Evidence map›Paper›PMID 34693567›Full record

ArticleIndoor air2022

Modeling fomite-mediated SARS-CoV-2 exposure through personal protective equipment doffing in a hospital environment.

Marco-Felipe King, Amanda M Wilson, Mark H Weir, Martín López-García, Jessica Proctor, Waseem Hiwar, Amirul Khan, Louise A Fletcher, P Andrew Sleigh, Ian Clifton and 4 more

Abstract read
In one paragraph

Article in Indoor air, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. The Wells-Riley Model Revisited II: Parameter Uncertainty and Population Heterogeneity.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  2. Observational
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  12. Interventions to prevent surface transmission of an infectious virus based on real human touch behavior: a case study of the norovirus.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  13. Article
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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

14 authors.

Marco-Felipe KingSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-7010-476X
Amanda M WilsonDepartment of Community, Environment, and Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA.ORCID https://orcid.org/0000-0003-3259-8169
Mark H WeirDivision of Environmental Health Sciences, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-6995-1037
Martín López-GarcíaSchool of Mathematics, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-3833-8595
Jessica ProctorSchool of Civil Engineering, University of Leeds, Leeds, UK.
Waseem HiwarSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-3742-3456
Amirul KhanSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-7521-5458
Louise A FletcherSchool of Civil Engineering, University of Leeds, Leeds, UK.
P Andrew SleighSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-9218-5660
Ian CliftonDepartment of Respiratory Medicine, St. James's Hospital, University of Leeds, Leeds, UK.
Stephanie J DancerSchool of Applied Sciences, Edinburgh Napier University, Edinburgh, UK.ORCID https://orcid.org/0000-0002-8777-2614
Mark WilcoxHealthcare Associated Infections Research Group, Leeds Teaching Hospitals NHS Trust and University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-4565-2868
Kelly A ReynoldsDepartment of Community, Environment, and Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA.ORCID https://orcid.org/0000-0003-4682-8359
Catherine J NoakesSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-3084-7467

Funding

Engineering and Physical Sciences Research CouncilEPSRC Centre for Doctoral Training in FluidMedical Research Council MR/N014855/1
6 · The paper itself

Abstract

Self-contamination during doffing of personal protective equipment (PPE) is a concern for healthcare workers (HCW) following SARS-CoV-2-positive patient care. Staff may subconsciously become contaminated through improper glove removal; so, quantifying this exposure is critical for safe working procedures. HCW surface contact sequences on a respiratory ward were modeled using a discrete-time Markov chain for: IV-drip care, blood pressure monitoring, and doctors' rounds. Accretion of viral RNA on gloves during care was modeled using a stochastic recurrence relation. In the simulation, the HCW then doffed PPE and contaminated themselves in a fraction of cases based on increasing caseload. A parametric study was conducted to analyze the effect of: (1a) increasing patient numbers on the ward, (1b) the proportion of COVID-19 cases, (2) the length of a shift, and (3) the probability of touching contaminated PPE. The driving factors for the exposure were surface contamination and the number of surface contacts. The results simulate generally low viral exposures in most of the scenarios considered including on 100% COVID-19 positive wards, although this is where the highest self-inoculated dose is likely to occur with median 0.0305 viruses (95% CI =0-0.6 viruses). Dose correlates highly with surface contamination showing that this can be a determining factor for the exposure. The infection risk resulting from the exposure is challenging to estimate, as it will be influenced by the factors such as virus variant and vaccination rates.

Indexed as

Air Pollution, IndoorCOVID-19FomitesOccupational ExposurePersonal Protective EquipmentGloves, ProtectiveHospitalsHumansSARS-CoV-2COVID-19hospital infection modelPPEquantitative microbial risk assessmentSARS CoV-2surface-contact transmission

Identifiers

PMID34693567
PMCPMC8653260

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.