Numerical prediction of Infection Process by Coupled CFD and SIR model in Indoor Space

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The airborne transmission of various bio-aerosols in indoor environment becomes a serious social issue and the development of a prediction method for these transmission routes indoors is needed with regard to the design of healthy and safety indoor air environments. In this paper, first, we introduce the structure of fundamental epidemiological models; SIR model and the Wells-Riley model, and we also indicate the analytical procedure of coupled analysis with CFD-based prediction of flow filed/contaminant distribution and SIR type epidemiological model which consists of three differential equations coupling the change in the population of Susceptibles (S), the population of Infectors (I) and the population of Recovery to an immune state (R), to predict infection processes of residents in indoor spaces.

Original languageEnglish
Title of host publication12th International Conference on Indoor Air Quality and Climate 2011
Pages617-622
Number of pages6
Publication statusPublished - Dec 1 2011
Event12th International Conference on Indoor Air Quality and Climate 2011 - Austin, TX, United States
Duration: Jun 5 2011Jun 10 2011

Publication series

Name12th International Conference on Indoor Air Quality and Climate 2011
Volume1

Other

Other12th International Conference on Indoor Air Quality and Climate 2011
CountryUnited States
CityAustin, TX
Period6/5/116/10/11

All Science Journal Classification (ASJC) codes

  • Pollution

Fingerprint Dive into the research topics of 'Numerical prediction of Infection Process by Coupled CFD and SIR model in Indoor Space'. Together they form a unique fingerprint.

Cite this