Evidence map›Paper›PMID 34753508›Full record

ArticleBMC medicine2021

Predicted norovirus resurgence in 2021-2022 due to the relaxation of nonpharmaceutical interventions associated with COVID-19 restrictions in England: a mathematical modeling study.

Kathleen M O'Reilly, Frank Sandman, David Allen, Christopher I Jarvis, Amy Gimma, Amy Douglas, Lesley Larkin, Kerry L M Wong, Marc Baguelin, Ralph S Baric and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Kathleen M O'ReillyCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-4892-8022
Frank SandmanCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
David AllenDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Christopher I JarvisCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Amy GimmaCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Amy DouglasGastrointestinal Pathogens Unit, National Infection Service, Public Health England, London, UK.
Lesley LarkinGastrointestinal Pathogens Unit, National Infection Service, Public Health England, London, UK.
Kerry L M WongCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Marc BaguelinCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Ralph S BaricDepartment of Epidemiology, University of North Carolina, Chapel Hill, USA.
Lisa C LindesmithDepartment of Epidemiology, University of North Carolina, Chapel Hill, USA.
Richard A GoldsteinDivision of Infection and Immunity, University College London, London, UK.
Judith BreuerDivision of Infection and Immunity, University College London, London, UK.
W John EdmundsCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBPublic Health England · GBUniversity of North Carolina at Chapel Hill · USGreat Ormond Street Hospital · GBUniversity College London · GB

Funding

Antibody Landscape following Human Norovirus Infection and VaccinationR01AI148260 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S · 2020 to 2024
$3.7M
h2020 european research council 101003688Medical Research Council MC_PC_19065national institute of allergy and infectious diseases 1R01 AI148260NIAID NIH HHS R01 AI148260Wellcome TrustWellcome Trust 203268/Z/16/Z
6 · The paper itself

Abstract

backgroundTo reduce the coronavirus disease burden in England, along with many other countries, the government implemented a package of non-pharmaceutical interventions (NPIs) that have also impacted other transmissible infectious diseases such as norovirus. It is unclear what future norovirus disease incidence is likely to look like upon lifting these restrictions.

methodsHere we use a mathematical model of norovirus fitted to community incidence data in England to project forward expected incidence based on contact surveys that have been collected throughout 2020-2021.

resultsWe report that susceptibility to norovirus infection has likely increased between March 2020 and mid-2021. Depending upon assumptions of future contact patterns incidence of norovirus that is similar to pre-pandemic levels or an increase beyond what has been previously reported is likely to occur once restrictions are lifted. Should adult contact patterns return to 80% of pre-pandemic levels, the incidence of norovirus will be similar to previous years. If contact patterns return to pre-pandemic levels, there is a potential for the expected annual incidence to be up to 2-fold larger than in a typical year. The age-specific incidence is similar across all ages.

conclusionsContinued national surveillance for endemic diseases such as norovirus will be essential after NPIs are lifted to allow healthcare services to adequately prepare for a potential increase in cases and hospital pressures beyond what is typically experienced.

Indexed as

COVID-19NorovirusEnglandHumansModels, TheoreticalSARS-CoV-2COVID-19Mathematical modellingNorovirusSeasonalitySurveillanceTransmission

Identifiers

PMID34753508
PMCPMC8577179
OpenAlexW3212871119

What OpenQuestion holds

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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.