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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Predictions and measurements of the stack effect on indoor airborne virus transmission in a high-rise hospital building
Creator	Cho, Jinkyun Lim, Taesub Kim, Byungseon
Source	Elsevier; Medline; PMC
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.
has issue date	2011-04-21(xsd:dateTime)
bibo:doi	10.1016/j.buildenv.2011.04.015
bibo:pmid	32288013
has license	no-cc
sha1sum (hex)	f8640c30a96939181b74e35809d7c7985db0f89c
schema:url	https://doi.org/10.1016/j.buildenv.2011.04.015
resource representing a document's title	Predictions and measurements of the stack effect on indoor airborne virus transmission in a high-rise hospital building
has PubMed Central identifier	PMC7115776
has PubMed identifier	32288013
schema:publication	Build Environ
resource representing a document's body	covid:f8640c30a96939181b74e35809d7c7985db0f89c#body_text
is schema:about of	named entity 'RISE' named entity 'VIRUS' named entity 'chute' named entity 'measurement' named entity 'measurement' named entity 'driven' named entity 'infected' named entity 'prediction' named entity 'frequently' named entity 'transmitted' named entity 'emitted' named entity 'infection' named entity 'transmission' named entity 'MEASUREMENT' named entity 'CONSTRUCTED' named entity 'DUE TO' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME' named entity 'OCCUR' named entity 'CHUTE' named entity 'RECENT' named entity 'CONTAMINANT' named entity 'VIRUSES' named entity 'VERTICAL' named entity 'INDOOR' named entity 'PRECEDED' named entity 'MEASUREMENT DATA' named entity 'AIRFLOW' named entity 'IMPOSSIBLE' named entity 'SECOND' named entity 'OUTDOOR' named entity 'INFECTED' named entity 'LARGE' named entity 'HIGH' named entity 'PREDICTIONS' named entity 'ACCORDING' named entity 'STACK EFFECT' named entity 'VENTILATION SYSTEM' named entity 'PREDICTION' named entity 'RELEASING' named entity 'VIRAL' named entity 'THE STACK' named entity 'TRANSMISSION' named entity 'MEASUREMENTS' named entity 'AIRBORNE' named entity 'STACK EFFECT' named entity 'INDOOR' named entity 'HUMAN' named entity 'AIR MOVEMENT' named entity 'RECENTLY' named entity 'MIGHT BE' named entity 'VIRAL DISEASES' named entity 'HOSPITAL' named entity 'CONDUCTING' named entity 'TRACER' named entity 'EPIDEMIC' named entity 'LOWER' named entity 'RESEARCH' named entity 'POSSIBILITY' named entity 'COMPARING' named entity 'ITS' named entity 'DRIVEN' named entity 'VIRUS' named entity 'HOSPITAL BUILDING' named entity 'RISE' named entity 'HOSPITALIZED' named entity 'UNCONTROLLED' named entity 'TEMPERATURE' named entity 'AFFECTED' named entity 'VERY HIGH' named entity 'TRANSMISSION' named entity 'WITNESSED' named entity 'HOSPITALS' named entity 'GREAT' named entity 'TREND' named entity 'NUMERICAL SIMULATION' named entity 'GAS' named entity 'PLACES' named entity 'GENERAL HOSPITALS' named entity 'INFECTION'

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