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

Infodemiology and Infoveillance (1369) Public Health Informatics (93) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Peer-to-Peer Support and Online Communities (652) Obstetrics, Gynecology, and Reproductive Medicine (235) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Data Sources and Open Data for Infodemiology (16) Infodemiology in Public Health Informatics (22)

Published on in Vol 25 (2023)

This is a member publication of University of Birmingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49220, first published .
Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Authors of this article:

Kashish Malhotra1, 2 Author Orcid Image ;   Punith Kempegowda2, 3 Author Orcid Image
Article Authors Cited by (9) Tweetations (14) Metrics

Kashish Malhotra   1, 2 , MBBS ;   Punith Kempegowda   2, 3 , PhD

1 Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, India

2 Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

3 Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom

Corresponding Author:

  • Punith Kempegowda, PhD
  • Institute of Applied Health Research
  • College of Medical and Dental Sciences
  • University of Birmingham
  • Edgbaston
  • Birmingham, B15 2TT
  • United Kingdom
  • Phone: 44 7721 930 777
  • Email: P.Kempegowda@bham.ac.uk