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PDFOriginal research
Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections
- Correspondence to Professor Neil J Sebire, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK; n.sebire{at}ucl.ac.uk
Citation
Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections
Publication history
- Received January 11, 2022
- Accepted June 10, 2022
- First published August 10, 2022.
Online issue publication
May 17, 2023
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- Previous version (17 November 2022).
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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.