Modelling indoor airborne transmission combining architectural design and people movement using the VIRIS simulator and web app.

Yidan Xue, Wassim Jabi, Thomas E Woolley, Katerina Kaouri

Abstract read

In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yidan XueSchool of Mathematics, Cardiff University, Cardiff, CF24 4AG, UK.ORCID 0000-0001-9532-8671

Wassim JabiWelsh School of Architecture, Cardiff University, Cardiff, CF10 3NB, UK.ORCID 0000-0002-2594-9568

Thomas E WoolleySchool of Mathematics, Cardiff University, Cardiff, CF24 4AG, UK.ORCID 0000-0001-6225-5365

Katerina KaouriSchool of Mathematics, Cardiff University, Cardiff, CF24 4AG, UK. KaouriK@cardiff.ac.uk.ORCID 0000-0002-9850-253X

Funding

Engineering and Physical Sciences Research Council EP/X525522/1

6 · The paper itself

Abstract

A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly assess and compare mitigations for airborne disease spread. This agent-based simulator combines people movement in an indoor space, viral transmission modelling and detailed architectural design, and it is powered by topologicpy, an open-source Python library. VIRIS generates very fast predictions of the viral concentration and the spatiotemporal infection risk for individuals as they move through a given space. The simulator is validated with data from a courtroom superspreader event. A sensitivity study for unknown parameter values is also performed. We compare several non-pharmaceutical interventions (NPIs) issued in UK government guidance, for two indoor settings: a care home and a supermarket. Additionally, we have developed the user-friendly VIRIS web app that allows quick exploration of diverse scenarios of interest and visualisation, allowing policymakers, architects and space managers to easily design or assess infection risk in an indoor space.

Indexed as

Computer SimulationCOVID-19Air MicrobiologyAir Pollution, IndoorHumansMobile ApplicationsSARS-CoV-2Agent-based modellingAirborne transmissionArchitectural designInterventions

Identifiers

PMID39548276

DOI10.1038/s41598-024-79525-6

PMCPMC11568127

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.