SrasV1, PascalFrancis, Corpus, bibRecord, 000641

Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients

Identifieur interne : 000641 ( PascalFrancis/Corpus ); précédent : 000640; suivant : 000642

Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients

Auteurs : Ignatius T. S. Yu ; TZE WAI WONG ; YUK LAN CHIU ; Nelson Lee ; YUGUO LI

Source :

Clinical infectious diseases [ 1058-4838 ] ; 2005.

RBID : Pascal:05-0330389

Descripteurs français

Pascal (Inist)
- Syndrome respiratoire aigu sévère, Hôpital.

English descriptors

KwdEn :
- Hospital, Severe acute respiratory syndrome.

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 1058-4838`
A02	`01`			`@0 CIDIEL`
A03		`1`		`@0 Clin. infect. dis.`
A05				`@2 40`
A06				`@2 9`
A08	`01`	`1`	`ENG`	`@1 Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients`
A11	`01`	`1`		`@1 YU (Ignatius T. S.)`
A11	`02`	`1`		`@1 TZE WAI WONG`
A11	`03`	`1`		`@1 YUK LAN CHIU`
A11	`04`	`1`		`@1 LEE (Nelson)`
A11	`05`	`1`		`@1 YUGUO LI`
A14	`01`			`@1 Department of Community and Family Medicine, Chinese University of Hong Kong @3 HKG @Z 1 aut. @Z 2 aut. @Z 3 aut.`
A14	`02`			`@1 Department of Medicine and Therapeutics, Prince of Wales Hospital, University of Hong Kong @3 HKG @Z 4 aut.`
A14	`03`			`@1 Department of Mechanical Engineering, University of Hong Kong @3 HKG @Z 5 aut.`
A20				`@1 1237-1243`
A21				`@1 2005`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 18407 @5 354000124691370040`
A44				`@0 0000 @1 © 2005 INIST-CNRS. All rights reserved.`
A45				`@0 17 ref.`
A47	`01`	`1`		`@0 05-0330389`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Clinical infectious diseases`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 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.
C02	`01`	`X`		`@0 002B05C02C`
C03	`01`	`X`	`FRE`	`@0 Syndrome respiratoire aigu sévère @2 NM @5 01`
C03	`01`	`X`	`ENG`	`@0 Severe acute respiratory syndrome @2 NM @5 01`
C03	`01`	`X`	`SPA`	`@0 Síndrome respiratorio agudo severo @2 NM @5 01`
C03	`02`	`X`	`FRE`	`@0 Hôpital @5 07`
C03	`02`	`X`	`ENG`	`@0 Hospital @5 07`
C03	`02`	`X`	`SPA`	`@0 Hospital @5 07`
C07	`01`	`X`	`FRE`	`@0 Virose`
C07	`01`	`X`	`ENG`	`@0 Viral disease`
C07	`01`	`X`	`SPA`	`@0 Virosis`
C07	`02`	`X`	`FRE`	`@0 Infection`
C07	`02`	`X`	`ENG`	`@0 Infection`
C07	`02`	`X`	`SPA`	`@0 Infección`
C07	`03`	`X`	`FRE`	`@0 Appareil respiratoire pathologie @5 37`
C07	`03`	`X`	`ENG`	`@0 Respiratory disease @5 37`
C07	`03`	`X`	`SPA`	`@0 Aparato respiratorio patología @5 37`
C07	`04`	`X`	`FRE`	`@0 Poumon pathologie @5 38`
C07	`04`	`X`	`ENG`	`@0 Lung disease @5 38`
C07	`04`	`X`	`SPA`	`@0 Pulmón patología @5 38`
N21				`@1 234`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 05-0330389 INIST
ET :	Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients
AU :	YU (Ignatius T. S.); TZE WAI WONG; YUK LAN CHIU; LEE (Nelson); YUGUO LI
AF :	Department of Community and Family Medicine, Chinese University of Hong Kong/Hong-Kong (1 aut., 2 aut., 3 aut.); Department of Medicine and Therapeutics, Prince of Wales Hospital, University of Hong Kong/Hong-Kong (4 aut.); Department of Mechanical Engineering, University of Hong Kong/Hong-Kong (5 aut.)
DT :	Publication en série; Niveau analytique
SO :	Clinical infectious diseases; ISSN 1058-4838; Coden CIDIEL; Etats-Unis; Da. 2005; Vol. 40; No. 9; Pp. 1237-1243; Bibl. 17 ref.
LA :	Anglais
EA :	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.
CC :	002B05C02C
FD :	Syndrome respiratoire aigu sévère; Hôpital
FG :	Virose; Infection; Appareil respiratoire pathologie; Poumon pathologie
ED :	Severe acute respiratory syndrome; Hospital
EG :	Viral disease; Infection; Respiratory disease; Lung disease
SD :	Síndrome respiratorio agudo severo; Hospital
LO :	INIST-18407.354000124691370040
ID :	05-0330389

Links to Exploration step

Pascal:05-0330389

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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<server><NO>PASCAL 05-0330389 INIST</NO>
<ET>Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients</ET>
<AU>YU (Ignatius T. S.); TZE WAI WONG; YUK LAN CHIU; LEE (Nelson); YUGUO LI</AU>
<AF>Department of Community and Family Medicine, Chinese University of Hong Kong/Hong-Kong (1 aut., 2 aut., 3 aut.); Department of Medicine and Therapeutics, Prince of Wales Hospital, University of Hong Kong/Hong-Kong (4 aut.); Department of Mechanical Engineering, University of Hong Kong/Hong-Kong (5 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Clinical infectious diseases; ISSN 1058-4838; Coden CIDIEL; Etats-Unis; Da. 2005; Vol. 40; No. 9; Pp. 1237-1243; Bibl. 17 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
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   |étape=   Corpus
   |type=    RBID
   |clé=     Pascal:05-0330389
   |texte=   Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients
}}

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Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients

Temporal-spatial analysis of severe acute respiratory syndrome among hospital inpatients

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