Evidence map›Paper›PMID 36063828›Full record

Observational studyThe Lancet. Infectious diseases2023

Epidemiology of respiratory syncytial virus in children younger than 5 years in England during the COVID-19 pandemic, measured by laboratory, clinical, and syndromic surveillance: a retrospective observational study.

Megan Bardsley, Roger A Morbey, Helen E Hughes, Charles R Beck, Conall H Watson, Hongxin Zhao, Joanna Ellis, Gillian E Smith, Alex J Elliot

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed, 4 pooled it
45.0field-weighted citation impact, top 1% 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

186 citing papers in PubMed, 4 syntheses or guidelines pooled it, 302 citations in OpenAlex.

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126 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Megan BardsleyUK Field Epidemiology Training Programme, UK Health Security Agency, London, UK; Field Service South West, Field Services Directorate, UK Health Security Agency, Bristol, UK. Electronic address: megan.bardsley@ukhsa.gov.uk.
Roger A MorbeyReal-time Syndromic Surveillance Team, Field Services Directorate, UK Health Security Agency, Birmingham, UK; National Institute for Health Research Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK.
Helen E HughesReal-time Syndromic Surveillance Team, Field Services Directorate, UK Health Security Agency, Birmingham, UK; National Institute for Health Research Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.
Charles R BeckField Service South West, Field Services Directorate, UK Health Security Agency, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK.
Conall H WatsonImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, London, UK.
Hongxin ZhaoImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, London, UK.
Joanna EllisImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, London, UK.
Gillian E SmithReal-time Syndromic Surveillance Team, Field Services Directorate, UK Health Security Agency, Birmingham, UK; National Institute for Health Research Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK; National Institute for Health Research Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.
Alex J ElliotReal-time Syndromic Surveillance Team, Field Services Directorate, UK Health Security Agency, Birmingham, UK; National Institute for Health Research Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London, UK; National Institute for Health Research Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK.
UK Health Security AgencyKing's College London · GBNational Institute for Health Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeasonal epidemics of respiratory syncytial virus (RSV) cause a clinically significant burden of disease among young children. Non-pharmaceutical interventions targeted at SARS-CoV-2 have affected the activity of other respiratory pathogens. We describe changes in the epidemiology of RSV among children younger than 5 years in England since 2020.

methodsSurveillance data on RSV infections, comprising laboratory-confirmed cases, proportion of positive tests, hospital admissions for RSV-attributable illness, and syndromic indicators for RSV-associated disease (emergency department attendances for acute bronchitis or bronchiolitis, non-emergency health advice telephone service [NHS 111] calls for cough, general practitioner [GP] in-hours consultations for respiratory tract infections, and GP out-of-hours contacts for acute bronchitis or bronchiolitis) were analysed from Dec 29, 2014 to March 13, 2022, for children younger than 5 years. Data were extracted from national laboratory, clinical, and syndromic surveillance systems. Time-series analyses using generalised linear models were used to estimate the effect of non-pharmaceutical interventions targeting SARS-CoV-2 on RSV indicators, with absolute and relative changes calculated by comparing observed and predicted values.

findingsRSV-associated activity was reduced for all RSV indicators during winter 2020-21 in England, with 10 280 (relative change -99·5% [95% prediction interval -100·0 to -99·1]) fewer laboratory-confirmed cases, 22·2 (-99·6%) percentage points lower test positivity, 92 530 (-80·8% [-80·9 to -80·8]) fewer hospital admissions, 96 672 (-73·7% [-73·7 to -73·7]) fewer NHS 111 calls, 2924 (-88·8% [-90·4 to -87·2]) fewer out-of-hours GP contacts, 91 304 (-89·9% [-90·0 to -89·9]) in-hours GP consultations, and 27 486 (-85·3% [-85·4 to -85·2]) fewer emergency department attendances for children younger than 5 years compared with predicted values based on winter seasons before the COVID-19 pandemic. An unprecedented summer surge of RSV activity occurred in 2021, including 11 255 (1258·3% [1178·3 to 1345·8]) extra laboratory-confirmed cases, 11·6 percentage points (527·3%) higher test positivity, 7604 (10·7% [10·7 to 10·8]) additional hospital admissions, 84 425 (124·8% [124·7 to 124·9]) more calls to NHS 111, 409 (39·0% [36·6 to 41·8]) more out-of-hours GP contacts, and 9789 (84·9% [84·5 to 85·4]) more emergency department attendances compared with the predicted values, although there were 21 805 (-34·1% [-34·1 to -34·0]) fewer in-hours GP consultations than expected. Most indicators were also lower than expected in winter 2021-22, although to a lesser extent than in winter 2020-21.

interpretationThe extraordinary absence of RSV during winter 2020-21 probably resulted in a cohort of young children without natural immunity to RSV, thereby raising the potential for increased RSV incidence, out-of-season activity, and health-service pressures when measures to restrict SARS-CoV-2 transmission were relaxed.

fundingNone.

Indexed as

BronchiolitisBronchitisCOVID-19Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsChildChild, PreschoolEnglandHumansInfantLaboratories, ClinicalPandemicsSARS-CoV-2SeasonsSentinel Surveillance

Identifiers

PMID36063828
PMCPMC9762748
OpenAlexW4295851471

What OpenQuestion holds

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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.