Evidence map›Paper›PMID 36183069›Full record

ArticleBMC public health2022

A cross-sectional national investigation of COVID-19 outbreaks in nurseries during rapid spread of the Alpha (B.1.1.7) variant of SARS-CoV-2 in England.

Felicity Aiano, Kelsey McOwat, Chinelo Obi, Annabel A Powell, Jessica Flood, Shivraj Bhardwaj, Kelly Stoker, Donna Haskins, Brian Wong, Marta Bertran and 13 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

23 authors at 3 institutions in 1 country.

Felicity AianoImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Kelsey McOwatImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Chinelo ObiImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Annabel A PowellImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Jessica FloodImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Shivraj BhardwajImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Kelly StokerImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Donna HaskinsImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Brian WongImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Marta BertranImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Maria ZavalaImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Johanna BosowskiImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Samuel E I JonesImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Zahin Amin-ChowdhuryImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Laura CoughlanImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Mary SinnathambyImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Asad ZaidiImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Rachel MerrickImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Hongxin ZhaoImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Sharif IsmailImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Mary E RamsayImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Shamez N LadhaniImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK. Shamez.ladhani@ukhsa.gov.uk.
Vanessa SalibaImmunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
UK Health Security AgencyLondon School of Hygiene & Tropical Medicine · GBSt George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn England, the emergence the more transmissible SARS-CoV-2 variant Alpha (B.1.1.7) led to a third national lockdown from December 2020, including restricted attendance at schools. Nurseries, however, remained fully open. COVID-19 outbreaks (≥ 2 laboratory-confirmed cases within 14 days) in nurseries were investigated to assess the risk of SARS-CoV-2 infection and cumulative incidence in staff and children over a three-month period when community SARS-CoV-2 infections rates were high and the Alpha variant was spreading rapidly across England.

methodsThis was a cross-sectional national investigation of COVID-19 outbreaks in nurseries across England. Nurseries reporting a COVID-19 outbreak to PHE between November 2020 and January 2021 were requested to complete a questionnaire about their outbreak.

resultsThree hundred and twenty-four nurseries, comprising 1% (324/32,852) of nurseries in England, reported a COVID-19 outbreak. Of the 315 (97%) nurseries contacted, 173 (55%) reported 1,657 SARS-CoV-2 cases, including 510 (31%) children and 1,147 (69%) staff. A child was the index case in 45 outbreaks (26%) and staff in 125 (72%) outbreaks. Overall, children had an incidence rate of 3.50% (95%CI, 3.21-3.81%) and was similar irrespective of whether the index case was a child (3.55%; 95%CI, 3.01-4.19%) or staff (3.44%; 95%CI, 3.10-3.82%). Among staff, cumulative incidence was lower if the index case was a child (26.28%; 95%CI, 23.54-29.21%%) compared to a staff member (32.98%; 95%CI, 31.19-34.82%), with the highest cumulative incidence when the index case was also a staff member (37.52%; 95%CI, 35.39-39.70%). Compared to November 2020, outbreak sizes and cumulative incidence was higher in January 2021, when the Alpha variant predominated. Nationally, SARS-CoV-2 infection rates in < 5 year-olds remained low and followed trends in older age-groups, increasing during December 2020 and declining thereafter.

conclusionsIn this cross-sectional study of COVID-19 outbreaks in nurseries, one in three staff were affected compared to one in thirty children. There was some evidence of increased transmissibility and higher cumulative incidence associated with the Alpha variant, highlighting the importance of maintaining a low level of community infections.

Indexed as

COVID-19Nurseries, InfantChildCommunicable Disease ControlCross-Sectional StudiesDisease OutbreaksHumansInfantSARS-CoV-2ChildrenEducational settingsEpidemiologyNurseriesSARS-CoV-2

Identifiers

PMID36183069
PMCPMC9526524
OpenAlexW4298325538

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.