SrasV1, Main, Exploration, bibRecord, 002363

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

Identifieur interne : 002363 ( Main/Exploration ); précédent : 002362; suivant : 002364

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

Auteurs : Taesub Lim [Corée du Sud] ; Jinkyun Cho [Corée du Sud] ; BYUNGSEON SEAN KIM [Corée du Sud]

Source :

Building and environment [ 0360-1323 ] ; 2011.

RBID : Pascal:12-0139299

Descripteurs français

Pascal (Inist)
- Hôpital, Modèle prévision, Transmission, Virus, Climat intérieur, Construction élevée, Modélisation, Ecoulement air, Réseau air, Epidémie, Ventilation, Mesure in situ, Distribution pression, Modèle mathématique, Etude comparative, Effet cheminée.

English descriptors

KwdEn :
- Air flow, Air network, Comparative study, Epidemic, Forecast model, High rise building, Hospital, Indoor climate, Mathematical model, Measurement in situ, Modeling, Pressure distribution, Stack effect, Transmission, Ventilation, Virus.

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.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115776

Affiliations:

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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Predictions and measurements of the stack effect on indoor airborne virus transmission in a high-rise hospital building

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

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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