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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science in China Press
2003
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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. |
format | Online Article Text |
id | pubmed-7088754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Science in China Press |
record_format | MEDLINE/PubMed |
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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