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Dataset Information

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


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,

SUBMITTER: Xue Y 

PROVIDER: S-EPMC11568127 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature