Evidence map›Paper›PMID 33501885›Full record

ArticleJournal of the Royal Society, Interface2021

The benefits of peer transparency in safe workplace operation post pandemic lockdown.

Arkady Wey, Alan Champneys, Rosemary J Dyson, Nisreen A Alwan, Mary Barker

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

5 authors at 4 institutions in 1 country.

Arkady WeyIndustrially Focused Mathematical Modelling (InFoMM) EPSRC Centre for Doctoral Training, Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK.
Alan ChampneysDepartment of Engineering Mathematics, University of Bristol, Bristol BS8 1TR, UK.
Rosemary J DysonSchool of Mathematics, University of Birmingham, Birmingham B15 2TT, UK.
Nisreen A AlwanSchool of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton SO16 6YD, UK.
Mary BarkerNIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
University Hospital Southampton NHS Foundation Trust · GBEngineering and Physical Sciences Research Council · GBUniversity of Birmingham · GBUniversity of Bristol · GB

Funding

Department of Health RP-PG-0216-20004Medical Research Council MC_UU_12011/4Medical Research Council MR/N011848/1
6 · The paper itself

Abstract

The benefits of different levels of engagement with test, trace and isolate procedures are investigated for a pandemic in which there is little population immunity, in terms of productivity and public health. Simple mathematical modelling is used in the context of a single, relatively closed workplace such as a factory or back-office where, in normal operation, each worker has lengthy interactions with a fixed set of colleagues. A discrete-time SEIR model on a fixed interaction graph is simulated with parameters that are motivated by the recent COVID-19 pandemic in the UK during a post-peak phase, including a small risk of viral infection from outside the working environment. Two kinds of worker are assumed,

Indexed as

Communicable Disease ControlModels, TheoreticalPandemicsPublic HealthSARS-CoV-2WorkplaceCOVID-19HumansCOVID-19mutualismworkplace

Identifiers

PMID33501885
PMCPMC7879750
OpenAlexW3042120091

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.