Speaker
Description
In this talk, we will present several mathematical models of tuberculosis (TB) based on the reported data in the Republic of Korea and Philippines, and also propose the optimal treatment strategies depending on the various scenarios in each country. Korea has ranked the highest TB incidence among members of the Organization for Economic Cooperation and Development (OECD). TB is the sixth leading cause of morbidity and mortality in the Philippines. The least-square curve fitting have been used for best fitting the parameters in our models to the observed data. To determine the optimal intervention strategy which is reducing the number of exposed and infectious individuals and the cost of control measures, optimal control theory was used [1]. Important issues has been addressed from our research: implementing the smoking controls, not with TB controls, can derive significant reduction of the incidence of TB transmission [3]. We suggested the rearrangement of the Korean government TB budget based on optimal treatment strategies from modelling [2]. Finally, in the Philippines enhancing active finding control is a significant control factor to curtail the spread of TB [4].
[1] Sunhwa Choi, Eunok Jung, Sungim Whang, A dynamic model for tuberculosis transmission and optimal treatment strategies in South Korea, JTB 279 (2011) 120-131
[2] Sunhwa Choi, Eunok Jung, Optimal Tuberculosis Prevention and Control Strategy from a Mathematical Model Based on Real Data, BMB (2014) 76:1566-1589
[3] Sunhwa Choi, Eunok Jung, Seok-Min Lee, Optimal intervention strategy for prevention tuberculosis using a smoking-tuberculosis model, JTB 380 (2015) 256-270
[4] Soyoung Kim, Aurelio A. de los Reyes V, Eunok Jung, Mathematical Model and Intervention Strategies for Mitigating Tuberculosis in the Philippines, JTB 443 (2017) 100-112
