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SARS沿交通线的“飞点”传播模型
引用本文:杨华,李小文,施宏,赵开广,韩丽娟.SARS沿交通线的“飞点”传播模型[J].遥感学报,2003,7(3):251-255.
作者姓名:杨华  李小文  施宏  赵开广  韩丽娟
作者单位:北京师范大学 遥感与GIS研究中心,北京 100875;;北京师范大学 遥感与GIS研究中心,北京 100875;中国科学院 遥感应用研究所,北京 100101;Department of Geography and Center for Remote Sensing,Boston University,Boston MA02215 USA;北京师范大学 数学系,数据统计与数据分析,北京 100875;北京师范大学 遥感与GIS研究中心,北京 100875;;北京师范大学 遥感与GIS研究中心,北京 100875;
基金项目:国家自然科学基金主任基金项目“SARS传播时空模型研究”(40341002 ),863计划课题“SARS流行病学资料的实时收集、分析趋势预测”(2003AA208401)资助。
摘    要:2003年春SARS在中国部分地区暴发与蔓延,情况非常危急。全国集中力量对SARS病原学、实验室诊断和临床治疗以及传播模型、应急反应系统等展开研究。综观此次SARS的传播,除有以往流行性疾病传播的一些共同特点外,还有一个很明显的特点:远距离跳跃式传播。这是以往以及目前针对SARS建立的点源扩散模型无法单独解决的。因此提出建立沿交通线的“飞点”传播模型,以交通工具为一尺度,建立相对封闭的交通工具内的SARS传播模型,另以此为基础,建立沿交通线这一尺度上的有人员流动的空间传播模型,建立二尺度的“飞点”传播模型

关 键 词:SARS  交通线  非典型肺炎  “飞点”传播模型  流行性疾病
收稿时间:6/5/2003 12:00:00 AM
修稿时间:6/7/2003 12:00:00 AM

Fly Dots" Spreading Model of SARS along Transportation
YANG Hu,LI Xiao-wen,SHI Hong,ZHAO Kai-guang and HAN Li-juan.Fly Dots" Spreading Model of SARS along Transportation[J].Journal of Remote Sensing,2003,7(3):251-255.
Authors:YANG Hu  LI Xiao-wen  SHI Hong  ZHAO Kai-guang and HAN Li-juan
Institution:The Institute of Remote Sensing and GIS,Dept.Geography,Beijing Normal University,Beijing 100875 China;The Institute of Remote Sensing and GIS,Dept.Geography,Beijing Normal University,Beijing 100875 China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;Department of Geography and Center for Remote Sensing,Boston University,Boston MA02215 USA;Statisical Data Analysis Center,Dept.Math,Beijing Normal University,Beijing 100875 China;The Institute of Remote Sensing and GIS,Dept.Geography,Beijing Normal University,Beijing 100875 China;The Institute of Remote Sensing and GIS,Dept.Geography,Beijing Normal University,Beijing 100875 China
Abstract:In the beginning of this year,SARS(Severe Acute Respiratory Syndrome)broke out and spread in mainland of China,Hong Kong,Taiwan and other countries,regions successively. The world,especially China,pays high attentions on this public hygiene safety affair and takes various measures to prevent and control the further spreading of SARS.This work began in early April in this background.At this time,the SARS began to spread to Beijing and northern regions of China, but the situation in southern regions,such as Guangdong and Hong Kong is relative stable. The data about SARS spreading,special cases and sources in these regions are available.Through these information,we found the spreading characteristic of SARS has a distinct one besides other common ones,namely,jumped sperad between two points in long distance.This characteristic can not be singly described by the diffusion models for point sources. Pointed to this, a "fly dots"spreading model along transportation is put forward in this paper,which takes the vehicle as a scale and sets up SARS spreading model in the relative sealed vehicle. Based on this model,in a scale of the transportation, the spatial spreading of SARS due to flow of passengers is modeled. We simulatde the danger probability of SARS sperading, three cases reported in internet,and the affect of Beijing SARS epidemic situation to in Hebei province due to flow of passengers.The results show that this model meets the spacial spreading characteristic of SARS. Not only the vent,and disinfect and others measures affect SARS spreading in vehicle,but time is also an important factor to be considered. The SARS spread along transportation is affected by these regions' population distribution,the SARS epidemic situation in the beginner affect the situation in the regions of the stops in a great degree. The results simulated by the models can be used to support the decision-making
Keywords:SARS  transportation  "fiy dots"  spreading model
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