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Article: Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients
Title | Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients |
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Authors | |
Issue Date | 2005 |
Publisher | Oxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/cid/ |
Citation | Clinical Infectious Diseases, 2005, v. 40 n. 9, p. 1237-1243 How to Cite? |
Abstract | Background. We report the temporal-spatial spread of severe acute respiratory syndrome (SARS) among inpatients in a hospital ward during a major nosocomial outbreak and discuss possible mechanisms for the outbreak. Methods. All inpatients who had stayed in the same ward as the initial index case patient for any duration before isolation were recruited into a cohort and followed up to document the occurrence of SARS. The normalized concentration of virus-laden aerosols at different locations of the ward was estimated by use of computational fluid dynamics modeling. The attack rates in the various subgroups stratified by bed location were calculated. Multivariate Cox proportional hazards regression was used to document important risk factors. Results. The overall attack rate of SARS was 41% (30 of 74 subjects). It was 65%, 52%, and 18% in the same bay, adjacent bay, and distant bays, respectively (P = .001). Computation fluid dynamics modeling indicated that the normalized concentration of virus-laden aerosols was highest in the same bay and lowest in the distant bays. Cox regression indicated that staying in the ward on 6 or 10 March entailed higher risk, as well as staying in the same or adjacent bays. The epidemic curve showed 2 peaks, and stratified analyses by bed location suggested >1 generation of spread. Conclusions. The temporal-spatial spread of SARS in the ward was consistent with airborne transmission, as modeled by use of computational fluid dynamics. Infected health care workers likely acted as secondary sources in the latter phase of the outbreak. © 2005 by the Infectious Diseases Society of America. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/43007 |
ISSN | 2023 Impact Factor: 8.2 2023 SCImago Journal Rankings: 3.308 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, ITS | en_HK |
dc.contributor.author | Tze, WW | en_HK |
dc.contributor.author | Yuk, LC | en_HK |
dc.contributor.author | Lee, N | en_HK |
dc.contributor.author | Li, Y | en_HK |
dc.date.accessioned | 2007-03-23T04:36:46Z | - |
dc.date.available | 2007-03-23T04:36:46Z | - |
dc.date.issued | 2005 | en_HK |
dc.identifier.citation | Clinical Infectious Diseases, 2005, v. 40 n. 9, p. 1237-1243 | en_HK |
dc.identifier.issn | 1058-4838 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/43007 | - |
dc.description.abstract | Background. We report the temporal-spatial spread of severe acute respiratory syndrome (SARS) among inpatients in a hospital ward during a major nosocomial outbreak and discuss possible mechanisms for the outbreak. Methods. All inpatients who had stayed in the same ward as the initial index case patient for any duration before isolation were recruited into a cohort and followed up to document the occurrence of SARS. The normalized concentration of virus-laden aerosols at different locations of the ward was estimated by use of computational fluid dynamics modeling. The attack rates in the various subgroups stratified by bed location were calculated. Multivariate Cox proportional hazards regression was used to document important risk factors. Results. The overall attack rate of SARS was 41% (30 of 74 subjects). It was 65%, 52%, and 18% in the same bay, adjacent bay, and distant bays, respectively (P = .001). Computation fluid dynamics modeling indicated that the normalized concentration of virus-laden aerosols was highest in the same bay and lowest in the distant bays. Cox regression indicated that staying in the ward on 6 or 10 March entailed higher risk, as well as staying in the same or adjacent bays. The epidemic curve showed 2 peaks, and stratified analyses by bed location suggested >1 generation of spread. Conclusions. The temporal-spatial spread of SARS in the ward was consistent with airborne transmission, as modeled by use of computational fluid dynamics. Infected health care workers likely acted as secondary sources in the latter phase of the outbreak. © 2005 by the Infectious Diseases Society of America. All rights reserved. | en_HK |
dc.format.extent | 401370 bytes | - |
dc.format.extent | 15017 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.language | eng | en_HK |
dc.publisher | Oxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/cid/ | en_HK |
dc.relation.ispartof | Clinical Infectious Diseases | en_HK |
dc.rights | Clinical Infectious Diseases. Copyright © University of Chicago Press. | en_HK |
dc.subject.mesh | Cohort studies | en_HK |
dc.subject.mesh | Hospital design and construction | en_HK |
dc.subject.mesh | Proportional hazards models | en_HK |
dc.subject.mesh | Retrospective studies | en_HK |
dc.subject.mesh | Severe acute respiratory syndrome | en_HK |
dc.title | Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1058-4838&volume=40&issue=9&spage=1237&epage=1243&date=2005&atitle=Temporal-spatial+analysis+of+severe+acute+respiratory+syndrome+among+hospital+inpatients | en_HK |
dc.identifier.email | Li, Y:liyg@hkucc.hku.hk | en_HK |
dc.identifier.authority | Li, Y=rp00151 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1086/428735 | en_HK |
dc.identifier.pmid | 15825024 | - |
dc.identifier.scopus | eid_2-s2.0-17644397589 | en_HK |
dc.identifier.hkuros | 101409 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-17644397589&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 40 | en_HK |
dc.identifier.issue | 9 | en_HK |
dc.identifier.spage | 1237 | en_HK |
dc.identifier.epage | 1243 | en_HK |
dc.identifier.isi | WOS:000228145600005 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.f1000 | 1025280 | - |
dc.identifier.scopusauthorid | Yu, ITS=7102120508 | en_HK |
dc.identifier.scopusauthorid | Tze, WW=8333472800 | en_HK |
dc.identifier.scopusauthorid | Yuk, LC=8333472900 | en_HK |
dc.identifier.scopusauthorid | Lee, N=7402722286 | en_HK |
dc.identifier.scopusauthorid | Li, Y=7502094052 | en_HK |
dc.identifier.issnl | 1058-4838 | - |