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Comparison of the 2021 COVID-19 Roadmap Projections Against Public Health Data in England

Overview
Journal Nat Commun
Specialty Biology
Date 2022 Aug 22
PMID 35995764
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Abstract

Control and mitigation of the COVID-19 pandemic in England has relied on a combination of vaccination and non-pharmaceutical interventions (NPIs). Some of these NPIs are extremely costly (economically and socially), so it was important to relax these promptly without overwhelming already burdened health services. The eventual policy was a Roadmap of four relaxation steps throughout 2021, taking England from lock-down to the cessation of all restrictions on social interaction. In a series of six Roadmap documents generated throughout 2021, models assessed the potential risk of each relaxation step. Here we show that the model projections generated a reliable estimation of medium-term hospital admission trends, with the data points up to September 2021 generally lying within our 95% prediction intervals. The greatest uncertainties in the modelled scenarios came from vaccine efficacy estimates against novel variants, and from assumptions about human behaviour in the face of changing restrictions and risk.

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References
1.
Borchering R, Mullany L, Howerton E, Chinazzi M, Smith C, Qin M . Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022: A multi-model study. Lancet Reg Health Am. 2022; 17:100398. PMC: 9679449. DOI: 10.1016/j.lana.2022.100398. View

2.
Harris R, Hall J, Zaidi A, Andrews N, Dunbar J, Dabrera G . Effect of Vaccination on Household Transmission of SARS-CoV-2 in England. N Engl J Med. 2021; 385(8):759-760. PMC: 8262621. DOI: 10.1056/NEJMc2107717. View

3.
Keeling M, Moore S . An assessment of the vaccination of school-aged children in England against SARS-CoV-2. BMC Med. 2022; 20(1):196. PMC: 9113775. DOI: 10.1186/s12916-022-02379-0. View

4.
Keeling M, Hill E, Gorsich E, Penman B, Guyver-Fletcher G, Holmes A . Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. PLoS Comput Biol. 2021; 17(1):e1008619. PMC: 7857604. DOI: 10.1371/journal.pcbi.1008619. View

5.
Tkachenko A, Maslov S, Wang T, Elbana A, Wong G, Goldenfeld N . Stochastic social behavior coupled to COVID-19 dynamics leads to waves, plateaus, and an endemic state. Elife. 2021; 10. PMC: 8670744. DOI: 10.7554/eLife.68341. View