Literature DB >> 26138998

Detecting themes of public concern: a text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat.

Allison J Lazard1, Emily Scheinfeld2, Jay M Bernhardt3, Gary B Wilcox4, Melissa Suran5.   

Abstract

A diagnosis of Ebola on US soil triggered widespread panic. In response, the Centers for Disease Control and Prevention held a live Twitter chat to address public concerns. This study applied a textual analytics method to reveal insights from these tweets that can inform communication strategies. User-generated tweets were collected, sorted, and analyzed to reveal major themes. The public was concerned with symptoms and lifespan of the virus, disease transfer and contraction, safe travel, and protection of one's body.
Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Crisis communication; Internet; Social media; Tweet

Mesh：

Year:  2015        PMID： 26138998     DOI： 10.1016/j.ajic.2015.05.025

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN： 0196-6553            Impact factor:   2.918


  37 in total

1.  Some Innovative Approaches for Public Health and Epidemiology Informatics.

Authors:  L Toubiana; N Griffon
Journal:  Yearb Med Inform       Date:  2016-11-10

2.  Tweeting about measles during stages of an outbreak: A semantic network approach to the framing of an emerging infectious disease.

Authors:  Lu Tang; Bijie Bie; Degui Zhi
Journal:  Am J Infect Control       Date:  2018-06-19       Impact factor: 2.918

Review 3.  Social Media and Myeloproliferative Neoplasms (MPN)--Focus on Twitter and the Development of a Disease-specific Community: #MPNSM.

Authors:  Naveen Pemmaraju; Vikas Gupta; Ruben Mesa; Michael A Thompson
Journal:  Curr Hematol Malig Rep       Date:  2015-12       Impact factor: 3.952

4.  Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter.

Authors:  Philipp Wicke; Marianna M Bolognesi
Journal:  PLoS One       Date:  2020-09-30       Impact factor: 3.240

5.  Social media as a platform for health-related public debates and discussions: the Polio vaccine on Facebook.

Authors:  Daniela Orr; Ayelet Baram-Tsabari; Keren Landsman
Journal:  Isr J Health Policy Res       Date:  2016-11-10

6.  Stopping Antidepressants and Anxiolytics as Major Concerns Reported in Online Health Communities: A Text Mining Approach.

Authors:  Adeline Abbe; Bruno Falissard
Journal:  JMIR Ment Health       Date:  2017-10-23

7.  Global reaction to the recent outbreaks of Zika virus: Insights from a Big Data analysis.

Authors:  Nicola Luigi Bragazzi; Cristiano Alicino; Cecilia Trucchi; Chiara Paganino; Ilaria Barberis; Mariano Martini; Laura Sticchi; Eugen Trinka; Francesco Brigo; Filippo Ansaldi; Giancarlo Icardi; Andrea Orsi
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

8.  Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts.

Authors:  Anthony Stefanidis; Emily Vraga; Georgios Lamprianidis; Jacek Radzikowski; Paul L Delamater; Kathryn H Jacobsen; Dieter Pfoser; Arie Croitoru; Andrew Crooks
Journal:  JMIR Public Health Surveill       Date:  2017-04-20

9.  Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media.

Authors:  Yahya Albalawi; Jim Buckley; Nikola S Nikolov
Journal:  J Big Data       Date:  2021-07-02

10.  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
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