surveillance
@en
P2093
Ngoc Mai Nguyen
Nguyen Truong Son
P2860
P2888
P3181
P356
10.1186/2041-1480-2-S5-S9
P407
P433
P478
P577
2011-10-06T00:00:00Z
P6179
1047610014