Patty Kostkova
ABSTRACT
Vaccine hesitancy, traditionally linked to issues of trust, misinformation and prior beliefs, has been increasingly fuelled by influential groups on social media (SM) and the Internet. Analysis of news media and social networks (SN) accessible in real-time provides a new opportunity for detecting changes in public confidence in vaccines. However, different concerns are important in different regions, and reasons for hesitancy and the role of opinion leaders vary between sub-controversies in the broader vaccination debates. It is therefore important for public health professionals to gain an overview of the emerging debates in cyberspace, identify influential users and rumours, and assess their impact in order to know how to respond.
The VAC Medi+Board project aims to visualise the diffusion of rumours through SN and assess the impact of key individuals. We include, as a case study, discussions during winter 2015-16 pertaining to the alleged side-effects of the HPV vaccine.
- P. Kostkova. Public Health. Chapter in Y Mejova, I Weber, MW Macy (Eds): "Twitter: Digital Socioscope", Cambridge University Press, UCA, 2015, pp.111--130.Google Scholar
- P Kostkova, D. Fowler, S Wiseman, J Weinberg. "Major infection events over 5 years -- how is media coverage influencing online information needs of healthcare professionals and the public"? Journal of Medical Internet Research (JMIR), 2013, 15(7):e107.Google ScholarCross Ref
- P Kostkova, S Garbin, J Moser, W Pan. Integration and visualization public health dashboard: the medi+board pilot project. In Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web companion (WWW Companion '14). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 657--662. Google ScholarDigital Library
- M Szomszor, P Kostkova, C St Louis. Twitter Informatics: Tracking and Understanding Public Reaction during the 2009 Swine Flu Pandemics. IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology 2011, WI-IAT, Vol. 1, pp.320--323. Google ScholarDigital Library
- P. Kostkova, M Szomszor, C St Louis. #swineflu: The Use of Twitter as an Early Warning Tool and for Risk Communication in the 2009 Swine Flu Pandemic. ACM Transactions on Management Information systems (ACM TMIS), SI on Informatics for Smart Health and Wellbeing, Vol 5, No 2, Article 8, July 2014. Google ScholarDigital Library
- Centers for Disease Control and Prevention. Ten great public health achievements -- United States. 1900--1999, MMWR Morbidity Mortality Weekly Report 48:241--243, 99.Google Scholar
- C Ash. Summun bonum. Science Translational Medicine 2:61ed8, 2010.Google ScholarCross Ref
- VAA Jansen et al. Measles outbreaks in a population with declining vaccine uptake. Science 301:804, 2003.Google ScholarCross Ref
- M Salathe et al. The effect of opinion clustering on disease outbreaks. Journal R Soc Interface 5:1505--1508, 2008.Google ScholarCross Ref
- M Salathe, S Khandelwal. Assessing Vaccination Sentiments with online Social Media: Implications for Infectious Disease dynamics and Control. PLOS Computational Biology, October 2011, Vol 7, Issue 10, e1002199.Google ScholarCross Ref
- S Aral et al. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. PNAS USA, 106:21544--21549.Google ScholarCross Ref
- CR Shalizi, AC Thomas. Homophily and contagion are generically confounded in observational social network studies. Sociology Methods Research 40:211--239.Google ScholarCross Ref
- M Salathe, QV Duy, K Shashank, DR Hunter. The dynamics of health behaviour sentiments on a large online social network. EPJ Data Science 2013, 2:4.Google Scholar
- Larson et al. Tracking the global spread of vaccine sentiments: the global response to Japan's suspension of its HPV vaccine recommendation. Hum Vaccin Immunother, 10(9), pp. 2543--50 2014.Google ScholarCross Ref
- Larson et al. Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyze public concerns about vaccines. Lancet Infect Dis 13(7), pp. 606--13 2015.Google ScholarCross Ref
- P Kostkova, V Mano, HJ Larson, WS Schulz. VAC Medi+Board: Analysing Vaccine Rumours in News and Social Media. Proc of the 6th International Conference on Digital Health, pp. 163--164, Montreal, Canada, 2016. Google ScholarDigital Library
- Y Yang, J Lescovec. Modeling Information Diffusion in Implicit Networks. Stanford online library: http://ilpubs.stanford.edu:8090/989/1/paper-influence.pdf (accessed October 20th 2016).Google Scholar
- P. Kostkova. Medi+board: The Public Health Dashboard. Oral Presentation and Abstract in the Proceedings of the Medicine 2.0 2014, Malaga October 9--10th, 2014.Google Scholar
- H Larson. The world must accept that the HPV vaccine is safe. Nature, Volume 528, Issue 5780, December 1 2015, http://www.nature.com/news/the-world-must-accept-that-the-hpv-vaccine-is-safe-1.18918Google Scholar
- Varadkar, L. National Sexual Health Strategy 2015 - 2020 And Action Plan 2015--2016. Ireland {online}. Available at: http://health.gov.ie/wp-content/uploads/2015/10/National-Sexual-Health-Strategy.pdf {Accessed 19 Apr. 2016}.Google Scholar
- Pratt, S. The Short Half-Life of Your Social Recruiting Posts. Social Talent {online}. Available at: http://www.socialtalent.co/blog/the-short-half-life-of-your-social-media-posts {Accessed 19 Apr. 2016}.Google Scholar
- Kostkova P, et al. Who Owns the Data? Open Data for Healthcare. Front. Public Health 4:7.Google Scholar
Index Terms
- Who is Spreading Rumours about Vaccines?: Influential User Impact Modelling in Social Networks
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