Type of Document Master's Thesis Author Zhao, Ken Kun Author's Email Address kenzhao100@hotmail.com URN etd-04182008-123036 Title TREATMENTS OF CHLAMYDIA TRACHOMATIS AND NEISSERIA GONORRHOEAE Degree Master of Science Department Mathematics and Statistics Advisory Committee
Advisor Name Title Guantao Chen Committee Chair Jiawei Liu Committee Member Zhongshan Li Committee Member Keywords
- Optimization
- Cubic Integer Programming
- Nonlinear Programming
- Sexual Transmitted Disease
- Screening
Date of Defense 2008-03-26 Availability unrestricted Abstract Chlamydia Trachomatis and Neisseria Gonorrhoeae rank as the two most commonly reported sexually transmitted diseases (STDs) in the United States. Under limited budget, publicly funded clinics are not able to screen and treat the two diseases for all patients. They have to make a decision as to which group of population shall go through the procedure for screening and treating the two diseases. Therefore, we propose a cubic integer programming model on maximizing the number of units of cured diseases. At the same time, a two-step algorithm is established to solve the cubic integer program. We further develop a web-server, which immediately make recommendation on identifying population groups, screening assays and treatment regimens. Running on the empirical data provided by the Centers for Disease Control and Prevention, our program gives more accurate optimal results comparing to MS Excel solver within a very short time.Files
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