ArticleFrontiers in public health2016
Twitter Influence on UK Vaccination and Antiviral Uptake during the 2009 H1N1 Pandemic.
Article in Frontiers in public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study.JMIR infodemiology · 2025Article
- "I definitely cannot afford to be feeling poorly if there's no need to be": a qualitative evaluation of antiviral uptake following suspected occupational exposure to avian influenza.BMC public health · 2025Article
- A thematic analysis of UK COVID-19 vaccine hesitancy discussions on Twitter.BMC public health · 2025Article
- Using Protection Motivation Theory to develop a survey of over-the-counter decision-making by older adults.Research in social & administrative pharmacy : RSAP · 2024Article
- Article
- Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects.Computers in human behavior · 2023Article
- A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media.Sensors (Basel, Switzerland) · 2023Review
- A 4D Theoretical Framework for Measuring Topic-Specific Influence on Twitter: Development and Usability Study on Dietary Sodium Tweets.Journal of medical Internet research · 2023Article
- Leveraging machine learning to analyze sentiment from COVID-19 tweets: A global perspective.Engineering reports : open access · 2022Article
- Risk governance during the COVID-19 pandemic: A quantitative content analysis of governors' narratives on twitter.Journal of contingencies and crisis management · 2022Article
- COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing.Journal of healthcare informatics research · 2022Article
- Managing urban citizens' panic levels and preventive behaviours during COVID-19 with pandemic information released by social media.Cities (London, England) · 2022Article
- Public Social Media Discussions on Agricultural Product Safety Incidents: Chinese African Swine Fever Debate on Weibo.Frontiers in psychology · 2022Article
- Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis.Journal of medical Internet research · 2021Article
- Article
- Article
- Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach.JMIR medical informatics · 2021Article
- Monitoring the psychological, social, and economic impact of the COVID-19 pandemic in the population: Context, design and conduct of the longitudinal COVID-19 psychological research consortium (C19PRC) study.International journal of methods in psychiatric research · 2021Review
- Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review.JMIR public health and surveillance · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveInformation exchange via Twitter and other forms of social media make public health communication more complex as citizens play an increasingly influential role in shaping acceptable or desired health behaviors. Taking the case of the 2009-2010 H1N1 pandemic, we explore in detail the dissemination of H1N1-related advice in the UK through Twitter to see how it was used to discourage or encourage vaccine and antiviral uptake.
methodsIn three stages we conducted (1) an analysis of general content, retweeting patterns, and URL sharing, (2) a discourse analysis of the public evaluation of press releases and (3) a template analysis of conversations around vaccine and antiviral uptake, using Protection Motivation Theory (PMT) as a way of understanding how the public weighed the costs and benefits.
resultsNetwork analysis of retweets showed that information from official sources predominated. Analysing the spread of significant messages through Twitter showed that most content was descriptive but there was some criticism of health authorities. A detailed analysis of responses to press releases revealed some scepticism over the economic beneficiaries of vaccination, that served to undermine public trust. Finally, the conversational analysis showed the influence of peers when weighing up the risks and benefits of medication.
conclusionMost tweets linked to reliable sources, however Twitter was used to discuss both individual and health authority motivations to vaccinate. The PMT framework describes the ways individuals assessed the threat of the H1N1 pandemic, weighing this against the perceived cost of taking medication. These findings offer some valuable insights for social media communication practices in future pandemics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.