Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28800, first published .
Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

Journals

  1. Tsai R, Hervey J, Hoffman K, Wood J, Johnson J, Deighton D, Clermont D, Loew B, Goldberg S. COVID-19 Vaccine Hesitancy and Acceptance Among Individuals With Cancer, Autoimmune Diseases, or Other Serious Comorbid Conditions: Cross-sectional, Internet-Based Survey. JMIR Public Health and Surveillance 2022;8(1):e29872 View
  2. Yin J. Media Data and Vaccine Hesitancy: Scoping Review. JMIR Infodemiology 2022;2(2):e37300 View
  3. Bari A, Heymann M, Cohen R, Zhao R, Szabo L, Apas Vasandani S, Khubchandani A, DiLorenzo M, Coffee M. Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms. Clinical Infectious Diseases 2022;74(Supplement_3):e4 View
  4. Hagen L, Fox A, O'Leary H, Dyson D, Walker K, Lengacher C, Hernandez R. The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding. JMIR Infodemiology 2022;2(1):e34231 View
  5. Park S, Suh Y. A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e42623 View
  6. Gélinas-Gascon F, Khoury R. Modeling and Moderation of COVID-19 Social Network Chat. Information 2023;14(2):124 View
  7. Marcec R, Stjepanovic J, Likic R. Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data. JMIR Bioinformatics and Biotechnology 2022;3(1):e38976 View
  8. Baird A, Xia Y, Cheng Y. Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis. JAMIA Open 2022;5(2) View
  9. Blane J, Bellutta D, Carley K. Social-Cyber Maneuvers During the COVID-19 Vaccine Initial Rollout: Content Analysis of Tweets. Journal of Medical Internet Research 2022;24(3):e34040 View
  10. Gao H, Zhao Q, Ning C, Guo D, Wu J, Li L. Does the COVID-19 Vaccine Still Work That “Most of the Confirmed Cases Had Been Vaccinated”? A Content Analysis of Vaccine Effectiveness Discussion on Sina Weibo during the Outbreak of COVID-19 in Nanjing. International Journal of Environmental Research and Public Health 2021;19(1):241 View
  11. Matenga T, Zulu J, Moonzwe Davis L, Chavula M. Motivating factors for and barriers to the COVID-19 vaccine uptake: A review of social media data in Zambia. Cogent Public Health 2022;9(1) View
  12. Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Puleo V, Melnyk A, Lontano A, Ricciardi W. Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature. eClinicalMedicine 2022;48:101454 View
  13. Arrieta A, García-Prado A, Sarmiento J, Paz Castro C. Identifying early adopters of COVID-19 vaccines in Latin America. Vaccine 2022;40(49):7158 View
  14. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  15. Parsons Leigh J, Halperin D, Mizen S, FitzGerald E, Moss S, Fiest K, Di Castri A, Stelfox H, Halperin S. Exploring the impact of media and information on self-reported intentions to vaccinate against COVID-19: A qualitative interview-based study. Human Vaccines & Immunotherapeutics 2022;18(5) View
  16. Skafle I, Nordahl-Hansen A, Quintana D, Wynn R, Gabarron E. Misinformation About COVID-19 Vaccines on Social Media: Rapid Review. Journal of Medical Internet Research 2022;24(8):e37367 View
  17. Boucher J, Kim S, Jessiman-Perreault G, Edwards J, Smith H, Frenette N, Badami A, Scott L. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 2023;23(1) View
  18. Fung H, Sgaier S, Huang V. Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network. Scientific Reports 2023;13(1) View
  19. Ionescu C, Licu M. Are TikTok Algorithms Influencing Users’ Self-Perceived Identities and Personal Values? A Mini Review. Social Sciences 2023;12(8):465 View
  20. Saleh S, McDonald S, Basit M, Kumar S, Arasaratnam R, Perl T, Lehmann C, Medford R. Public perception of COVID-19 vaccines through analysis of Twitter content and users. Vaccine 2023;41(33):4844 View
  21. Ramirez L, Wickner P, Cline N, Rehman N, Wu A, Pien L, Stukus D. How Likes and Retweets Impacted Our Patients During the COVID-19 Pandemic. The Journal of Allergy and Clinical Immunology: In Practice 2023;11(11):3356 View
  22. Pelletier C, Labbé F, Bettinger J, Curran J, Graham J, Greyson D, MacDonald N, Meyer S, Steenbeek A, Xu W, Dubé È. From high hopes to disenchantment: A qualitative analysis of editorial cartoons on COVID-19 vaccines in Canadian newspapers. Vaccine 2023;41(30):4384 View
  23. Déom N, Vanderslott S, Kingori P, Martin S. Online on the frontline: A longitudinal social media analysis of UK healthcare workers’ attitudes to COVID-19 vaccines using the 5C framework. Social Science & Medicine 2023;339:116313 View
  24. Abreu C, Martins A, Branco E, Rocha R, Sarmento A, Magro F. Vaccines – beliefs and concerns: the voice of patients with inflammatory immunomediated diseases. European Journal of Gastroenterology & Hepatology 2023;35(8):848 View
  25. Skarpelos Y, Messini S, Roinioti E, Karpouzis K, Kaperonis S, Marazoti M. Emotions during the Pandemic’s First Wave: The Case of Greek Tweets. Digital 2024;4(1):126 View
  26. Harris M, Murtfeldt R, Wang S, Mordecai E, West J, Ognyanova K. Perceived experts are prevalent and influential within an antivaccine community on Twitter. PNAS Nexus 2024;3(2) View
  27. Gallagher M. Polling to vaccination stations: Brexit’s influence on immunisation uptake. New Perspectives 2024;32(2):162 View
  28. Alibudbud R. Philippine COVID-19 Vaccination Through an Infodemiological Lens: A One-year Web-based Search Volume Analysis From 2020 to 2021. Malaysian Journal of Medicine and Health Sciences 2024;20(1):369 View
  29. Doucette E, Pateman M, Fullerton M, Lip A, Houle S, Kellner J, Leal J, MacDonald S, McNeil D, Davidson S, Constantinescu C. “You can push these conversations, but don’t push your patient away”: healthcare learner perspectives on virtual simulation games as an educational approach to address vaccine hesitancy. Frontiers in Public Health 2024;12 View
  30. Gardasevic S, Jaiswal A, Lamba M, Funakoshi J, Chu K, Shah A, Sun Y, Pokhrel P, Washington P. Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review. Information 2024;15(11):690 View
  31. Sinha G, Graaf G, Larrison C, Brooks I. Gender disparities and mental health manifestations in Twitter discourse on student loan debts. Social Work in Mental Health 2024:1 View

Books/Policy Documents

  1. Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
  2. Nimanthika S, Kuhaneswaran B, Wijeratne A, Kumara S. Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science. View