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Published on 04.01.16 in Vol 2, No 1 (2016): Jan-Jun

This paper is in the following e-collection/theme issue:

Works citing "The Measles Vaccination Narrative in Twitter: A Quantitative Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.5059):

(note that this is only a small subset of citations)

  1. Porat T, Garaizar P, Ferrero M, Jones H, Ashworth M, Vadillo MA. Content and source analysis of popular tweets following a recent case of diphtheria in Spain. European Journal of Public Health 2018;
    CrossRef
  2. Vraga EK, Bode L. I do not believe you: how providing a source corrects health misperceptions across social media platforms. Information, Communication & Society 2018;21(10):1337
    CrossRef
  3. Lwin M, Lu J, Sheldenkar A, Schulz P. Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model. International Journal of Environmental Research and Public Health 2018;15(9):1974
    CrossRef
  4. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  5. Bode L, Vraga EK. See Something, Say Something: Correction of Global Health Misinformation on Social Media. Health Communication 2018;33(9):1131
    CrossRef
  6. Anguera MT, Portell M, Chacón-Moscoso S, Sanduvete-Chaves S. Indirect Observation in Everyday Contexts: Concepts and Methodological Guidelines within a Mixed Methods Framework. Frontiers in Psychology 2018;9
    CrossRef
  7. Cacciatore MA, Nowak GJ, Evans NJ. It's Complicated: The 2014-2015 U.S. Measles Outbreak and Parents’ Vaccination Beliefs, Confidence, and Intentions. Risk Analysis 2018;38(10):2178
    CrossRef
  8. Neumayer C, Rossi L. Images of protest in social media: Struggle over visibility and visual narratives. New Media & Society 2018;20(11):4293
    CrossRef
  9. Mitran CI, Mitran MI, Tampa M, Georgescu SR, Popa MI. Communication – a key element in vaccination strategies. Infectio.ro 2018;54 (2)(1):13
    CrossRef
  10. Lama Y, Chen T, Dredze M, Jamison A, Quinn SC, Broniatowski DA. Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(9):e10244
    CrossRef
  11. Fung IC, Jackson AM, Mullican LA, Blankenship EB, Goff ME, Guinn AJ, Saroha N, Tse ZTH. Contents, Followers, and Retweets of the Centers for Disease Control and Prevention’s Office of Advanced Molecular Detection (@CDC_AMD) Twitter Profile: Cross-Sectional Study. JMIR Public Health and Surveillance 2018;4(2):e33
    CrossRef
  12. Gastañaduy PA, Banerjee E, DeBolt C, Bravo-Alcántara P, Samad SA, Pastor D, Rota PA, Patel M, Crowcroft NS, Durrheim DN. Public health responses during measles outbreaks in elimination settings: Strategies and challenges. Human Vaccines & Immunotherapeutics 2018;14(9):2222
    CrossRef
  13. Stefanidis A, Vraga E, Lamprianidis G, Radzikowski J, Delamater PL, Jacobsen KH, Pfoser D, Croitoru A, Crooks A. Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts. JMIR Public Health and Surveillance 2017;3(2):e22
    CrossRef
  14. Kim I, Feng C, Wang Y, Spitzberg BH, Tsou M. Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea. The Professional Geographer 2017;69(4):629
    CrossRef
  15. Meleo-Erwin Z, Basch C, MacLean SA, Scheibner C, Cadorett V. “To each his own”: Discussions of vaccine decision-making in top parenting blogs. Human Vaccines & Immunotherapeutics 2017;13(8):1895
    CrossRef
  16. MacDougall D, Langley J, Li L, Ye L, MacKinnon-Cameron D, Top K, McNeil S, Halperin B, Swain A, Bettinger J, Dubé E, De Serres G, Halperin S. Knowledge, attitudes, beliefs, and behaviors of university students, faculty, and staff during a meningococcal serogroup B outbreak vaccination program. Vaccine 2017;35(18):2520
    CrossRef
  17. Deiner MS, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley SF, Liu F, Lietman TM, Porco TC. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2017;:146045821774072
    CrossRef
  18. van Lent LG, Sungur H, Kunneman FA, van de Velde B, Das E. Too Far to Care? Measuring Public Attention and Fear for Ebola Using Twitter. Journal of Medical Internet Research 2017;19(6):e193
    CrossRef
  19. Marcon AR, Caulfield T, Schumacher U. Commenting on chiropractic: A YouTube analysis. Cogent Medicine 2017;4(1)
    CrossRef
  20. Kim JY, Park J, Park E, Ji SM. Analysis of issues and trends in cosmetic plastic procedures using tweets from Twitters. Public Health Affairs 2017;1(1):129
    CrossRef
  21. Wang Y, Fikis DJ. Common Core State Standards on Twitter: Public Sentiment and Opinion Leaders. Educational Policy 2017;:089590481772373
    CrossRef
  22. Du L, Rachul C, Guo Z, Caulfield T. Gordie Howe’s “Miraculous Treatment”: Case Study of Twitter Users’ Reactions to a Sport Celebrity’s Stem Cell Treatment. JMIR Public Health and Surveillance 2016;2(1):e8
    CrossRef
  23. Tangherlini TR, Roychowdhury V, Glenn B, Crespi CM, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166
    CrossRef
  24. Lazard AJ, Saffer AJ, Wilcox GB, Chung AD, Mackert MS, Bernhardt JM. E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter. JMIR Public Health and Surveillance 2016;2(2):e171
    CrossRef
  25. Marcon AR, Klostermann P, Caulfield T. Chiropractic and Spinal Manipulation Therapy on Twitter: Case Study Examining the Presence of Critiques and Debates. JMIR Public Health and Surveillance 2016;2(2):e153
    CrossRef