Predictions and measurements of the stack effect on indoor airborne virus transmission in a high-rise hospital building

• Published in: Building and environment 2011-12, Vol.46 (12), p.2413-2424
• Main Authors: Lim, Taesub, Cho, Jinkyun, Kim, Byungseon Sean
• Format: Article
• Language: English
• Subjects: Airborne virus transmission; Airflow; Applied sciences; Building technical equipments; Buildings; Buildings. Public works; Computation methods. Tables. Charts; Contaminants; Environmental engineering; Exact sciences and technology; Health and community facilities; High-rise hospital; Hospitals; Indoor; Influenza; Network airflow model; Patients; Pollution indoor buildings; SARS coronavirus; Stack effect; Stacks; Structural analysis. Stresses; Types of buildings; Ventilation. Air conditioning; Viruses
• ISSN: 0360-1323; 1873-684X
• DOI: 10.1016/j.buildenv.2011.04.015

As the viral diseases such as Severe Acute Respiratory Syndrome (SARS) and Influenza A (H1N1) occur in many countries recently, the epidemic of those influenza viruses causes many human casualties. Moreover, the second infection from infected patients particularly within general hospitals frequently takes places due to improperly hospitalized and/or quarantined patients. Accordingly, it becomes a great concern to accommodate safer ventilation system in general hospital wards against such airborne transmitted viruses. It is also a recent trend that many urban general hospitals are designed and constructed as high-rises. If a virus is transmitted through uncontrolled air movement within a hospital and then infected other patients or healthy visitors, it might be impossible to control the spread of the disease. Thus research has been preceded scrutinizing stack effect on the indoor airborne virus transmission in large hospitals by conducting both the field measurement and numerical analysis according to the outdoor temperature and the releasing vertical points of the tracer gas assumed as a viral contaminant. In the field measurement of a high-rise hospital, the indoor airflow was affected by the stack effect of vertical chute of the building. The numerical simulation was verified by comparing its prediction results and the field measurement data. In result, very high possibility has witnessed that the airborne contaminant emitted from the infected patients in the lower floors could be transported to the higher floors through the airflow driven by the stack effect.