VIRIS: Simulating indoor airborne transmission combining architectural design and people movement

Yidan Xue, Wassim Jabi, Thomas E. Woolley, Katerina Kaouri
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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.
VIRIS:结合建筑设计和人员流动模拟室内空气传播
我们开发了病毒感染风险室内模拟器(VIRIS),用于快速评估和比较空气传播疾病的缓解措施。这个基于代理的模拟器结合了室内空间的人员流动、病毒传播模拟和详细的建筑设计,由开源 Python 库 topologicpy 提供支持。VIRIS 可快速预测病毒浓度和个人在特定空间移动时的时空感染风险。该模拟器通过一次室内超级传播者事件的数据进行了验证。此外,还对未知参数值进行了敏感性研究。我们对英国政府指南中发布的几种非药物干预措施(NPIs)进行了比较,分别适用于两种室内环境:护理院和超市。此外,我们还开发了用户友好型 VIRIS 网络应用程序,可快速探索各种相关情景并进行可视化,使政策制定者、建筑师和空间管理者能够轻松设计或评估室内空间的感染风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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