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传染病疫情现场预测预警系统的构建
引用本文:王立贵,张霞,郝荣章,褚宸一,邱少富,王勇,蒲卫,袁正泉,宋宏彬. 传染病疫情现场预测预警系统的构建[J]. 医疗卫生装备, 2012, 33(7): 10-11
作者姓名:王立贵  张霞  郝荣章  褚宸一  邱少富  王勇  蒲卫  袁正泉  宋宏彬
作者单位:1. 解放军疾病预防控制所,北京,100071
2. 北京军区疾病预防控制中心,北京,100071
3. 解放军卫生信息中心,北京,100842
摘    要:目的:在突发传染病疫情现场,实现疫情的发展趋势预测及重要流行病参数估计。方法:基于SIR、SIS及SEIR动力学模型,实现疫情发展趋势预测,基于退火算法实现疫情重要参数估计,并基于JAVA语言建立重要呼吸道传染病疫情现场预测预警系统。结果:该系统不仅可以根据已知的流行病学特征参数预测传染病疫情发展趋势,还可以根据每天的新增发病人数,精确估计重要的流行病学特征参数,从而进行疫情的发展趋势预测。结论:该系统的建立能够实现疫情的现场快速有效预测预警,从而提高了疫情处置的时效性和科学性。

关 键 词:传染病  疫情  预测  预警

Establishment of Prediction & Warning System for Epidemics
WANG Li-gui , ZHANG Xia , HAO Rong-zhang , CHU Chen-yi , QIU Shao-fu , WANG Yong , PU Wei , YUAN Zheng-quan , SONG Hong-bin. Establishment of Prediction & Warning System for Epidemics[J]. Chinese Medical Equipment Journal, 2012, 33(7): 10-11
Authors:WANG Li-gui    ZHANG Xia    HAO Rong-zhang    CHU Chen-yi    QIU Shao-fu    WANG Yong    PU Wei    YUAN Zheng-quan    SONG Hong-bin
Affiliation:1. Institute of Disease Prevention & Control of the PLA, Beijing 100071, China; 2. Center for Disease Prevention & Control, Beijing Military Area Command, Beijing 100071, China; 3. Health Information Center of the PLA, Beijing 100842, China)
Abstract:Objective To predict the epidemic trend and epidemiological characteristics in the field. Methods The model of SIS, SIR, SEIR and ANNEAL algorithm were used to predict the epidemic trend and epidemiologieal characteristics, java was used to construct system. Results The system could forecast the epidemic trend based on epidemiological characteristics. Furthermore, the system could estimate important epidemiologieal parameters by number of cases per day, and then forecast the epidemic trend. Conclusion The establishment of the prediction & warning system for epidemics can improve the efficiency of epidemics treatment greatly.
Keywords:infectious diseas  epidemic  prediction  warning
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