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

Abstract 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.

[1]  Helmut E. Feustel COMIS—an international multizone air-flow and contaminant transport model , 1999 .

[2]  A. Streifel,et al.  An Evaluation of Hospital Special-Ventilation-Room Pressures , 2001, Infection Control & Hospital Epidemiology.

[3]  Myoung-Souk Yeo,et al.  Characteristics of pressure distribution and solution to the problems caused by stack effect in high-rise residential buildings , 2007 .

[4]  S. Kato,et al.  CFD analysis on characteristics of contaminated indoor air ventilation and its application in the evaluation of the effects of contaminant inhalation by a human occupant , 2002 .

[5]  Jinkyun Cho,et al.  The predictions of infection risk of indoor airborne transmission of diseases in high-rise hospitals: Tracer gas simulation , 2010 .

[6]  F R Haselton,et al.  Convective exchange between the nose and the atmosphere. , 1988, Journal of applied physiology.

[7]  P. Heiselberg,et al.  The airborne transmission of infection between flats in high-rise residential buildings: Tracer gas simulation , 2007, Building and Environment.

[8]  Tze Wai Wong,et al.  Temporal-Spatial Analysis of Severe Acute Respiratory Syndrome among Hospital Inpatients , 2005, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[9]  Peter V. Nielsen,et al.  Dispersion of exhalation pollutants in a two-bed hospital ward with a downward ventilation system , 2008 .

[10]  J Niu,et al.  On-site quantification of re-entry ratio of ventilation exhausts in multi-family residential buildings and implications. , 2007, Indoor air.

[11]  G Murphy,et al.  Airborne spread of measles in a suburban elementary school. , 1978, American journal of epidemiology.

[12]  Refrigerating ASHRAE handbook of fundamentals , 1967 .

[13]  Shih-Ming Tsao,et al.  The Influence of Air Motion on Bacteria Removal in Negative Pressure Isolation Rooms , 2005 .

[14]  新 雅夫,et al.  ASHRAE(American Society of Heating,Refrigerating and Air-Conditioning Engineers)大会"国際年"行事に参加して , 1975 .

[15]  P V Nielsen,et al.  Dispersal of exhaled air and personal exposure in displacement ventilated rooms. , 2002, Indoor air.

[16]  Vice President,et al.  AMERICAN SOCIETY OF HEATING, REFRIGERATION AND AIR CONDITIONING ENGINEERS INC. , 2007 .

[17]  George T. Tamura,et al.  Smoke movement and control in high-rise buildings , 1994 .

[18]  Tu Guangbei,et al.  Study on biological contaminant control strategies under different ventilation models in hospital operating room , 2008 .

[19]  J. E. Lovatt,et al.  Stack effect in tall buildings , 1994 .

[20]  Y. Li,et al.  Multi-zone modeling of probable SARS virus transmission by airflow between flats in Block E, Amoy Gardens. , 2005, Indoor air.

[21]  B. Kim,et al.  The Influence of Ward Ventilation on Hospital Cross Infection by Varying the Location of Supply and Exhaust Air Diffuser Using CFD , 2010 .