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SARS in Three Categories of Hospital Workers, Hong Kong

We analyzed attack rates for severe acute respiratory syndrome (SARS) in three categories of hospital workers (nurses, nonmedical support staff, and other technical or medical staff) in all public hospitals in Hong Kong that had admitted SARS patients. Of 16 such hospitals, 14 had cases. The overall...

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Autores principales: Lau, Joseph T.F., Yang, Xilin, Leung, Ping-Chung, Chan, Louis, Wong, Eliza, Fong, Carmen, Tsui, Hi-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320402/
https://www.ncbi.nlm.nih.gov/pubmed/15496240
http://dx.doi.org/10.3201/eid1008.040041
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author Lau, Joseph T.F.
Yang, Xilin
Leung, Ping-Chung
Chan, Louis
Wong, Eliza
Fong, Carmen
Tsui, Hi-Yi
author_facet Lau, Joseph T.F.
Yang, Xilin
Leung, Ping-Chung
Chan, Louis
Wong, Eliza
Fong, Carmen
Tsui, Hi-Yi
author_sort Lau, Joseph T.F.
collection PubMed
description We analyzed attack rates for severe acute respiratory syndrome (SARS) in three categories of hospital workers (nurses, nonmedical support staff, and other technical or medical staff) in all public hospitals in Hong Kong that had admitted SARS patients. Of 16 such hospitals, 14 had cases. The overall attack rate was 1.20%. Nonmedical support staff had the highest attack rate (2.73%). The odds ratios of group nonmedical support staff versus those of nurses and of nonmedical support staff versus other technical or medical staff were 2.30 (p < 0.001) and 9.78 (p < 0.001), respectively. The number of affected staff and attack rates were significantly correlated with the number of SARS patients admitted (r = 0.914 and 0.686, respectively). Affected patients were concentrated in three hospitals and in the earlier phase of the epidemic. Cleaning and clerical staff on hospital wards were at a much higher risk.
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spelling pubmed-33204022012-04-20 SARS in Three Categories of Hospital Workers, Hong Kong Lau, Joseph T.F. Yang, Xilin Leung, Ping-Chung Chan, Louis Wong, Eliza Fong, Carmen Tsui, Hi-Yi Emerg Infect Dis Research We analyzed attack rates for severe acute respiratory syndrome (SARS) in three categories of hospital workers (nurses, nonmedical support staff, and other technical or medical staff) in all public hospitals in Hong Kong that had admitted SARS patients. Of 16 such hospitals, 14 had cases. The overall attack rate was 1.20%. Nonmedical support staff had the highest attack rate (2.73%). The odds ratios of group nonmedical support staff versus those of nurses and of nonmedical support staff versus other technical or medical staff were 2.30 (p < 0.001) and 9.78 (p < 0.001), respectively. The number of affected staff and attack rates were significantly correlated with the number of SARS patients admitted (r = 0.914 and 0.686, respectively). Affected patients were concentrated in three hospitals and in the earlier phase of the epidemic. Cleaning and clerical staff on hospital wards were at a much higher risk. Centers for Disease Control and Prevention 2004-08 /pmc/articles/PMC3320402/ /pubmed/15496240 http://dx.doi.org/10.3201/eid1008.040041 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Lau, Joseph T.F.
Yang, Xilin
Leung, Ping-Chung
Chan, Louis
Wong, Eliza
Fong, Carmen
Tsui, Hi-Yi
SARS in Three Categories of Hospital Workers, Hong Kong
title SARS in Three Categories of Hospital Workers, Hong Kong
title_full SARS in Three Categories of Hospital Workers, Hong Kong
title_fullStr SARS in Three Categories of Hospital Workers, Hong Kong
title_full_unstemmed SARS in Three Categories of Hospital Workers, Hong Kong
title_short SARS in Three Categories of Hospital Workers, Hong Kong
title_sort sars in three categories of hospital workers, hong kong
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320402/
https://www.ncbi.nlm.nih.gov/pubmed/15496240
http://dx.doi.org/10.3201/eid1008.040041
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