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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1727) Infodemiology and Infoveillance (1973) Public Health (363) mHealth for Data Collection and Research (1693) Natural Language Processing (1242) Methods and New Tools in Mental Health Research (882) Artificial Intelligence (4591) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (552)

Published on in Vol 27 (2025)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63634, first published .
Laptop screen showing infographic on school mental health, exam stress, and social support.

Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study

Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study

Authors of this article:

Natalia K Rojas1 Author Orcid Image ;   Sam Martin1 Author Orcid Image ;   Mario Cortina-Borja2 Author Orcid Image ;   Roz Shafran2 Author Orcid Image ;   Lana Fox-Smith2 Author Orcid Image ;   Terence Stephenson2 Author Orcid Image ;   Brian C F Ching3 Author Orcid Image ;   Anaïs d'Oelsnitz2 Author Orcid Image ;   Tom Norris1 Author Orcid Image ;   Yue Xu4 Author Orcid Image ;   Kelsey McOwat5 Author Orcid Image ;   Emma Dalrymple2 Author Orcid Image ;   Isobel Heyman2, 6 Author Orcid Image ;   Tamsin Ford6 Author Orcid Image ;   Trudie Chalder7 Author Orcid Image ;   Ruth Simmons5 Author Orcid Image ;   CLoCk Consortium8 ;   Snehal M Pinto Pereira1 Author Orcid Image
Article Authors Cited by (3) Tweetations (7) Metrics

Journals

  1. Ortega-Martin E, Richards-Belle A, Newlands F, Shafran R, Stephenson T, Rojas N, Batura N, Buszewicz M, Dalrymple E, Heyman I, Pinto Pereira S. Children and young people with persistent post-COVID-19 condition over 24 months: a mixed-methods study. BMJ Paediatrics Open 2025;9(1):e003634 View
  2. Dhir-Hewitt E, Newlands F, Shafran R, Stephenson T, Richards-Belle A, Dalrymple E, Chalder T, Ford T, Fox-Smith L, Heyman I, N. Ladhani S, G Semple M, Segal T, Swann O, Whittaker E, Pinto Pereira S. Exploring post-Covid-19 condition in children and young people 3.5 years after infection: a mixed-methods analysis from the CLoCk study. BMC Public Health 2026;26(1) View

Books/Policy Documents

  1. . Machine Learning with Python. View