Literature DB >> 27179915

Effective vaccine communication during the disneyland measles outbreak.

David A Broniatowski1, Karen M Hilyard2, Mark Dredze3.   

Abstract

Vaccine refusal rates have increased in recent years, highlighting the need for effective risk communication, especially over social media. Fuzzy-trace theory predicts that individuals encode bottom-line meaning ("gist") and statistical information ("verbatim") in parallel and those articles expressing a clear gist will be most compelling. We coded news articles (n=4581) collected during the 2014-2015 Disneyland measles for content including statistics, stories, or bottom-line gists regarding vaccines and vaccine-preventable illnesses. We measured the extent to which articles were compelling by how frequently they were shared on Facebook. The most widely shared articles expressed bottom-line gists, although articles containing statistics were also more likely to be shared than articles lacking statistics. Stories had limited impact on Facebook shares. Results support Fuzzy Trace Theory's predictions regarding the distinct yet parallel impact of categorical gist and statistical verbatim information on public health communication.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Facebook; Fuzzy-trace theory; MMR; Measles; Social media; Twitter

Mesh:

Year:  2016        PMID: 27179915      PMCID: PMC4903916          DOI: 10.1016/j.vaccine.2016.04.044

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  16 in total

1.  Comparing the Relative Efficacy of Narrative vs Nonnarrative Health Messages in Reducing Health Disparities Using a Randomized Trial.

Authors:  Sheila T Murphy; Lauren B Frank; Joyee S Chatterjee; Meghan B Moran; Nan Zhao; Paula Amezola de Herrera; Lourdes A Baezconde-Garbanati
Journal:  Am J Public Health       Date:  2015-04-23       Impact factor: 9.308

2.  All stories are not alike: a purpose-, content-, and valence-based taxonomy of patient narratives in decision aids.

Authors:  Victoria A Shaffer; Brian J Zikmund-Fisher
Journal:  Med Decis Making       Date:  2012-10-11       Impact factor: 2.583

3.  Theoretically motivated interventions for reducing sexual risk taking in adolescence: a randomized controlled experiment applying fuzzy-trace theory.

Authors:  Valerie F Reyna; Britain A Mills
Journal:  J Exp Psychol Gen       Date:  2014-04-28

4.  Responding to parental refusals of immunization of children.

Authors:  Douglas S Diekema
Journal:  Pediatrics       Date:  2005-05       Impact factor: 7.124

5.  Risk perception and communication in vaccination decisions: a fuzzy-trace theory approach.

Authors:  Valerie F Reyna
Journal:  Vaccine       Date:  2011-11-28       Impact factor: 3.641

6.  Anti-vaccine activists, Web 2.0, and the postmodern paradigm--an overview of tactics and tropes used online by the anti-vaccination movement.

Authors:  Anna Kata
Journal:  Vaccine       Date:  2011-12-13       Impact factor: 3.641

7.  Who gets a teach-back? Patient-reported incidence of experiencing a teach-back.

Authors:  Andrew J Jager; Matthew K Wynia
Journal:  J Health Commun       Date:  2012

8.  Social media and organ donor registration: the Facebook effect.

Authors:  A M Cameron; A B Massie; C E Alexander; B Stewart; R A Montgomery; N R Benavides; G D Fleming; D L Segev
Journal:  Am J Transplant       Date:  2013-06-18       Impact factor: 8.086

9.  What works best: objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception.

Authors:  John B F de Wit; Enny Das; Raymond Vet
Journal:  Health Psychol       Date:  2008-01       Impact factor: 4.267

10.  Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: a fuzzy-trace theory approach.

Authors:  Christopher R Wolfe; Valerie F Reyna; Colin L Widmer; Elizabeth M Cedillos; Christopher R Fisher; Priscila G Brust-Renck; Audrey M Weil
Journal:  Med Decis Making       Date:  2014-05-14       Impact factor: 2.583

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  20 in total

1.  A visual content analysis of vaccine coverage in the print media.

Authors:  Daniel Catalan-Matamoros; Carmen Peñafiel-Saiz
Journal:  Hum Vaccin Immunother       Date:  2019-04-04       Impact factor: 3.452

2.  Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate.

Authors:  David A Broniatowski; Amelia M Jamison; SiHua Qi; Lulwah AlKulaib; Tao Chen; Adrian Benton; Sandra C Quinn; Mark Dredze
Journal:  Am J Public Health       Date:  2018-08-23       Impact factor: 9.308

3.  Facebook and Twitter vaccine sentiment in response to measles outbreaks.

Authors:  Michael S Deiner; Cherie Fathy; Jessica Kim; Katherine Niemeyer; David Ramirez; Sarah F Ackley; Fengchen Liu; Thomas M Lietman; Travis C Porco
Journal:  Health Informatics J       Date:  2017-11-17       Impact factor: 2.681

Review 4.  Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases.

Authors:  Neha Puri; Eric A Coomes; Hourmazd Haghbayan; Keith Gunaratne
Journal:  Hum Vaccin Immunother       Date:  2020-07-21       Impact factor: 3.452

5.  African American adults and seasonal influenza vaccination: Changing our approach can move the needle.

Authors:  Sandra Crouse Quinn
Journal:  Hum Vaccin Immunother       Date:  2017-11-17       Impact factor: 3.452

6.  Exploring the relationship between newspaper coverage of vaccines and childhood vaccination rates in Spain.

Authors:  Daniel Catalan-Matamoros; Carmen Peñafiel-Saiz
Journal:  Hum Vaccin Immunother       Date:  2020-02-04       Impact factor: 3.452

7.  Using classification and regression tree analysis to explore parental influenza vaccine decisions.

Authors:  Yuki Lama; Gregory R Hancock; Vicki S Freimuth; Amelia M Jamison; Sandra Crouse Quinn
Journal:  Vaccine       Date:  2019-12-02       Impact factor: 3.641

8.  Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory.

Authors:  Valerie F Reyna; Sarah Edelson; Bridget Hayes; David Garavito
Journal:  Med Decis Making       Date:  2022-06-23       Impact factor: 2.749

9.  Zika vaccine misconceptions: A social media analysis.

Authors:  Mark Dredze; David A Broniatowski; Karen M Hilyard
Journal:  Vaccine       Date:  2016-05-20       Impact factor: 3.641

10.  Addressing barriers to vaccine acceptance: an overview.

Authors:  Noni E MacDonald; Robb Butler; Eve Dubé
Journal:  Hum Vaccin Immunother       Date:  2017-11-29       Impact factor: 3.452

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