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研究生： 周坤霖
Chou, Kun-Lin
論文名稱： 台灣地區結核病控制之兩階段最佳資源分配模式
Two-Level Resource Allocation Model for Tuberculosis Epidemiology Control in Taiwan
指導教授： 溫于平
Wen, Ue-Pyng
口試委員:
學位類別： 碩士
Master
系所名稱： 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年： 2010
畢業學年度： 98
語文別： 英文
論文頁數： 46
中文關鍵詞： 結核病 、都治計畫 、傳染病模型 、最佳化 、兩階段模型
外文關鍵詞： Tuberculosis, DOTS, Epidemic model, Optimization, Two-level model
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    • Tuberculosis is considered as not only a severe infectious disease in Taiwan, but also a major threat to public health worldwide. Statistics from C.D.C Taiwan show 70% of the total 38 reportable infectious diseases are tuberculosis cases. If properly cared, the tuberculosis patient can almost be cured. Otherwise, if not taking effective cure method, half of the tuberculosis patient will die in three years. Furthermore, approximately 1,000 people die from tuberculosis every year in Taiwan. In order to control this disease, the government decided to launch a national strategy, i.e. “Reduce TB by half in 10 years” for responding to the international trend in TB control. The government of Taiwan has invested the budget of 8.37 billons NT dollars for the first 5 years of the national campaign. How to minimize the number of the infectious patients under the limited budget is what we are concerned. In this thesis, firstly, we consider the prevention programs in “Reduce TB by half in 10 years” plan to control the tuberculosis, such as DOTS and increasing the vaccination rate, and so on. Secondly, we propose a two-level resource allocation model to find the best resource allocation and control the disease in each region. We also use weight concept to allocate resource proportionally. To analyze resource allocation model in each different weight. Finally, we compare pros and cons between four types of resource allocation models.

    摘要 i Abstract ii 誌謝辭 iii Table of Contents iv List of Figures vi List of Tables vii 1. Introduction 1 1.1 Background 1 1.2 Motivation 2 1.3 Research Framework 3 2. Literature Review 5 2.1 Epidemic Model 5 2.2 Production Function 6 2.3 Optimization Models 7 3. Model Construction 10 3.1 Problem Statement 10 3.2 Model Framework 11 3.2.1 State Description 12 3.2.2 Parameter Definition 14 3.2.3 Tuberculosis control Interventions 16 3.2.4 Epidemic Model and equations 19 3.3 Resource Allocation Problem 23 4. Numerical Analysis 27 4.1 Estimation of parameters 27 4.1.1 Initial populations 27 4.1.2 Epidemiological flow parameters 29 4.1.3 Production functions 30 4.2 Approximation Method to Approach the Objective value 31 4.3 Experimental Results 31 5. Conclusions 39 References 41 Appendix 1 43 Appendix 2 44

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