title: What does a mathematical model tell about the impact of reinfection in korean tuberculosis infection?
abstract: OBJECTIVE
  According to the Korea Centers for Disease Control and Prevention, new active tuberculosis (TB) cases have increased since 2001. Some key factors explain and characterize the transmission dynamics of Korean TB infection, such as a higher ratio of latent individuals and a new reporting system implemented in 2001, among others.
  
  
  METHODS
  We propose a mathematical TB model that includes exogenous reinfection to gain a better understanding of the recent trend for TB incidence. We divide the simulation time window into two periods, 1970-2000 and 2001-2012, according to the implementation date of a new TB detection system.
  
  
  RESULTS
  Two sets of parameters, including the transmission rate, the latent period, the recovery rate, and the proportion of exogenous reinfection, are estimated using the least-squares method and calibrated to data on the incidence of active TB.
  
  
  CONCLUSIONS
  Among some key parameters in the model, the case finding effort turned out to be the most significant impacting component on the reduction in the active TB cases.
authors: Department of Applied Mathematics, Kyung-Hee University, Yongin, Korea.
authors: Sara
authors: S
authors: Kim
authors: Department of Applied Mathematics, Kyung-Hee University, Yongin, Korea.
authors: Seoyun
authors: S
authors: Choe
authors: Department of Applied Mathematics, Kyung-Hee University, Yongin, Korea.
authors: Junseong
authors: J
authors: Kim
authors: Department of Applied Mathematics, Kyung-Hee University, Yongin, Korea.
authors: Sanga
authors: S
authors: Nam
authors: Department of Applied Mathematics, Kyung-Hee University, Yongin, Korea.
authors: Yeon
authors: Y
authors: Shin
authors: Department of Applied Mathematics, Kyung-Hee University, Yongin, Korea.
authors: Sunmi
authors: S
authors: Lee
keywords: Exogeneous reinfection; Korea; Tuberculosis; Tuberculosis control measures