Evidence map›Paper›PMID 36658548›Full record

ArticleBMC medicine2023

Voluntary risk mitigation behaviour can reduce impact of SARS-CoV-2: a real-time modelling study of the January 2022 Omicron wave in England.

Ellen Brooks-Pollock, Kate Northstone, Lorenzo Pellis, Francesca Scarabel, Amy Thomas, Emily Nixon, David A Matthews, Vicky Bowyer, Maria Paz Garcia, Claire J Steves and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Ellen Brooks-PollockPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. Ellen.Brooks-Pollock@bristol.ac.uk.ORCID 0000-0002-5984-4932
Kate NorthstonePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Lorenzo PellisDepartment of Mathematics, University of Manchester, Manchester, UK.
Francesca ScarabelDepartment of Mathematics, University of Manchester, Manchester, UK.
Amy ThomasPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Emily NixonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
David A MatthewsSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
Vicky BowyerDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Maria Paz GarciaDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Claire J StevesDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Nicholas J TimpsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Leon DanonDepartment of Engineering Mathematics, University of Bristol, Bristol, UK.
University of Bristol · GBKing's College London · GBUniversity of Manchester · GBAt Bristol · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_PC_19067Medical Research Council MC_PC_19067/2Medical Research Council MC_PC_20030Medical Research Council MC_PC_20059Medical Research Council MR/V038613/1
6 · The paper itself

Abstract

backgroundPredicting the likely size of future SARS-CoV-2 waves is necessary for public health planning. In England, voluntary "plan B" mitigation measures were introduced in December 2021 including increased home working and face coverings in shops but stopped short of restrictions on social contacts. The impact of voluntary risk mitigation behaviours on future SARS-CoV-2 burden is unknown.

methodsWe developed a rapid online survey of risk mitigation behaviours ahead of the winter 2021 festive period and deployed in two longitudinal cohort studies in the UK (Avon Longitudinal Study of Parents and Children (ALSPAC) and TwinsUK/COVID Symptom Study (CSS) Biobank) in December 2021. Using an individual-based, probabilistic model of COVID-19 transmission between social contacts with SARS-CoV-2 Omicron variant parameters and realistic vaccine coverage in England, we predicted the potential impact of the SARS-CoV-2 Omicron wave in England in terms of the effective reproduction number and cumulative infections, hospital admissions and deaths. Using survey results, we estimated in real-time the impact of voluntary risk mitigation behaviours on the Omicron wave in England, if implemented for the entire epidemic wave.

resultsOver 95% of survey respondents (N

conclusionsPredicting future infection burden is affected by uncertainty in disease severity and vaccine effectiveness estimates. In addition to biological uncertainty, we show that voluntary measures substantially reduce the projected impact of the SARS-CoV-2 Omicron variant but that voluntary measures alone would be unlikely to completely control transmission.

Indexed as

COVID-19SARS-CoV-2ChildEnglandHumansLongitudinal StudiesUnited StatesBehaviour changeInfectious disease modellingInterventionsLongitudinal cohort studiesOmicron variantpolicySARS-CoV-2Scenario modelling

Identifiers

PMID36658548
PMCPMC9851586
OpenAlexW4317499923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.