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Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration

Birrell, Paul J; Blake, Joshua; Kandiah, Joel; Alexopoulos, Angelos; van Leeuwen, Edwin; Pouwels, Koen; Ghosh, Sanmitra; ... De Angelis, Daniela; + view all (2025) Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration. Journal of the Royal Statistical Society: Statistics in Society Series A (In press). Green open access

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Type: Article
Title: Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration
Open access status: An open access version is available from UCL Discovery
Publisher version: https://academic.oup.com/jrsssa
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10200615
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