Comparison of the 2021 COVID-19 roadmap projections against public health data in England

The ’Roadmap’ for relaxation of COVID-19 restrictions in England in 2021 was informed by mathematical modelling. Here, the authors perform a retrospective assessment of the accuracy of modelling predictions and identify the main sources of uncertainty that led to observed values deviating from proje...
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Autor*in:	Matt J. Keeling [verfasserIn] Louise Dyson [verfasserIn] Michael J. Tildesley [verfasserIn] Edward M. Hill [verfasserIn] Samuel Moore [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Nature Communications - Nature Portfolio, 2016, 13(2022), 1, Seite 19
Übergeordnetes Werk:	volume:13 ; year:2022 ; number:1 ; pages:19

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41467-022-31991-0

Katalog-ID:	DOAJ085728438

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author	Matt J. Keeling
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topic_title	Comparison of the 2021 COVID-19 roadmap projections against public health data in England
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title	Comparison of the 2021 COVID-19 roadmap projections against public health data in England
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title_sort	comparison of the 2021 covid-19 roadmap projections against public health data in england
title_auth	Comparison of the 2021 COVID-19 roadmap projections against public health data in England
abstract	The ’Roadmap’ for relaxation of COVID-19 restrictions in England in 2021 was informed by mathematical modelling. Here, the authors perform a retrospective assessment of the accuracy of modelling predictions and identify the main sources of uncertainty that led to observed values deviating from projections.
abstractGer	The ’Roadmap’ for relaxation of COVID-19 restrictions in England in 2021 was informed by mathematical modelling. Here, the authors perform a retrospective assessment of the accuracy of modelling predictions and identify the main sources of uncertainty that led to observed values deviating from projections.
abstract_unstemmed	The ’Roadmap’ for relaxation of COVID-19 restrictions in England in 2021 was informed by mathematical modelling. Here, the authors perform a retrospective assessment of the accuracy of modelling predictions and identify the main sources of uncertainty that led to observed values deviating from projections.
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title_short	Comparison of the 2021 COVID-19 roadmap projections against public health data in England
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