Literature DB >> 29148313

Facebook and Twitter vaccine sentiment in response to measles outbreaks.

Michael S Deiner1,1, Cherie Fathy2,1, Jessica Kim1,1, Katherine Niemeyer3,1, David Ramirez1, Sarah F Ackley1, Fengchen Liu1, Thomas M Lietman1, Travis C Porco1.   

Abstract

Social media posts regarding measles vaccination were classified as pro-vaccination, expressing vaccine hesitancy, uncertain, or irrelevant. Spearman correlations with Centers for Disease Control and Prevention-reported measles cases and differenced smoothed cumulative case counts over this period were reported (using time series bootstrap confidence intervals). A total of 58,078 Facebook posts and 82,993 tweets were identified from 4 January 2009 to 27 August 2016. Pro-vaccination posts were correlated with the US weekly reported cases (Facebook: Spearman correlation 0.22 (95% confidence interval: 0.09 to 0.34), Twitter: 0.21 (95% confidence interval: 0.06 to 0.34)). Vaccine-hesitant posts, however, were uncorrelated with measles cases in the United States (Facebook: 0.01 (95% confidence interval: -0.13 to 0.14), Twitter: 0.0011 (95% confidence interval: -0.12 to 0.12)). These findings may result from more consistent social media engagement by individuals expressing vaccine hesitancy, contrasted with media- or event-driven episodic interest on the part of individuals favoring current policy.

Entities:  

Keywords:  measles; patient compliance; social media; treatment refusal; vaccination

Year:  2017        PMID: 29148313      PMCID: PMC5930144          DOI: 10.1177/1460458217740723

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  79 in total

1.  Diagnosis of measles with an IgM capture EIA: the optimal timing of specimen collection after rash onset.

Authors:  R F Helfand; J L Heath; L J Anderson; E F Maes; D Guris; W J Bellini
Journal:  J Infect Dis       Date:  1997-01       Impact factor: 5.226

2.  Evaluation of a multinational, multilingual vaccine debate on Twitter.

Authors:  Benedikt F H Becker; Heidi J Larson; Jan Bonhoeffer; Erik M van Mulligen; Jan A Kors; Miriam C J M Sturkenboom
Journal:  Vaccine       Date:  2016-11-10       Impact factor: 3.641

3.  Vaccine hesitancy: More than a movement.

Authors:  David Callender
Journal:  Hum Vaccin Immunother       Date:  2016-05-09       Impact factor: 3.452

Review 4.  Effectiveness of social media in reducing risk factors for noncommunicable diseases: a systematic review and meta-analysis of randomized controlled trials.

Authors:  George Mita; Cliona Ni Mhurchu; Andrew Jull
Journal:  Nutr Rev       Date:  2016-03-05       Impact factor: 7.110

5.  U.K. parents' decision-making about measles-mumps-rubella (MMR) vaccine 10 years after the MMR-autism controversy: a qualitative analysis.

Authors:  Katrina F Brown; Susannah J Long; Mary Ramsay; Michael J Hudson; John Green; Charles A Vincent; J Simon Kroll; Graham Fraser; Nick Sevdalis
Journal:  Vaccine       Date:  2012-01-09       Impact factor: 3.641

6.  Vaccination Coverage Among Children in Kindergarten - United States, 2015-16 School Year.

Authors:  Ranee Seither; Kayla Calhoun; Jenelle Mellerson; Cynthia L Knighton; Erica Street; Vance Dietz; J Michael Underwood
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-10-07       Impact factor: 17.586

7.  Disease detection or public opinion reflection? Content analysis of tweets, other social media, and online newspapers during the measles outbreak in The Netherlands in 2013.

Authors:  Liesbeth Mollema; Irene Anhai Harmsen; Emma Broekhuizen; Rutger Clijnk; Hester De Melker; Theo Paulussen; Gerjo Kok; Robert Ruiter; Enny Das
Journal:  J Med Internet Res       Date:  2015-05-26       Impact factor: 5.428

8.  Too Far to Care? Measuring Public Attention and Fear for Ebola Using Twitter.

Authors:  Liza Gg van Lent; Hande Sungur; Florian A Kunneman; Bob van de Velde; Enny Das
Journal:  J Med Internet Res       Date:  2017-06-13       Impact factor: 5.428

9.  Using Facebook as a Platform to Direct Young Black Men Who Have Sex With Men to a Video-Based HIV Testing Intervention: A Feasibility Study.

Authors:  Thomas Alex Washington; Sheldon Applewhite; Wendell Glenn
Journal:  Urban Soc Work       Date:  2017-03-01

10.  The Measles Vaccination Narrative in Twitter: A Quantitative Analysis.

Authors:  Jacek Radzikowski; Anthony Stefanidis; Kathryn H Jacobsen; Arie Croitoru; Andrew Crooks; Paul L Delamater
Journal:  JMIR Public Health Surveill       Date:  2016-01-04
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  18 in total

Review 1.  Revisiting the 2014-15 Disneyland measles outbreak and its influence on pediatric vaccinations.

Authors:  Margaret K Doll; John W Correira
Journal:  Hum Vaccin Immunother       Date:  2021-09-08       Impact factor: 4.526

2.  A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study.

Authors:  Michael S Deiner; Gurbani Kaur; Stephen D McLeod; Julie M Schallhorn; James Chodosh; Daniel H Hwang; Thomas M Lietman; Travis C Porco
Journal:  J Med Internet Res       Date:  2022-07-05       Impact factor: 7.076

3.  Navigating Social Media in #Ophthalmology.

Authors:  Edmund Tsui; Rajesh C Rao
Journal:  Ophthalmology       Date:  2019-06       Impact factor: 14.277

4.  Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology.

Authors:  Jeongah On; Hyeoun-Ae Park; Tae-Min Song
Journal:  J Med Internet Res       Date:  2019-06-07       Impact factor: 5.428

5.  Predicting epidemics using search engine data: a comparative study on measles in the largest countries of Europe.

Authors:  Loukas Samaras; Miguel-Angel Sicilia; Elena García-Barriocanal
Journal:  BMC Public Health       Date:  2021-01-21       Impact factor: 3.295

6.  Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019.

Authors:  Hilary Piedrahita-Valdés; Diego Piedrahita-Castillo; Javier Bermejo-Higuera; Patricia Guillem-Saiz; Juan Ramón Bermejo-Higuera; Javier Guillem-Saiz; Juan Antonio Sicilia-Montalvo; Francisco Machío-Regidor
Journal:  Vaccines (Basel)       Date:  2021-01-07

Review 7.  Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review.

Authors:  Emilie Karafillakis; Sam Martin; Clarissa Simas; Kate Olsson; Judit Takacs; Sara Dada; Heidi Jane Larson
Journal:  JMIR Public Health Surveill       Date:  2021-02-08

8.  Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic.

Authors:  Quyen G To; Kien G To; Van-Anh N Huynh; Nhung T Q Nguyen; Diep T N Ngo; Stephanie J Alley; Anh N Q Tran; Anh N P Tran; Ngan T T Pham; Thanh X Bui; Corneel Vandelanotte
Journal:  Int J Environ Res Public Health       Date:  2021-04-12       Impact factor: 3.390

9.  Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy.

Authors:  Lara Tavoschi; Filippo Quattrone; Eleonora D'Andrea; Pietro Ducange; Marco Vabanesi; Francesco Marcelloni; Pier Luigi Lopalco
Journal:  Hum Vaccin Immunother       Date:  2020-03-02       Impact factor: 3.452

Review 10.  Public health responses during measles outbreaks in elimination settings: Strategies and challenges.

Authors:  Paul A Gastañaduy; Emily Banerjee; Chas DeBolt; Pamela Bravo-Alcántara; Samia A Samad; Desiree Pastor; Paul A Rota; Manisha Patel; Natasha S Crowcroft; David N Durrheim
Journal:  Hum Vaccin Immunother       Date:  2018-07-11       Impact factor: 3.452

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