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

COVID-19 Vaccination (128) JMIR Theme Issue: COVID-19 Special Issue (2394) Pharmacovigilance (129) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Vaccination and Immunization in the Digital Age (347) Infectious Diseases (non-STD/STI) (1490) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Outbreak and Pandemic Preparedness and Management (1679) Infodemiology and Infoveillance (1278) Natural Language Processing (650)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32543, first published .
Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study

Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study

Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study

Authors of this article:

Zain Hussain1, 2 Author Orcid Image ;   Zakariya Sheikh1 Author Orcid Image ;   Ahsen Tahir3 Author Orcid Image ;   Kia Dashtipour4 Author Orcid Image ;   Mandar Gogate4 Author Orcid Image ;   Aziz Sheikh5 Author Orcid Image ;   Amir Hussain4 Author Orcid Image
Article Authors Cited by (14) Tweetations (20) Metrics

Journals

  1. Akaishi T, Takahashi T, Sato S, Jin X, Masamune A, Ishii T. Prolonged Diarrhea Following COVID-19 Vaccination: A Case Report and Literature Review. The Tohoku Journal of Experimental Medicine 2022;257(3):251 View
  2. Robinson F, Wilkes S, Schaefer N, Goldstein M, Rice M, Gray J, Meyers S, Valentino L. Patient-centered pharmacovigilance: priority actions from the inherited bleeding disorders community. Therapeutic Advances in Drug Safety 2023;14:204209862211464 View
  3. Malik T, Hanif N, Tahir A, Abbas S, Hanif M, Tariq F, Ansari S, Abbasi Q, Imran M. Crowd Control, Planning, and Prediction Using Sentiment Analysis: An Alert System for City Authorities. Applied Sciences 2023;13(3):1592 View
  4. Carpenter K, Altman R. Using GPT-3 to Build a Lexicon of Drugs of Abuse Synonyms for Social Media Pharmacovigilance. Biomolecules 2023;13(2):387 View
  5. Thakur N. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116 View
  6. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863 View
  7. Olawade D, Wada O, David-Olawade A, Kunonga E, Abaire O, Ling J. Using artificial intelligence to improve public health: a narrative review. Frontiers in Public Health 2023;11 View
  8. Huang X, Wang S, Yang D, Hu T, Chen M, Zhang M, Zhang G, Biljecki F, Lu T, Zou L, Wu C, Park Y, Li X, Liu Y, Fan H, Mitchell J, Li Z, Hohl A. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing 2024;4 View
  9. Trinkley K, An R, Maw A, Glasgow R, Brownson R. Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions. Implementation Science 2024;19(1) View
  10. Hussain A, Hussain Z, Gogate M, Dashtipour K, Ng D, Riaz M, Goman A, Sheikh A, Hussain A, Clark M. Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication. PLOS ONE 2024;19(4):e0288223 View
  11. Golder S, O'Connor K, Wang Y, Klein A, Gonzalez Hernandez G. The value of social media analysis for adverse events detection and pharmacovigilance: a Scoping Review (Preprint). JMIR Public Health and Surveillance 2024 View
  12. Hauben M. A Pharmacovigilance Florilegium. Clinical Therapeutics 2024 View

Books/Policy Documents

  1. Taylor W, Hussain A, Gogate M, Dashtipour K, Ahmad J. Decision Making and Security Risk Management for IoT Environments. View
  2. Saiyeda A, Badar M, Tomar D, Badar L, Alam M. Diagnosis and Analysis of COVID-19 Using Artificial Intelligence and Machine Learning-based Techniques. View