Modeling and Analysis of Infectious Diseases in the Age of globalization
Taiwan (FMS-Taiwan) - China Medical University, Taichung
Public Health
Department of Public Health
Prof. Ching-Tsan Tsai
Theory: Prof. Ying-Hen Hsieh
English, Mandarin Chinese
4 weeks
Cities/Months Jan Feb Mar Apr May Jun Jul Augt Sep Oct Nov Dec
Yes Yes No No No No Yes Yes Yes No No No
Type of Research Project
- Global Action Project (GAP)
What is the background of the project?
The spread of an infectious disease involves many factors such as the agent (virus, bacteria, etc.), the host, and the environment in which transmissions take place. The purpose of modeling and analysis of infectious diseases, in relation to global public health, is to evaluate the process of disease spread, to understand its epidemiology, to determine the most effective interventions required, and its timeliness which is especially importantly in this modern age of globalization. Mathematical modeling of infectious diseases is growing in importance because of the various issues in global disease spread and in its control arising from many new or newly emerging diseases (e.g., SARS, dengue, Ebola, H1N1pmd09, avian influenza, Zika, etc.) in recent years, and because massive data sources are now available for studying disease transmission, pathogen evolution and the impact of social behavior of the hosts.
What is the aim of the project?
Utilizing big data sources to understand the subsequent impacts on disease spread requires detailed and sophisticated modeling of the interactions amongst pathogens and hosts, which is the primary purpose of this project.
What techniques and methods are used?
The nature of field work is mainly dry lab, where the student will be expected to learn to perform the followings: 1. Collection raw data in infectious diseases from either government websites or public access depositories. 2. Input, manage and clean raw data into useable data in Excel file for the use of computation and modeling. 3. Learn to use software, such as SAS or R, to run model estimation or simulation, whenever suitable. 4. Learn to analyze and interpret the modeling/computing results.not provided
What is the role of the student?
- The tasks will be done under supervision
What are the tasks expected to be accomplished by the student?
The project is designed to promote interdisciplinary research and to create an environment for initiating and facilitating interaction between the student and our interdisciplinary infectious disease modeling research group, in order to forge a strong link between theory and practice. The student is expected to be actively involved in ongoing research projects on modeling and analysis of infectious diseases of global concern.
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- The student will prepare a scientific report
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
Some knowledge of calculus, statistics, epidemiology, infectious diseases; and some experiences with using some (but not all) math/statistics software such as SAS, R, MATLAB, etc.
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts:
- Medical students
- Graduated students (less than 6 months)
- Pre-Medical students from the American-British system
- Hsieh YH and YS Cheng. (2006) Real-time forecast of multi-phase outbreaks. Emerging Infectious Diseases; 12(1):122-7. (SARS outbreak in Canada)
- Hsieh YH and Stefan Ma. (2009) Intervention Measures;Turning Point; and Reproduction Number for Dengue; Singapore; 2005. Am.J.Trop.Med.Hyg. 80(1):66-71.
- Hsieh YH and Arazoza; H.(2009) Correspondence to