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Article: Local exhaust ventilation for infection control in hospitals

TitleLocal exhaust ventilation for infection control in hospitals
Authors
KeywordsBioaerosols
Computational Fluid
Droplets
Dynaimcs (CFD)
Local Exhaust Ventilation
Issue Date2005
PublisherHong Kong Institution of Engineers. The Journal's web site is located at http://www.hkie.org.hk/html/publications/transactions/index.asp
Citation
Transactions Hong Kong Institution Of Engineers, 2005, v. 12 n. 1, p. 27-32 How to Cite?
AbstractHealth care workers (HCWs) treating infectious patients, such as Severe Acute Respiratory Syndrome (SARS) patients, are at high risk of nosocomial infection. The concern is particularly serious during the bioaerosol-induced procedures, in which droplets and bioaerosols emitted by an infectious patient may enter the respiratory system of the HCW in dose contact with the patient. These medical procedures include endotracheal intubation, bronchoscopy, ambu bagging, among others. Infection control professionals have identified local exhaust ventilation (LEV) as a promising solution to remove the contagious pollutants for protection against nosocomial transmission of diseases. In this study, computation fluid dynamics (CFD) models were developed to simulate the transport of droplets and bioaerosols for design optimisation of a LEV system, taking into account the important particle deposition and turbulence effects. A LEV prototype was built and tested. The details of the computational analysis and empirical results are presented in this paper.
Persistent Identifierhttp://hdl.handle.net/10722/76217
ISSN
2015 SCImago Journal Rankings: 0.145
References

 

DC FieldValueLanguage
dc.contributor.authorLeung, MKHen_HK
dc.contributor.authorChau, OKYen_HK
dc.contributor.authorChun, Len_HK
dc.date.accessioned2010-09-06T07:18:46Z-
dc.date.available2010-09-06T07:18:46Z-
dc.date.issued2005en_HK
dc.identifier.citationTransactions Hong Kong Institution Of Engineers, 2005, v. 12 n. 1, p. 27-32en_HK
dc.identifier.issn1023-697Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/76217-
dc.description.abstractHealth care workers (HCWs) treating infectious patients, such as Severe Acute Respiratory Syndrome (SARS) patients, are at high risk of nosocomial infection. The concern is particularly serious during the bioaerosol-induced procedures, in which droplets and bioaerosols emitted by an infectious patient may enter the respiratory system of the HCW in dose contact with the patient. These medical procedures include endotracheal intubation, bronchoscopy, ambu bagging, among others. Infection control professionals have identified local exhaust ventilation (LEV) as a promising solution to remove the contagious pollutants for protection against nosocomial transmission of diseases. In this study, computation fluid dynamics (CFD) models were developed to simulate the transport of droplets and bioaerosols for design optimisation of a LEV system, taking into account the important particle deposition and turbulence effects. A LEV prototype was built and tested. The details of the computational analysis and empirical results are presented in this paper.en_HK
dc.languageengen_HK
dc.publisherHong Kong Institution of Engineers. The Journal's web site is located at http://www.hkie.org.hk/html/publications/transactions/index.aspen_HK
dc.relation.ispartofTransactions Hong Kong Institution of Engineersen_HK
dc.subjectBioaerosolsen_HK
dc.subjectComputational Fluiden_HK
dc.subjectDropletsen_HK
dc.subjectDynaimcs (CFD)en_HK
dc.subjectLocal Exhaust Ventilationen_HK
dc.titleLocal exhaust ventilation for infection control in hospitalsen_HK
dc.typeArticleen_HK
dc.identifier.emailLeung, MKH:en_HK
dc.identifier.authorityLeung, MKH=rp00148en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-17444426715en_HK
dc.identifier.hkuros100085en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-17444426715&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume12en_HK
dc.identifier.issue1en_HK
dc.identifier.spage27en_HK
dc.identifier.epage32en_HK
dc.publisher.placeHong Kongen_HK
dc.identifier.scopusauthoridLeung, MKH=8862966600en_HK
dc.identifier.scopusauthoridChau, OKY=8390575700en_HK
dc.identifier.scopusauthoridChun, L=36957970900en_HK

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