Yidan Xue, Wassim Jabi, Thomas E. Woolley, Katerina Kaouri
{"title":"VIRIS:结合建筑设计和人员流动模拟室内空气传播","authors":"Yidan Xue, Wassim Jabi, Thomas E. Woolley, Katerina Kaouri","doi":"arxiv-2408.11772","DOIUrl":null,"url":null,"abstract":"A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly\nassess and compare mitigations for airborne disease spread. This agent-based\nsimulator combines people movement in an indoor space, viral transmission\nmodelling and detailed architectural design, and it is powered by topologicpy,\nan open-source Python library. VIRIS generates very fast predictions of the\nviral concentration and the spatiotemporal infection risk for individuals as\nthey move through a given space. The simulator is validated with data from a\ncourtroom superspreader event. A sensitivity study for unknown parameter values\nis also performed. We compare several non-pharmaceutical interventions (NPIs)\nissued in UK government guidance, for two indoor settings: a care home and a\nsupermarket. Additionally, we have developed the user-friendly VIRIS web app\nthat allows quick exploration of diverse scenarios of interest and\nvisualisation, allowing policymakers, architects and space managers to easily\ndesign or assess infection risk in an indoor space.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VIRIS: Simulating indoor airborne transmission combining architectural design and people movement\",\"authors\":\"Yidan Xue, Wassim Jabi, Thomas E. Woolley, Katerina Kaouri\",\"doi\":\"arxiv-2408.11772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly\\nassess and compare mitigations for airborne disease spread. This agent-based\\nsimulator combines people movement in an indoor space, viral transmission\\nmodelling and detailed architectural design, and it is powered by topologicpy,\\nan open-source Python library. VIRIS generates very fast predictions of the\\nviral concentration and the spatiotemporal infection risk for individuals as\\nthey move through a given space. The simulator is validated with data from a\\ncourtroom superspreader event. A sensitivity study for unknown parameter values\\nis also performed. We compare several non-pharmaceutical interventions (NPIs)\\nissued in UK government guidance, for two indoor settings: a care home and a\\nsupermarket. Additionally, we have developed the user-friendly VIRIS web app\\nthat allows quick exploration of diverse scenarios of interest and\\nvisualisation, allowing policymakers, architects and space managers to easily\\ndesign or assess infection risk in an indoor space.\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.11772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.11772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VIRIS: Simulating indoor airborne transmission combining architectural design and people movement
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.