Correction
Frontiers in Public Health ·
Volume 14 - 2026 | https://doi.org/10.3389/fpubh.2026.2015265
Correction: Pathogen prevalence, feature composition and cross-centre generalisability of machine learning diagnostic models for multi-pathogen respiratory infection
- Fengmiao Hu1
- Xingyu Zhou1
- Lijun Zhou1
- Zhirui Li1
- Shuang Dong1
- Chongkun Xiao1*corresponding author
- Sichuan Center for Disease Control and Prevention, Chengdu, China
Abstract
Keywords
An incorrect Funding statement was provided. The correct Funding statement reads:
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Sichuan Provincial Center for Disease Control and Prevention Youth Fund Project (Grant No. QN202509).
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.
Footnotes
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
Citation
Hu, F., et al. (2026). Correction: Pathogen prevalence, feature composition and cross-centre generalisability of machine learning diagnostic models for multi-pathogen respiratory infection. Frontiers in Public Health, Volume 14. https://doi.org/
- Received
- Accepted
- Published
- Volume
- 14 - 2026
Copyright
Copyright © 2026 Hu, Zhou, Zhou, Li, Dong and Xiao.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: Chongkun Xiao
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