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Open Access

Peer-reviewed

Research Article

Machine learning forecasts for seasonal epidemic peaks: Lessons learnt from an atypical respiratory syncytial virus season

Roger A. Morbey ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing

* E-mail: roger.morbey@ukhsa.gov.uk

Affiliation Real-Time Syndromic Surveillance Team, Field Services, Health Protection Operations, UK Health Security Agency, Birmingham, United Kingdom

https://orcid.org/0000-0001-8543-477X

⨯
Daniel Todkill,

Roles Writing – review & editing

Affiliation Real-Time Syndromic Surveillance Team, Field Services, Health Protection Operations, UK Health Security Agency, Birmingham, United Kingdom
⨯
Conall Watson,

Roles Validation, Writing – review & editing

Affiliation Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, London, United Kingdom
⨯
Alex J. Elliot

Roles Writing – review & editing

Affiliation Real-Time Syndromic Surveillance Team, Field Services, Health Protection Operations, UK Health Security Agency, Birmingham, United Kingdom
⨯

Machine learning forecasts for seasonal epidemic peaks: Lessons learnt from an atypical respiratory syncytial virus season

Roger A. Morbey,
Daniel Todkill,
Conall Watson,
Alex J. Elliot

x

Published: September 22, 2023
https://doi.org/10.1371/journal.pone.0291932

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