A retrospective assessment of forecasting the peak of the SARS-CoV-2 Omicron BA.1 wave in England

Matt J. Keeling; Louise Dyson

doi:10.1371/journal.pcbi.1012452

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Open Access

Peer-reviewed

Research Article

A retrospective assessment of forecasting the peak of the SARS-CoV-2 Omicron BA.1 wave in England

Matt J. Keeling ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: m.j.keeling@warwick.ac.uk

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

https://orcid.org/0000-0003-4639-4765

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Louise Dyson

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/
⨯

A retrospective assessment of forecasting the peak of the SARS-CoV-2 Omicron BA.1 wave in England

Matt J. Keeling,
Louise Dyson

Published: September 23, 2024
https://doi.org/10.1371/journal.pcbi.1012452

About the Authors

Matt J. Keeling

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: m.j.keeling@warwick.ac.uk

Affiliations The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/

https://orcid.org/0000-0003-4639-4765

Louise Dyson

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Competing Interests

The authors have declared that no competing interests exist.

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England
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