Hee Dae Kwon
Inha University
9 Papers
17 Citations
Hee Dae Kwon is an academic researcher from Inha University. The author has contributed to research in topics: Optimal control & Viral load. The author has an hindex of 4, co-authored 9 publications.
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Papers
Mathematical Modeling of HIV Prevention Measures Including Pre-Exposure Prophylaxis on HIV Incidence in South Korea
Sun Bean Kim,Myoungho Yoon,Nam Su Ku,Min Hyung Kim,Je Eun Song,Jin Young Ahn,Su Jin Jeong,Changsoo Kim,Hee Dae Kwon,Jeehyun Lee,Davey M. Smith,Jun Yong Choi +11 more
TL;DR: PrEP and early diagnosis could be a very effective way to reduce HIV incidence in South Korea among MSM, and it would be most effective if all interventions (PrEP, early diagnosis and early treatment) were implemented together.
Optimal control of an age-structured model of HIV infection
TL;DR: It is demonstrated by numerical simulations that the dynamic treatment strategy delays the time to reach the peak viral load and reduces the viral load.
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Cost-effectiveness analysis of pre-exposure prophylaxis for the prevention of HIV in men who have sex with men in South Korea: a mathematical modelling study
Heun Choi,Jiyeon Suh,Woonji Lee,Jun Hyoung Kim,Jung Ho Kim,Hye Seong,Jin Young Ahn,Su Jin Jeong,Nam Su Ku,Yoon Park,Joon Sup Yeom,Changsoo Kim,Hee Dae Kwon,Davey M. Smith,Davey M. Smith,Jeehyun Lee,Jun Yong Choi,Jun Yong Choi +17 more
TL;DR: Estimating the cost-effectiveness of PrEP in men who have sex with men (MSM), a major risk group emerging in Korea, found it to be highly sensitive to annual PrEP costs, quality-of-life for people who are on PrEP, and initial HIV prevalence.
An age-structured model with immune response of HIV infection: Modeling and optimal control approach
TL;DR: In this paper, an age-structured model of HIV infection with various compartments, including target cells, infected cells, viral loads and immune effector cells, was developed and analyzed to provide a better understanding of the interaction between HIV and the immune system.
Hybrid on-off controls for an hiv model based on a linear control problem
TL;DR: In this article, the authors considered a model of HIV infection with various compart- ments, including target cells, infected cells, viral loads and immune effec- tor cells, to describe HIV type 1 infection.