Literature DB >> 15941495

[To develop a model on severe acute respiratory syndrome epidemics to quantitatively evaluate the effectiveness of intervention measures].

Quan-cai Cai1, Qing-wu Jiang, Qin-feng Xu, Xiang Cheng, Qiang Guo, Qing-wen Sun, Gen-ming Zhao.   

Abstract

OBJECTIVE: To build an epidemic model of severe acute respiratory syndrome (SARS) to be used to quantitatively evaluate the effectiveness of intervention measures.
METHODS: Following the nature of SARS epidemics, an epidemic model of SARS based on SEIR model of infectious disease was built, in which case management group was set up and some parameters related to control measures were included. As an example, data gathered from Beijing was fitted to illustrate its application to quantitatively evaluate the intervention measures.
RESULTS: In the newly developed model of epidemics, parameters related to control measures could easily be modified. When scenario assumption was used, a model on SARS outbreak under various circumstances of intervention measures could be set. Thus, quantitative evaluation of intervention measures could perfectly be caried out. Pilot study revealed that the fitness existed in modeling the outbreak of SARS in Beijing and the intervention measures implemented around April 20, 2003, had major contribution to the control of SARS.
CONCLUSION: The model of SARS epidemics seemed to be stable and reliable to be used to evaluate the effectiveness of intervention measures implemented during the SARS outbreak in a quantitative way.

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Year:  2005        PMID: 15941495

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  2 in total

1.  Addressing External Shock in Urban Agglomeration: Implications From the Transmission Pattern of COVID-19 in the Beijing-Tianjin-Hebei Area.

Authors:  Daohan Huang; Fenghua Wen; Shunru Li
Journal:  Front Public Health       Date:  2022-05-11

2.  Spatio-temporal evolution of Beijing 2003 SARS epidemic.

Authors:  ZhiDong Cao; DaJun Zeng; XiaoLong Zheng; QuanYi Wang; FeiYue Wang; JinFeng Wang; XiaoLi Wang
Journal:  Sci China Earth Sci       Date:  2010-05-12       Impact factor: 4.368

  2 in total

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