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Modeling and Analysis of Infectious Diseases in the Age of globalization
Taiwan (FMS-Taiwan) - China Medical University, Taichung
Department of Public Health
Prof. Ching-Tsan Tsai
Theory: Prof. Ying-Hen Hsieh
English, Mandarin Chinese
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. 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 is the aim of the project?
What techniques and methods are used?
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?
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?
- No specific outcome is expected
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
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