Literature DB >> 25995958

Health and social media: perfect storm of information.

Luis Fernández-Luque1, Teresa Bau2.   

Abstract

OBJECTIVES: The use of Internet in the health domain is becoming a major worldwide trend. Millions of citizens are searching online health information and also publishing content about their health. Patients are engaging with other patients in online communities using different types of social media. The boundaries between mobile health, social media, wearable, games, and big data are becoming blurrier due the integration of all those technologies. In this paper we provide an overview of the major research challenges with the area of health social media.
METHODS: We use several study cases to exemplify the current trends and highlight future research challenges.
RESULTS: Internet is exploding and is being used for health purposes by a great deal of the population. Social networks have a powerful influence in health decisions. Given the lack of knowledge on the use of health social media, there is a need for complex multidisciplinary research to help us understand how to use social networks in favour of public health. A bigger understanding of social media will give health authorities new tools to help decision-making at global, national, local, and corporate level.
CONCLUSIONS: There is an unprecedented amount of data that can be used in public health due the potential combination of data acquired from mobile phones, Electronic Health Records, social media, and other sources. To identify meaningful information from those data sources it is not trial. Moreover, new analytics tools will need to be developed to analyse those sources of data in a way that it can benefit healthcare professionals and authorities.

Entities:  

Keywords:  Health Communication; Health Social Media; Mobile Health; Patients; Public Health; Public Health Informatics; Social Networks; eHealth

Year:  2015        PMID: 25995958      PMCID: PMC4434065          DOI: 10.4258/hir.2015.21.2.67

Source DB:  PubMed          Journal:  Healthc Inform Res        ISSN: 2093-3681


  21 in total

1.  Advances in wearable technology and its medical applications.

Authors:  Paolo Bonato
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Ebola, Twitter, and misinformation: a dangerous combination?

Authors:  Sunday Oluwafemi Oyeyemi; Elia Gabarron; Rolf Wynn
Journal:  BMJ       Date:  2014-10-14

3.  "WhatsAppitis".

Authors:  Inés M Fernandez-Guerrero
Journal:  Lancet       Date:  2014-03-22       Impact factor: 79.321

Review 4.  Definition of Health 2.0 and Medicine 2.0: a systematic review.

Authors:  Tom H Van De Belt; Lucien J L P G Engelen; Sivera A A Berben; Lisette Schoonhoven
Journal:  J Med Internet Res       Date:  2010-06-11       Impact factor: 5.428

5.  Accuracy and self correction of information received from an internet breast cancer list: content analysis.

Authors:  Adol Esquivel; Funda Meric-Bernstam; Elmer V Bernstam
Journal:  BMJ       Date:  2006-03-02

6.  Inferring community structure in healthcare forums. An empirical study.

Authors:  T Chomutare; E Arsand; L Fernandez-Luque; J Lauritzen; G Hartvigsen
Journal:  Methods Inf Med       Date:  2013-02-08       Impact factor: 2.176

Review 7.  A lot of action, but not in the right direction: systematic review and content analysis of smartphone applications for the prevention, detection, and management of cancer.

Authors:  Jacqueline Lorene Bender; Rossini Ying Kwan Yue; Matthew Jason To; Laetitia Deacken; Alejandro R Jadad
Journal:  J Med Internet Res       Date:  2013-12-23       Impact factor: 5.428

8.  Use of social media across US hospitals: descriptive analysis of adoption and utilization.

Authors:  Heather M Griffis; Austin S Kilaru; Rachel M Werner; David A Asch; John C Hershey; Shawndra Hill; Yoonhee P Ha; Allison Sellers; Kevin Mahoney; Raina M Merchant
Journal:  J Med Internet Res       Date:  2014-11-27       Impact factor: 5.428

9.  Pro-anorexia and pro-recovery photo sharing: a tale of two warring tribes.

Authors:  Elad Yom-Tov; Luis Fernandez-Luque; Ingmar Weber; Steven P Crain
Journal:  J Med Internet Res       Date:  2012-11-07       Impact factor: 5.428

10.  Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study.

Authors:  Joseph A Cafazzo; Mark Casselman; Nathaniel Hamming; Debra K Katzman; Mark R Palmert
Journal:  J Med Internet Res       Date:  2012-05-08       Impact factor: 5.428

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  33 in total

1.  Mining Social Media Data for Biomedical Signals and Health-Related Behavior.

Authors:  Rion Brattig Correia; Ian B Wood; Johan Bollen; Luis M Rocha
Journal:  Annu Rev Biomed Data Sci       Date:  2020-05-04

Review 2.  Integrating Social Media into Urologic Health care: What Can We Learn from Other Disciplines?

Authors:  Johannes Salem; Hendrik Borgmann; Declan G Murphy
Journal:  Curr Urol Rep       Date:  2016-02       Impact factor: 3.092

3.  Toward Data-Driven Radiology Education-Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA).

Authors:  Po-Hao Chen; Thomas W Loehfelm; Aaron P Kamer; Andrew B Lemmon; Tessa S Cook; Marc D Kohli
Journal:  J Digit Imaging       Date:  2016-12       Impact factor: 4.056

4.  Disinformation in the information age.

Authors:  Yared González-Pérez
Journal:  Eur J Hosp Pharm       Date:  2020-01-24

Review 5.  Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States.

Authors:  B L Massoudi; K G Chester
Journal:  Yearb Med Inform       Date:  2017-09-11

6.  Rumor surveillance in support of minimally invasive tissue sampling for diagnosing the cause of child death in low-income countries: A qualitative study.

Authors:  Md Saiful Islam; Abdullah Al-Masud; Maria Maixenchs; Saquina Cossa; Rui Guilaze; Kounandji Diarra; Issa Fofana; Faruqe Hussain; John Blevins; Ahoua Kone; Shams El Arifeen; Inácio Mandomando; Quique Bassat; Elizabeth O'Mara Sage; Emily S Gurley; Khátia Munguambe
Journal:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

Review 7.  Big Data in Head and Neck Cancer.

Authors:  Carlo Resteghini; Annalisa Trama; Elio Borgonovi; Hykel Hosni; Giovanni Corrao; Ester Orlandi; Giuseppina Calareso; Loris De Cecco; Cesare Piazza; Luca Mainardi; Lisa Licitra
Journal:  Curr Treat Options Oncol       Date:  2018-10-25

8.  Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study.

Authors:  Rebecca Ling; Joon Lee
Journal:  JMIR Public Health Surveill       Date:  2016-10-12

9.  Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes.

Authors:  Cristiano Alicino; Nicola Luigi Bragazzi; Valeria Faccio; Daniela Amicizia; Donatella Panatto; Roberto Gasparini; Giancarlo Icardi; Andrea Orsi
Journal:  Infect Dis Poverty       Date:  2015-12-10       Impact factor: 4.520

10.  Making sense of big data in health research: Towards an EU action plan.

Authors:  Charles Auffray; Rudi Balling; Inês Barroso; László Bencze; Mikael Benson; Jay Bergeron; Enrique Bernal-Delgado; Niklas Blomberg; Christoph Bock; Ana Conesa; Susanna Del Signore; Christophe Delogne; Peter Devilee; Alberto Di Meglio; Marinus Eijkemans; Paul Flicek; Norbert Graf; Vera Grimm; Henk-Jan Guchelaar; Yi-Ke Guo; Ivo Glynne Gut; Allan Hanbury; Shahid Hanif; Ralf-Dieter Hilgers; Ángel Honrado; D Rod Hose; Jeanine Houwing-Duistermaat; Tim Hubbard; Sophie Helen Janacek; Haralampos Karanikas; Tim Kievits; Manfred Kohler; Andreas Kremer; Jerry Lanfear; Thomas Lengauer; Edith Maes; Theo Meert; Werner Müller; Dörthe Nickel; Peter Oledzki; Bertrand Pedersen; Milan Petkovic; Konstantinos Pliakos; Magnus Rattray; Josep Redón I Màs; Reinhard Schneider; Thierry Sengstag; Xavier Serra-Picamal; Wouter Spek; Lea A I Vaas; Okker van Batenburg; Marc Vandelaer; Peter Varnai; Pablo Villoslada; Juan Antonio Vizcaíno; John Peter Mary Wubbe; Gianluigi Zanetti
Journal:  Genome Med       Date:  2016-06-23       Impact factor: 11.117

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