Evidence map›Paper›PMID 33739255›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2021

The impact of social and physical distancing measures on COVID-19 activity in England: findings from a multi-tiered surveillance system.

Jamie Lopez Bernal, Mary A Sinnathamby, Suzanne Elgohari, Hongxin Zhao, Chinelo Obi, Laura Coughlan, Vasileios Lampos, Ruth Simmons, Elise Tessier, Helen Campbell and 19 more

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  13. Rapidly adapting primary care sentinel surveillance across seven countries in Europe for COVID-19 in the first half of 2020: strengths, challenges, and lessons learned.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
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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

29 authors at 3 institutions in 1 country.

Jamie Lopez BernalPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Mary A SinnathambyPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Suzanne ElgohariPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Hongxin ZhaoPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Chinelo ObiPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Laura CoughlanPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Vasileios LamposDepartment of Computer Science, University College London, London, United Kingdom.
Ruth SimmonsPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Elise TessierPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Helen CampbellPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Suzanna McDonaldPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Joanna EllisPublic Health England COVID-19 Virology Cell, London, United Kingdom.
Helen HughesPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Gillian SmithPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Manasa TripathyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Rachel ByfordNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Filipa FerreiraNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Maria ZambonPublic Health England COVID-19 Virology Cell, London, United Kingdom.
Gavin DabreraPublic Health England COVID-19 Epidemiology Cell, London, United Kingdom.
Kevin BrownPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Vanessa SalibaPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Nick AndrewsPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Gayatri AmirthalingamPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Sema MandalPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Michael EdelsteinPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Alex J ElliotPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Mary RamsayPublic Health England COVID-19 Surveillance Cell, London, United Kingdom.
Public Health England · GBUniversity of Oxford · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundA multi-tiered surveillance system based on influenza surveillance was adopted in the United Kingdom in the early stages of the coronavirus disease (COVID-19) epidemic to monitor different stages of the disease. Mandatory social and physical distancing measures (SPDM) were introduced on 23 March 2020 to attempt to limit transmission.AimTo describe the impact of SPDM on COVID-19 activity as detected through the different surveillance systems.MethodsData from national population surveys, web-based indicators, syndromic surveillance, sentinel swabbing, respiratory outbreaks, secondary care admissions and mortality indicators from the start of the epidemic to week 18 2020 were used to identify the timing of peaks in surveillance indicators relative to the introduction of SPDM. This timing was compared with median time from symptom onset to different stages of illness and levels of care or interactions with healthcare services.ResultsThe impact of SPDM was detected within 1 week through population surveys, web search indicators and sentinel swabbing reported by onset date. There were detectable impacts on syndromic surveillance indicators for difficulty breathing, influenza-like illness and COVID-19 coding at 2, 7 and 12 days respectively, hospitalisations and critical care admissions (both 12 days), laboratory positivity (14 days), deaths (17 days) and nursing home outbreaks (4 weeks).ConclusionThe impact of SPDM on COVID-19 activity was detectable within 1 week through community surveillance indicators, highlighting their importance in early detection of changes in activity. Community swabbing surveillance may be increasingly important as a specific indicator, should circulation of seasonal respiratory viruses increase.

Indexed as

Epidemiological MonitoringPhysical DistancingCOVID-19HumansUnited KingdomcoronavirusCOVID-19lockdownnon-pharmaceutical interventionssocial distancingsurveillance

Identifiers

PMID33739255
PMCPMC7976385
OpenAlexW3137880065

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.