美赛O奖论文A题ProblemA35532pdfWord下载.docx

1、2015 Mathematical Contest in Modeling （MCM） Summary SheetSummaryThe complex epidemic of Zaire ebolavirus has been affecting West Africa. A series of realistic, sensible, and useful mathematical model about Ebola of spreading and medication delivery are developed to eradicating Ebola.这个复杂的传染病，埃博拉，已经影

2、响西非好久。一系列真实可信的关于抑制埃博拉传播和医药相关的数学模型正在建立。First, we divide the spreading of disease into three periods: naturally spreading period, spreading period with isolation but without effective medications and spreading period with effective medications. We develop a SEIR （susceptible-exposed-infectious-recover

3、ed） model to simulate the spread of the disease in the primary period. Then the model are improved to a SEIQR （susceptible-exposed-infectious-quarantined-recovered） model to adapt to the second and third period and to predict the future trends in 第一，我们把这个疾病划分为三个部分：自然传播过程，没有有效药物控制的独立传播过程和有有效控制的传播过程。我

4、们建立了一个SEIR（易受暴露的感染性恢复）模型来模拟早期疾病的传播。接着我们又把模型升级为一个SEIQR（易受暴露性感染后的隔离恢复）来适应第二和第三阶段的传播同时也用来预测在Guinea, Sierra Leone and Liberia.的传播情况。 According to our plan, drugs are delivered to countries in need separately by air, then to medical centers by highway and be used for therapy of patients there. To solve t

5、he problem of location decision of medical centers, which belongs to a set covering problem, we developed a multi-objective optimization model. The models goal is minimizing the numbers of medical centers and total patients time cost on the road on the condition that all of patients can be sent a me

6、dical center in time. We solved the model with genetic algorithm, and get an approximate optimal solution with 7 medical centers. 根据我们的计划，运送药物的国家个别的需要空中运输，然后疾病中心通过高速公路将药物运送到患者手中。为了决定当地医疗中心位置的一个覆盖问题，我们建立了一个多元线性规划的选择模型。这个模型的目的是最小化医疗中心与主要患者之间在路上的距离使得所有患者能够被及时得送去医疗中心。我们用一个演变的算法解决了这个模型并得出一个最优化的结果-7个医疗中心。

7、Then we built a logistic block growth model to describe the changing speed of drugs manufacturing. Comparing it with the SEIIR model, we considered the two situations: one is in severe shortage of drugs, the other is relatively sufficient in drugs. We built two optimization models for the two situat

8、ions. The optimization goal is minimizing the number of the infectious and minimizing of death cases and the number of infectious individuals, respectively. The decision variables is the drug allocation for every country, and the constraint conditions is drug production.接着我们便建立了一个逻辑上的增长模型来描述这个药物生产的改

9、变速度。跟SEIIR模型比较起来，我们考虑了两个处境：一个就是药物上的严重不足，另一个就是药物充足。也因此建立了两个优化模型针对这两种情况。最优的方案就是各自缩小死亡和感染的人数。这个结论是根据每个国家的制药厂和制药的约束条件决定的。Finally, by a comprehensive analysis, we made a six-month drug delivery plan for Guinea, Liberia and Sierra Leone, and predict the spreading trends of Ebola in the next six month with

10、 the efficient medications blockage.最后通过一个复杂的分析，我们为Guinea, Liberia and Sierra Leone制定了一个六个月的送药计划，并且预测了埃博拉疾病在有效药物控制情况下的发展趋势。The sensitivity analysis of our models has pointed out that the transmission rate and the initial value setting will affect the result greatly. We find that the speed of drug ma

11、nufacturings growth rate may control of the epidemic. The minimum daily output of drugs Gm must greater than 4000. Otherwise ,the epidemic will be out of control.我们这个模型分析的准确性极大地取决于运输速度和重要地点的设立。我们分析药物的生产速度r会控制这个疾病。每天药物的生产量必须得有4000.否则，这个疾病就会失去控制。Team # 355321 / 34Introduction（介绍）Problem backgroundA co

12、mplex epidemic of Zaire Ebola virus （EBOV） has been affecting West Africa since approximately December 2013, with first cases likely occurring in southern Guinea 1 and facilitating several transmission chains to progress essentially unchecked in the region and to cross porous borders with neighborin

13、g Sierra Leone and Liberia and seed a limited outbreak in Nigeria via commercial airplane on 20 July 2014 2. Then the number of new cases appear an exponential growth. While public health interventions have been introduced in all affected countries, the numbers of infected cases and deaths from EBOV

14、 continue to increase due to the loss of effective medication. A total of 22,495 cases, with 8,981 deaths, have been reported to the World Health Organization as of 4 February 20153.2014年4月3日 - 世卫组织支持国家当局对埃博拉病毒病疫情作出应对（埃博拉病毒病；以往称作埃博拉出血热）。现在已经确定，该疫情由一种与扎伊尔型埃博拉病毒十分接近（98）的埃博拉病毒引起。这是首次在西非发现该病。在几内亚东南部的森林地

15、带首次报告出现病例。疫情发展很快，若干地区以及科纳克里已报告发生由埃博拉病毒病引起的病例和死亡情况。在邻近国家也报告发生了少量疑似病例和死亡，这些病例都曾经由几内亚。几内亚和利比里亚已报告发生确诊病例。（世界卫生组织组织的话，暂不翻译）Our workSince new anti-Ebola drug has been developed, a realistic, sensible, and useful mathematical model about drug allocation and delivery is necessary. Depending on the goal, we

16、divide the spread of disease into three periods: naturally spreading period, spreading period with intervention and spreading period with effective medications. And then we develop a SEIR （susceptible-exposed-infectious-recovered） model to simulate the spread of the disease in the primary period, ba

17、sed on the changing trend of the numbers of infected cases and deaths. Finally, the model are improved to a SEIIR （susceptible-exposed-infectious-isolated-recovered） model to adapt to the second and third period and to predict the future trends in Guinea, Sierra Leone and Liberia.自从新的埃博拉疫苗被研发出来，一个有效

18、实用的药物运输和存储数学模型就是必要的。基于这个目的，我们将疾病传播分为3个时期：自然传播，不受药物控制的传播和收药物控制的传播。同时我们基于这些不断变化的感染和死亡的数据，建立了一个SEIR模型来模拟疾病早期的蔓延。然后，最终的一个升级模型就是SEIIR，这是适用于二三阶段并预期在这几个地区的发展趋势。A delivery system include two main parts: numbers and locations of medical central delivering drugs decision and drug allocation of every medical c

19、enter. For this reason, an evaluation system of every countrys long-term epidemic situation, two multi-objective optimization are built separately. We developed a detailed plan via our models.一个运输系统应当包括两个方面：一个就是医疗运输中心位置的数量，另一个就是每个医疗中心的药物存储位置。由于这个原因每个国家对于流行性的长期疾病的评估系统就要结合这两个多元的优化结果而独立建立。Symbols and d

20、efinitions（1） Symbol for SEIIR model with effective medicationSymboldefinitionsSsusceptible individuals（易感人群）Eexposed individuals（被暴露的人群）Iinfectious individuals（被感染人群）isolatedisolated infectious individuals（被感染后的隔离人群）I freenon- isolated infectious individuals（感染后没有被隔离的人群）Rrecover and survive individ

21、uals（恢复率和存活率）Ddeath case（死亡率）鉃*錡鍦醟 w釱/鈅 錓嶞oo醷鎌N1 1 f1f2G （t）（2）Symbol for model IIpqV =v, v , v2iX = x, x ,xj, xd （ x , y）hnM nrn :m:BnIn2 / 34total population of the area（该地区总人口）The transmission rate of EBOV（疾病传播速率）the average durations of incubation.（潜伏时长）the average durations of infectiousness（感染

22、时长）the case fatality rate（致死率）the ratio of new non-isolated infective patients（新的未被隔离的患病率）the non- isolated individuals fatality rate（未被隔离的死亡率）the isolated individuals fatality rate（隔离后的死亡率）number of drug supply（药物供给量）Definitions（定义）the number of capitals of first-level administrative divisions in a

23、 country（这个国家一级管理部门的数量）the number of medical centers for EVD set in a country;（全国为EVD的医疗救护中心）the set of capitals（中心的建立）the set of medical centers（医疗救护中心的建立）he shortest distance from x to y（X与Y的最短距离）the metric of quantity of drug needed of the i th administrative in the coming period（在未来一段时间内药物需求量的管理

24、距离）the population of the nth administrativedivisionthe area of the nth administrative divisionthe population of the main city of the nth administrative division.（n个管理部门的分布）the area of the main city of the nth administrative division.（主要城市的n个管理部门的分布）the temperature of the nth administrativethe Infected people number of the nth administrative division is represented（分隔地区下的受感染人群数量）鉃 * 錡鍦醟 w 釱 /鈅 錓 嶞 oo醷 鎌3 / 34Fopen degree of Ebola treatment centers（埃博拉医疗中心的公开程度）CnDivision（每个分离地区的温度）cthe number of open ETCs in the country（在该国家ETCs的公开程度）openthe number of cities in the country（）