Evidence map›Paper›PMID 34053255›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

The impact of testing and infection prevention and control strategies on within-hospital transmission dynamics of COVID-19 in English hospitals.

Stephanie Evans, Emily Agnew, Emilia Vynnycky, James Stimson, Alex Bhattacharya, Christopher Rooney, Ben Warne, Julie Robotham

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
–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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Effectiveness of SARS-CoV-2 testing strategies.The Cochrane database of systematic reviews · 2025
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  20. Cardiovascular surgery during the first wave of COVID-19 pandemic.Turk gogus kalp damar cerrahisi dergisi · 2023
    Article

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

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

8 authors.

Stephanie EvansModelling and Economics Unit, National Infection Service, Public Health England, London, UK.
Emily AgnewModelling and Economics Unit, National Infection Service, Public Health England, London, UK.
Emilia VynnyckyModelling and Economics Unit, National Infection Service, Public Health England, London, UK.
James StimsonModelling and Economics Unit, National Infection Service, Public Health England, London, UK.
Alex BhattacharyaHealthcare Associated Infection and Antimicrobial Resistance Division, National Infection Service, Public Health England, London, UK.
Christopher RooneyLeeds Institute of Medical Research, University of Leeds, Leeds, UK.
Ben WarneCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Julie RobothamModelling and Economics Unit, National Infection Service, Public Health England, London, UK.

Funding

Versus Arthritis 22294
6 · The paper itself

Abstract

Nosocomial transmission of SARS-CoV-2 is a key concern, and evaluating the effect of testing and infection prevention and control strategies is essential for guiding policy in this area. Using a within-hospital SEIR transition model of SARS-CoV-2 in a typical English hospital, we estimate that between 9 March 2020 and 17 July 2020 approximately 20% of infections in inpatients, and 73% of infections in healthcare workers (HCWs) were due to nosocomial transmission. Model results suggest that placing suspected COVID-19 patients in single rooms or bays has the potential to reduce hospital-acquired infections in patients by up to 35%. Periodic testing of HCWs has a smaller effect on the number of hospital-acquired COVID-19 cases in patients, but reduces infection in HCWs by as much as 37% and results in only a small proportion of staff absences (approx. 0.3% per day). This is considerably less than the 20-25% of staff that have been reported to be absent from work owing to suspected COVID-19 and self-isolation. Model-based evaluations of interventions, informed by data collected so far, can help to inform policy as the pandemic progresses and help prevent transmission in the vulnerable hospital population. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'.

Indexed as

HospitalsCOVID-19Health PersonnelHumansInfection ControlPandemicsSARS-CoV-2coronavirusmathematical modelnosocomial transmissionSARS-CoV-2

Identifiers

PMID34053255
PMCPMC8165586

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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.