Literature DB >> 25652087

Review of Twitter for infectious diseases clinicians: useful or a waste of time?

Debra A Goff1, Ravina Kullar2, Jason G Newland3.   

Abstract

Twitter is a social networking service that has emerged as a valuable tool for healthcare professionals (HCPs). It is the only platform that allows one to connect, engage, learn, and educate oneself and others in real time on a global scale. HCPs are using social media tools to communicate, educate, and engage with their peers worldwide. Twitter allows HCPs to deliver easily accessible "real-time" clinical information on a global scale. Twitter has more than 500 million active users who generate more than 58 million tweets and 2.1 billion search queries every day. Here, we explain why Twitter is important, how and when an infectious diseases (ID) HCP should use Twitter, the impact it has in disseminating ID news, and its educational value. We also describe various tools within Twitter, such as Twitter Chat, that connect and bond HCPs on a specific topic. Twitter may help ID HCPs teach others about the global responsible use of antimicrobials in a world of escalating antimicrobial resistance.
© The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Twitter; education; infectious diseases; social media

Mesh:

Year:  2015        PMID: 25652087     DOI: 10.1093/cid/civ071

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  15 in total

1.  Social Media As a Leadership Tool for Pharmacists.

Authors:  Blake Toney; Debra A Goff; Robert J Weber
Journal:  Hosp Pharm       Date:  2015-07-31

Review 2.  Antimicrobial Stewardship: How the Microbiology Laboratory Can Right the Ship.

Authors:  Philippe Morency-Potvin; David N Schwartz; Robert A Weinstein
Journal:  Clin Microbiol Rev       Date:  2016-12-14       Impact factor: 26.132

Review 3.  The Unintended Consequences of Social Media in Healthcare: New Problems and New Solutions.

Authors:  S Hors-Fraile; S Atique; M A Mayer; K Denecke; M Merolli; M Househ
Journal:  Yearb Med Inform       Date:  2016-11-10

4.  If I tweet will you cite? The effect of social media exposure of articles on downloads and citations.

Authors:  Thomy Tonia; Herman Van Oyen; Anke Berger; Christian Schindler; Nino Künzli
Journal:  Int J Public Health       Date:  2016-05-18       Impact factor: 3.380

5.  Tweetchats, Disseminating Information, and Sparking Further Scientific Discussion with Social Media.

Authors:  Michael A Chary; Peter R Chai
Journal:  J Med Toxicol       Date:  2020-02-24

6.  Digital Strategy and Social Media for Infectious Diseases.

Authors:  Jasmine R Marcelin; Carlos Del Rio; Andrej Spec; Talia H Swartz
Journal:  Clin Infect Dis       Date:  2022-05-15       Impact factor: 20.999

7.  Patterns of Treatment Switching in Multiple Sclerosis Therapies in US Patients Active on Social Media: Application of Social Media Content Analysis to Health Outcomes Research.

Authors:  Valéry Risson; Deepanshu Saini; Ian Bonzani; Alice Huisman; Melvin Olson
Journal:  J Med Internet Res       Date:  2016-03-17       Impact factor: 5.428

8.  How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets.

Authors:  Michelle Odlum; Sunmoo Yoon; Peter Broadwell; Russell Brewer; Da Kuang
Journal:  JMIR Public Health Surveill       Date:  2018-11-22

9.  How the Field of Infectious Diseases Can Leverage Digital Strategy and Social Media Use During a Pandemic.

Authors:  Jasmine R Marcelin; Nicolás Cortés-Penfield; Carlos Del Rio; Angel Desai; Ignacio Echenique; Bruno Granwehr; Folake Lawal; Kevin Kuriakose; Dong Heun Lee; Maricar Malinis; Diandra Ruidera; Javeed Siddiqui; Andrej Spec; Talia H Swartz
Journal:  Open Forum Infect Dis       Date:  2021-01-19       Impact factor: 3.835

10.  Linked 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.

Authors:  Valery Risson; Bhaskar Ghodge; Ian C Bonzani; Jonathan R Korn; Jennie Medin; Tanmay Saraykar; Souvik Sengupta; Deepanshu Saini; Melvin Olson
Journal:  J Med Internet Res       Date:  2016-09-22       Impact factor: 5.428

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