Evidence map›Paper›PMID 35365070›Full record

ArticleBMC infectious diseases2022

Impact of non-pharmaceutical interventions on SARS-CoV-2 outbreaks in English care homes: a modelling study.

Alicia Rosello, Rosanna C Barnard, David R M Smith, Stephanie Evans, Fiona Grimm, Nicholas G Davies, Centre for Mathematical Modelling of Infectious Diseases COVID-19 Modelling Working Group, Sarah R Deeny, Gwenan M Knight, W John Edmunds

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
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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

10 authors at 4 institutions in 2 countries.

Alicia RoselloDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. alicia.rosello@phe.gov.uk.ORCID http://orcid.org/0000-0002-0737-5679
Rosanna C BarnardDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
David R M SmithEpidemiology and Modelling of Antibiotic Evasion (EMAE), Institut Pasteur, Paris, France.
Stephanie EvansHealthcare Associated Infection and Antimicrobial Resistance Department, Public Health England, London, England.
Fiona GrimmThe Health Foundation, London, UK.
Nicholas G DaviesDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Centre for Mathematical Modelling of Infectious Diseases COVID-19 Modelling Working Group
Sarah R DeenyThe Health Foundation, London, UK.
Gwenan M KnightDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
W John EdmundsDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
University of London · GBHealth Foundation · GBConservatoire National des Arts et Métiers · FRPublic Health England · GB

Funding

CRCNS: Deep Neural Network Approaches for Closed-Loop Deep Brain StimulationR01NS110424 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RICHARDSON, ROBERT MARK, TURNER, ROBERT STERLING · 2018 to 2020
$673k
CIHR 164263Medical Research Council MC_PC_19065Medical Research Council MR/P014658/1Medical Research Council MR/S003975/1Medical Research Council MR/V027956/1NINDS NIH HHS R01 NS110424Wellcome Trust
6 · The paper itself

Abstract

backgroundCOVID-19 outbreaks still occur in English care homes despite the interventions in place.

methodsWe developed a stochastic compartmental model to simulate the spread of SARS-CoV-2 within an English care home. We quantified the outbreak risk with baseline non-pharmaceutical interventions (NPIs) already in place, the role of community prevalence in driving outbreaks, and the relative contribution of all importation routes into a fully susceptible care home. We also considered the potential impact of additional control measures in care homes with and without immunity, namely: increasing staff and resident testing frequency, using lateral flow antigen testing (LFD) tests instead of polymerase chain reaction (PCR), enhancing infection prevention and control (IPC), increasing the proportion of residents isolated, shortening the delay to isolation, improving the effectiveness of isolation, restricting visitors and limiting staff to working in one care home. We additionally present a Shiny application for users to apply this model to their facility of interest, specifying care home, outbreak and intervention characteristics.

resultsThe model suggests that importation of SARS-CoV-2 by staff, from the community, is the main driver of outbreaks, that importation by visitors or from hospitals is rare, and that the past testing strategy (monthly testing of residents and daily testing of staff by PCR) likely provides negligible benefit in preventing outbreaks. Daily staff testing by LFD was 39% (95% 18-55%) effective in preventing outbreaks at 30 days compared to no testing.

conclusionsIncreasing the frequency of testing in staff and enhancing IPC are important to preventing importations to the care home. Further work is needed to understand the impact of vaccination in this population, which is likely to be very effective in preventing outbreaks.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksHumansInfection ControlVaccinationCare homeCOVID-19Long-term care facilityMathematical modelNon-pharmaceutical interventionsPCRSARS-CoV-2Testing

Identifiers

PMID35365070
PMCPMC8972713
OpenAlexW4225870661

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.