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

Natural Language Processing (27) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1554) Infodemiology and Infoveillance (1271) Infectious Diseases (non-STD/STI) (1480) Hygiene and Infection Prevention (297) Outbreak and Pandemic Preparedness and Management (1673) Peer-to-Peer Support and Online Communities (594)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54501, first published .
Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content

Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content

Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content

Authors of this article:

Alexis Jordan1 Author Orcid Image ;   Albert Park1 Author Orcid Image
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