Evidence map›Paper›PMID 34697087›Full record

ArticleBMJ global health2021

Modelling the effect of infection prevention and control measures on rate of

Nicky McCreesh, Aaron S Karat, Kathy Baisley, Karin Diaconu, Fiammetta Bozzani, Indira Govender, Peter Beckwith, Tom A Yates, Arminder K Deol, Rein M G J Houben and 3 more

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  6. Infection prevention and control measures during the COVID-19 pandemic and airborne tuberculosis transmission during primary care visits in South Africa.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
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  17. Implementation Status of Airborne Infection Control Measures in Primary and Secondary Public Health Facilities, Puducherry: A Mixed-Methods Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

13 authors.

Nicky McCreeshTB Centre, London School of Hygiene and Tropical Medicine, London, UK nicky.mccreesh@lshtm.ac.uk.ORCID 0000-0003-1409-8531
Aaron S KaratTB Centre, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-9643-664X
Kathy BaisleyTB Centre, London School of Hygiene and Tropical Medicine, London, UK.
Karin DiaconuInstitute for Global Health & Development, Queen Margaret University Edinburgh, Musselburgh, UK.
Fiammetta BozzaniTB Centre, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-9518-6885
Indira GovenderTB Centre, London School of Hygiene and Tropical Medicine, London, UK.
Peter BeckwithDepartment of Medicine, University of Cape Town, Rondebosch, South Africa.
Tom A YatesDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Arminder K DeolTB Centre, London School of Hygiene and Tropical Medicine, London, UK.
Rein M G J HoubenTB Centre, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-4132-7467
Karina KielmannInstitute for Global Health & Development, Queen Margaret University Edinburgh, Musselburgh, UK.ORCID 0000-0001-5519-1658
Richard G WhiteTB Centre, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-4410-6635
Alison D GrantTB Centre, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Defining drivers of TB transmission in the era of universal ART, and implications for finding the walking wellR01AI147321 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI GRANT, ALISON · 2019 to 2024
$2.3M
Medical Research Council MR/N014693/1Medical Research Council MR/P002404/1Medical Research Council MR/R010161/1NIAID NIH HHS R01 AI147321Wellcome TrustWellcome Trust 218261/Z/19/Z
6 · The paper itself

Abstract

backgroundElevated rates of tuberculosis in healthcare workers demonstrate the high rate of

methodsAn individual-based model of patient movements through clinics, ventilation in waiting areas, and

resultsIn the model, (1) outdoor waiting areas reduced the transmission to clinic attendees by 83% (IQR 76%-88%), (2) UVGI by 77% (IQR 64%-85%), (3) appointment systems by 62% (IQR 45%-75%), (4) opening windows and doors by 55% (IQR 25%-72%), (5) masks by 47% (IQR 42%-50%), (6) clinic retrofits by 45% (IQR 16%-64%) and (7) increasing the coverage of CCMDD by 22% (IQR 12%-32%).

conclusionsThe majority of the interventions achieved median reductions in the rate of transmission to clinic attendees of at least 45%, meaning that a range of highly effective intervention options are available, that can be tailored to the local context. Measures that are not traditionally considered to be IPC interventions, such as appointment systems, may be as effective as more traditional IPC measures, such as mask wearing.

Indexed as

Mycobacterium tuberculosisTuberculosisHealth PersonnelHumansInfection ControlSouth Africahealth systemsmathematical modellingtuberculosis

Identifiers

PMID34697087
PMCPMC8547367

What OpenQuestion holds

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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.