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Chang Hyeong Lee

Ulsan National Institute of Science and Technology · 医学

研究室紹介

Professor Chang Hyeong Lee's research lab specializes in mathematical and computational modeling of infectious disease dynamics, with a focus on understanding the impact of host behavior, environmental factors, and public health interventions. The lab develops age-structured, stochastic, and network-based models to analyze transmission patterns of emerging and re-emerging diseases such as dengue fever and COVID-19, integrating climate change, human mobility, and vaccination strategies. Their work emphasizes quantitative risk assessment, sensitivity analysis, and the application of moment closure techniques for stochastic systems. The lab's research bridges mathematical biology, epidemiology, and public health policy to support evidence-based disease control strategies.

epidemiological modelingdisease transmissionstochastic processesclimate changevaccination strategies

Research Overview

Papers
84
Total Citations
1,585
Papers (5y)
10
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
10total
2021
2022
2023
2024
2025
Citations per year (5y)
110total
20212022202320242025

Selected Papers

15
1
Article|123 citations·2009
A moment closure method for stochastic reaction networks
Chang Hyeong Lee, Kyeong-Hun Kim, Pilwon Kim
SJR Q1The Journal of Chemical Physics

In this paper we present a moment closure method for stochastically modeled chemical or biochemical reaction networks. We derive a system of differential equations which describes the dynamics of means and all central moments from a chemical master equation. Truncating the system for the central moments at a certain moment term and using Taylor approximation, we obtain explicit representations of means and covariances and even higher central moments in recursive forms. This enables us to deal wi

Molecular BiologyBiochemistry, Genetics and Molecular Biology
2
Article|78 citations·2018
Potential effects of climate change on dengue transmission dynamics in Korea
Hyojung Lee, Jung Eun Kim, Sunmi ‍Lee, Chang Hyeong Lee
SJR Q1PLoS ONEOA

Dengue fever is a major international public health concern, with more than 55% of the world population at risk of infection. Recent climate changes related to global warming have increased the potential risk of domestic outbreaks of dengue in Korea. In this study, we develop a two-strain dengue model associated with climate-dependent parameters based on Representative Concentration Pathway (RCP) scenarios provided by the Korea Meteorological Administration. We assess the potential risks of deng

Public Health, Environmental and Occupational HealthMedicine
3
Article|70 citations·2009
A multi-time-scale analysis of chemical reaction networks: I. Deterministic systems
Chang Hyeong Lee, Hans G. Othmer
SJR Q1Journal of Mathematical BiologyOA
Molecular BiologyBiochemistry, Genetics and Molecular Biology
4
Article|63 citations·2021
Vaccination Prioritization Strategies for COVID-19 in Korea: A Mathematical Modeling Approach
Yongin Choi, James Slghee Kim, Jung Eun Kim, Heejin Choi, Chang Hyeong Lee
SJR Q2International Journal of Environmental Research and Public HealthOA

Coronavirus disease 2019 (COVID-19) vaccination has recently started worldwide. As the vaccine supply will be limited for a considerable period of time in many countries, it is important to devise the effective vaccination strategies that reduce the number of deaths and incidence of infection. One of the characteristics of COVID-19 is that the symptom, severity, and mortality of the disease differ by age. Thus, when the vaccination supply is limited, age-dependent vaccination priority strategy s

Modeling and SimulationMathematics
5
Article|37 citations·2017
Assessment of optimal strategies in a two-patch dengue transmission model with seasonality
Jung Eun Kim, Hyojung Lee, Chang Hyeong Lee, Sunmi ‍Lee
SJR Q1PLoS ONEOA

Emerging and re-emerging dengue fever has posed serious problems to public health officials in many tropical and subtropical countries. Continuous traveling in seasonally varying areas makes it more difficult to control the spread of dengue fever. In this work, we consider a two-patch dengue model that can capture the movement of host individuals between and within patches using a residence-time matrix. A previous two-patch dengue model without seasonality is extended by adding host demographics

Public Health, Environmental and Occupational HealthMedicine
6
Article|22 citations·2000
Electrooxidation of methanol on Pt–Ru catalysts supported by basal plane graphite in phosphoric acid solution
Chang Hyeong Lee, Chi Woo Lee, Dong Il Kim, Doo Hwan Jung, Chang Soo Kim, Dong Ryul Shin
SJR Q1Journal of Power Sources
Renewable Energy, Sustainability and the EnvironmentEnergy
7
Article|21 citations·2020
Assessment of Social Distancing for Controlling COVID-19 in Korea: An Age-Structured Modeling Approach
Yongin Choi, James Slghee Kim, Heejin Choi, Hyojung Lee, Chang Hyeong Lee
SJR Q2International Journal of Environmental Research and Public HealthOA

The outbreak of the novel coronavirus disease 2019 (COVID-19) occurred all over the world between 2019 and 2020. The first case of COVID-19 was reported in December 2019 in Wuhan, China. Since then, there have been more than 21 million incidences and 761 thousand casualties worldwide as of 16 August 2020. One of the epidemiological characteristics of COVID-19 is that its symptoms and fatality rates vary with the ages of the infected individuals. This study aims at assessing the impact of social

Modeling and SimulationMathematics
8
Article|21 citations·2018
Effects of climate change on Plasmodium vivax malaria transmission dynamics: A mathematical modeling approach
Jung Eun Kim, Yongin Choi, Chang Hyeong Lee
SJR Q1Applied Mathematics and Computation
Public Health, Environmental and Occupational HealthMedicine
9
Article|17 citations·2009
A reduction method for multiple time scale stochastic reaction networks
Chang Hyeong Lee, Roger Lui
SJR Q2Journal of Mathematical Chemistry
Molecular BiologyBiochemistry, Genetics and Molecular Biology
10
Article|16 citations·2016
Stochastic methods for epidemic models: An application to the 2009 H1N1 influenza outbreak in Korea
Hyojung Lee, Sunmi ‍Lee, Chang Hyeong Lee
SJR Q1Applied Mathematics and ComputationOA
Modeling and SimulationMathematics
11
Article|15 citations·2012
An analytical approach to solutions of master equations for stochastic nonlinear reactions
Chang Hyeong Lee, Pilwon Kim
SJR Q2Journal of Mathematical Chemistry
Molecular BiologyBiochemistry, Genetics and Molecular Biology
12
Article|12 citations·2018
Epidemic Spreading in Complex Networks with Resilient Nodes: Applications to FMD
Pilwon Kim, Chang Hyeong Lee
SJR Q1ComplexityOA

At the outbreak of the animal epidemic disease, farms that recover quickly from partially infected state can delay or even suppress the wide spreading of the infection over farm networks. In this work, we focus on how the spatial transmission of the infection is affected by both factors, the topology of networks and the internal resilience mechanism of nodes. We first develop an individual farm model to examine the influence of initial number of infected individuals and vaccination rate on the t

Agronomy and Crop ScienceAgricultural and Biological Sciences
13
Article|11 citations·2022
The economic impact of COVID-19 interventions: A mathematical modeling approach
Jung Eun Kim, Heejin Choi, Yongin Choi, Chang Hyeong Lee
SJR Q1Frontiers in Public HealthOA

Prior to vaccination or drug treatment, non-pharmaceutical interventions were almost the only way to control the coronavirus disease 2019 (COVID-19) epidemic. After vaccines were developed, effective vaccination strategies became important. The prolonged COVID-19 pandemic has caused enormous economic losses worldwide. As such, it is necessary to estimate the economic effects of control policies, including non-pharmaceutical interventions and vaccination strategies. We estimated the costs associa

Modeling and SimulationMathematics
14
Article|11 citations·2013
A Moment Closure Method for Stochastic Chemical Reaction Networks with General Kinetics
Chang Hyeong Lee
Scholarworks@UNIST (Ulsan National Institute of Science and Technology)OA

The moment closure method is an approximation method for describing the stochastic dynamics of chemical reaction networks. In this paper we develop a moment closure method for stochastically modeled chemical reaction networks with general reaction rate laws including mass action, rational and fractional rate laws. Based on the Taylor formula of the reaction rate functions and truncation at a certain order of moment, we find a closed system of equations for the moments. We show the accuracy and e

Molecular BiologyBiochemistry, Genetics and Molecular Biology
15
Article|7 citations·2020
A Two-Patch Mathematical Model for Temperature-Dependent Dengue Transmission Dynamics
Jung Kim, Yongin Choi, James S. Kim, Sunmi ‍Lee, Chang Hyeong Lee
SJR Q2ProcessesOA

Dengue fever has been a threat to public health not only in tropical regions but non-tropical regions due to recent climate change. Motivated by a recent dengue outbreak in Japan, we develop a two-patch model for dengue transmission associated with temperature-dependent parameters. The two patches represent a park area where mosquitoes prevail and a residential area where people live. Based on climate change scenarios, we investigate the dengue transmission dynamics between the patches. We emplo

Public Health, Environmental and Occupational HealthMedicine

Research Areas

Molecular BiologyEpidemiologyModeling and SimulationPublic Health, Environmental and Occupational HealthHepatologySurgery

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