課程資訊
課程名稱
傳染病流行病學數理模式
Modeling of Infectious Diseases Epidemiology 
開課學期
104-2 
授課對象
公共衛生學院  流行病學與預防醫學研究所  
授課教師
方啟泰 
課號
EPM5044 
課程識別碼
849 U0150 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三8,9(15:30~17:20) 
上課地點
公衛212 
備註
共授教師:溫在弘。合授教師:林先和、余化龍。與溫在弘合開
總人數上限:25人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1042EPM5044 
課程簡介影片
 
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課程概述

This course is intended for undergraduate and graduate students who have the desire to understand the basic concepts of mathematical modeling and its applications to the epidemiological study of infectious diseases. The course will provide students to discover how mathematical concepts help us understand the spread of infectious pathogens through dynamic populations. Students will explore existing mathematical models in practical computer lab sessions, and also learn how to determine the key parameters involved in the spread of pathogens, the impact of changes in these parameters, and discuss the public health policy implications. Through discussions of published papers, students will learn how to critically evaluate a modeling paper, and how to communicate the modeling results with policy-makers. 

課程目標
The course has two major objectives: (1) introduce basic principles of mathematical modeling methods and (2) emphasize the significance of simulation and modeling to the study of infectious disease epidemiology. 
課程要求
Weekly readings, written assignments and participation in class discussion and computer lab. There is a take-home mid-term exam for evaluating students the ability of implementing a disease transmission model. Students also need to complete term project addressing mathematical or computer modeling in one of infectious diseases of their choice. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
 
參考書目
1. Keeling, M.J. and Rohani, P. (2008) Modeling Infectious Diseases in Humans
and Animals. Princeton University Press.
2. Vynnycky, E. and White, R.G. (2010) An Introduction to Infectious Disease
Modelling. Oxford University Press.
3. Anderson, R. M. and May, R. M. (1992) Infectious Diseases of Humans:
Dynamics and Control, Oxford University Press
4. Hannon, B and Ruth, M (2009), Dynamic Modeling of Diseases and Pests,
Springer
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Mid-term examination 
30% 
 
2. 
Home work 
40% 
 
3. 
Term presentation 
30% 
 
 
課程進度
週次
日期
單元主題
第1週
2/24  Introduction to Modeling in Infectious Diseases Epidemiology(溫在弘/方啟泰) 
第2週
3/2  SIR Model and R0(方啟泰) 
第3週
3/9  Simulating SIR Epidemics(溫在弘) 
第4週
3/16  Latent Period and Carrier State: SEIR Model (1)(方啟泰) 
第5週
3/23  Latent Period and Carrier State: SEIR Model (2)(溫在弘) 
第6週
3/30  Modeling disease with complex natural history: tuberculosis as an example (林先和)
 
第7週
4/6  Parameter Estimation and Sensitivity Analyses(林先和) 
第8週
4/13  Modeling Realistic Epidemic – Infection-related Mortality, Immunity Waning, and Risk-Structure (1)(方啟泰) 
第9週
4/20  Modeling Realistic Epidemic – Infection-related Mortality, Immunity Waning, and Risk-Structure (2)(溫在弘) 
第10週
4/27  Take Home Mid-term exam  
第11週
5/4  Mid-term Exam Discussion(溫在弘/方啟泰) 
第12週
5/11  Modeling Age-Structure and Stochastic Dynamics (1)(方啟泰) 
第13週
5/18  Controlling Infectious Diseases: Vaccination and Isolation(方啟泰) 
第14週
5/25  Modeling Age-Structure and Stochastic Dynamics (2)(溫在弘) 
第15週
6/1  Special Lecture:Spatiotemporal modeling of infectious diseases (台大生工系 余化龍)
 
第16週
6/8  Journal reading and presentation 1 (HIV)(溫在弘/方啟泰)
許筑淋、陳怡諠、朱柏威、黃士澤 
第17週
6/15  Journal reading and presentation 2 (Dengue)(溫在弘/方啟泰)
廖皓宇、江亭慧、洪嘉鴻、石品薇、周佑霖 
第18週
6/22  Journal reading and presentation 3 (Influenza)(溫在弘/方啟泰)
陳國瑋、陳岱廷、林琬庭、宋成潔