Evidence map›Paper›PMID 36328978›Full record

ArticleEpidemiology and infection2022

Social risk factors for SARS-CoV-2 acquisition in university students: cross sectional survey.

Eleanor Blakey, Lucy Reeve, Neville Q Verlander, David Edwards, David Wyllie, Mark Reacher

Abstract read
In one paragraph

Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Eleanor BlakeyUK Health Security Agency, East of England Field Service, Cambridge Institute of Public Health, Robinson Way, Cambridgeshire, CB2 0SR, UK.ORCID 0000-0001-8317-5452
Lucy ReeveUK Health Security Agency, East of England Field Service, Cambridge Institute of Public Health, Robinson Way, Cambridgeshire, CB2 0SR, UK.
Neville Q VerlanderModelling and Economics Department, UK Health Security Agency, Statistics, 61 Colindale Ave, London, NW9 5EQ, UK.
David EdwardsUK Health Security Agency, East of England Health Protection Team, The Mildenhall Civic Hub, Sheldrick Way, Mildenhall, Bury St Edmunds, Suffolk, IP28 7JX, UK.
David WyllieUK Health Security Agency, East of England Field Service, Cambridge Institute of Public Health, Robinson Way, Cambridgeshire, CB2 0SR, UK.
Mark ReacherUK Health Security Agency, East of England Field Service, Cambridge Institute of Public Health, Robinson Way, Cambridgeshire, CB2 0SR, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives of this study were to define risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in University of Cambridge (UoC) students during a period of increased incidence in October and November 2020. The study design was a survey.Routine public health surveillance identified an increase in the numbers of UoC students with confirmed SARS-CoV-2 positivity in the 10 days after a national lockdown was announced in the UK on 5th November 2020. Cases were identified both through symptom-triggered testing and a universal asymptomatic testing programme. An online questionnaire was sent to all UoC students on 25 November to investigate risk factors for testing positive in the period after 30th October 2020. This asked about symptoms, SARS-CoV-2 test results, aspects of university life, and attendance at social events in the week prior to lockdown. Univariate and multivariable analyses were undertaken evaluating potential risk factors for SARS-CoV-2 positivity.Among 3980 students responding to the questionnaire, 99 (2.5%) reported testing SARS-CoV-2 positive in the period studied; 28 (28%) were asymptomatic. We found strong independent associations with SARS-CoV-2 positivity and attendance at two social settings in the City of Cambridge (adjusted odds ratio favouring disease 13.0 (95% CI 6.2-26.9) and 14.2 (95% CI 2.9-70)), with weaker evidence of association with three further social settings. By contrast, we did not observe strong independent associations between disease risk and accommodation type or attendance at a range of activities associated with the university curriculum.To conclude attendance at social settings can facilitate widespread SARS-CoV-2 transmission in university students. Constraint of transmission in higher education settings needs to emphasise risks outside university premises, as well as a COVID-safe environment within university premises.

Indexed as

COVID-19SARS-CoV-2Communicable Disease ControlCross-Sectional StudiesHumansRisk FactorsCOVID-19infectious disease controlinfectious disease epidemiologysurveillance

Identifiers

PMID36328978
PMCPMC9767901

What OpenQuestion holds

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Registered trials

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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.