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CORRECTION article

Front. Public Health, 30 January 2026

Sec. Public Health Policy

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1766577

This article is part of the Research TopicSystem Dynamics Modeling in Public Health: Implementations and ImplicationsView all 9 articles

Correction: Dynamic causal models in infectious disease epidemiology—an assessment of their predictive validity based on the COVID-19 epidemic in the UK 2020 to 2024

  • 1Retired, Devon, United Kingdom
  • 2Queen Square Institute of Neurology, University College London, London, United Kingdom

The reference for 30 was erroneously written as “Friston K, Parr T, Zeidman P. Bayesian model reduction. arXiv. (2019). doi: 10.48550/arXiv.1805.07092”. It should be:

“Friedman J, Liu P, Troeger CE, Carter A, Reiner RC, Barber RM, et al. Predictive performance of international COVID-19 mortality forecasting models. Nat Commun. (2021) 12:2609. doi: 10.1038/s41467-021-22457-w.”

The original version of this article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: coronavirus, compartmental models, epidemiology-descriptive, incidence, public health methodology, dynamic causal modeling

Citation: Bowie C and Friston K (2026) Correction: Dynamic causal models in infectious disease epidemiology—an assessment of their predictive validity based on the COVID-19 epidemic in the UK 2020 to 2024. Front. Public Health 13:1766577. doi: 10.3389/fpubh.2025.1766577

Received: 12 December 2025; Accepted: 29 December 2025;
Published: 30 January 2026.

Edited and reviewed by: Maximilian Pangratius de Courten, Victoria University, Australia

Copyright © 2026 Bowie and Friston. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Cam Bowie, Y2FtLmJvd2llMUBnbWFpbC5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.