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Control dynamics of severe acute respiratory syndrome transmission

Severe acute respiratory syndrome (SARS) is a serious disease with many puzzling features. We present a simple, dynamic model to assess the epidemic potential of SARS and the effectiveness of control measures. With this model, we analysed the SARS epidemic data in Beijing. The data fitting gives the...

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Detalles Bibliográficos
Autores principales: Wang, Haiying, Rong, Feng, Ke, Fujiu, Bai, Yilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science in China Press 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088754/
https://www.ncbi.nlm.nih.gov/pubmed/32214709
http://dx.doi.org/10.1007/BF02901756
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author Wang, Haiying
Rong, Feng
Ke, Fujiu
Bai, Yilong
author_facet Wang, Haiying
Rong, Feng
Ke, Fujiu
Bai, Yilong
author_sort Wang, Haiying
collection PubMed
description Severe acute respiratory syndrome (SARS) is a serious disease with many puzzling features. We present a simple, dynamic model to assess the epidemic potential of SARS and the effectiveness of control measures. With this model, we analysed the SARS epidemic data in Beijing. The data fitting gives the basic case reproduction number of 2.16 leading to the outbreak, and the variation of the effective reproduction number reflecting the control effect. Noticeably, our study shows that the response time and the strength of control measures have significant effects on the scale of the outbreak and the lasting time of the epidemic.
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spelling pubmed-70887542020-03-23 Control dynamics of severe acute respiratory syndrome transmission Wang, Haiying Rong, Feng Ke, Fujiu Bai, Yilong Chin Sci Bull Reports Severe acute respiratory syndrome (SARS) is a serious disease with many puzzling features. We present a simple, dynamic model to assess the epidemic potential of SARS and the effectiveness of control measures. With this model, we analysed the SARS epidemic data in Beijing. The data fitting gives the basic case reproduction number of 2.16 leading to the outbreak, and the variation of the effective reproduction number reflecting the control effect. Noticeably, our study shows that the response time and the strength of control measures have significant effects on the scale of the outbreak and the lasting time of the epidemic. Science in China Press 2003 /pmc/articles/PMC7088754/ /pubmed/32214709 http://dx.doi.org/10.1007/BF02901756 Text en © Science in China Press 2003 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Reports
Wang, Haiying
Rong, Feng
Ke, Fujiu
Bai, Yilong
Control dynamics of severe acute respiratory syndrome transmission
title Control dynamics of severe acute respiratory syndrome transmission
title_full Control dynamics of severe acute respiratory syndrome transmission
title_fullStr Control dynamics of severe acute respiratory syndrome transmission
title_full_unstemmed Control dynamics of severe acute respiratory syndrome transmission
title_short Control dynamics of severe acute respiratory syndrome transmission
title_sort control dynamics of severe acute respiratory syndrome transmission
topic Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088754/
https://www.ncbi.nlm.nih.gov/pubmed/32214709
http://dx.doi.org/10.1007/BF02901756
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