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

Data Sources and Open Data for Infodemiology (16) Public Health Informatics (93) JMIR Theme Issue: COVID-19 Special Issue (2461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369) Development of Instruments and Surveys (86) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Vaccination and Immunization in the Digital Age (378) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43700, first published .
Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study

Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study

Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study

Authors of this article:

Nekabari Sigalo1 Author Orcid Image ;   Vanessa Frias-Martinez1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Rahbeni T, Satapathy P, Itumalla R, Marzo R, Mugheed K, Khatib M, Gaidhane S, Zahiruddin Q, Rabaan A, Alrasheed H, Al-Subaie M, Al Kaabil N, Alissa M, Ibrahim A, Alsaif H, Naser I, Rustagi S, Kukreti N, Dziedzic A. COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis. JMIR Public Health and Surveillance 2024;10:e54769 View
  2. Xu J, Wu Z, Wass L, Larson H, Lin L. Mapping global public perspectives on mRNA vaccines and therapeutics. npj Vaccines 2024;9(1) View