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4 "Mathematical model"
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Original Articles
A Differential Equation Model for the Dynamics of Youth Gambling
Tae Sug Do, Young S. Lee
Osong Public Health Res Perspect. 2014;5(4):233-241.   Published online August 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.06.008
  • 2,150 View
  • 12 Download
  • 7 Citations
AbstractAbstract PDF
Objectives
We examine the dynamics of gambling among young people aged 16–24 years, how prevalence rates of at-risk gambling and problem gambling change as adolescents enter young adulthood, and prevention and control strategies.
Methods
A simple epidemiological model is created using ordinary nonlinear differential equations, and a threshold condition that spreads gambling is identified through stability analysis. We estimate all the model parameters using a longitudinal prevalence study by Winters, Stinchfield, and Botzet to run numerical simulations. Parameters to which the system is most sensitive are isolated using sensitivity analysis.
Results
Problem gambling is endemic among young people, with a steady prevalence of approximately 4–5%. The prevalence of problem gambling is lower in young adults aged 18–24 years than in adolescents aged 16–18 years. At-risk gambling among young adults has increased. The parameters to which the system is most sensitive correspond to primary prevention.
Conclusion
Prevention and control strategies for gambling should involve school education. A mathematical model that includes the effect of early exposure to gambling would be helpful if a longitudinal study can provide data in the future.

Citations

Citations to this article as recorded by  
  • Whose Responsibility Is It to Prevent or Reduce Gambling Harm? A Mapping Review of Current Empirical Research
    Murat Akçayır, Fiona Nicoll, David G. Baxter, Zachary S. Palmer
    International Journal of Mental Health and Addicti.2022; 20(3): 1516.     CrossRef
  • Mathematical Modeling of the Population Dynamics of Age-Structured Criminal Gangs with Correctional Intervention Measures
    Oluwasegun M. Ibrahim, Daniel Okuonghae, Monday N.O. Ikhile
    Applied Mathematical Modelling.2022; 107: 39.     CrossRef
  • Emerging Gambling Problems and Suggested Interventions: A Systematic Review of Empirical Research
    Murat Akçayır, Fiona Nicoll, David G. Baxter
    Journal of Gambling Studies.2022;[Epub]     CrossRef
  • Optimal control model for criminal gang population in a limited-resource setting
    Oluwasegun M. Ibrahim, Daniel Okuonghae, Monday N. O. Ikhile
    International Journal of Dynamics and Control.2022;[Epub]     CrossRef
  • Roll the Dice
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(5): 243.     CrossRef
  • Summing Up Again
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(4): 177.     CrossRef
  • Optimal Implementation of Intervention Strategies for Elderly People with Ludomania
    Byul Nim Kim, M.A. Masud, Yongkuk Kim
    Osong Public Health and Research Perspectives.2014; 5(5): 266.     CrossRef
Role of Active and Inactive Cytotoxic Immune Response in Human Immunodeficiency Virus Dynamics
Hernan Dario Toro Zapata, Angelica Graciela Caicedo Casso, Derdei Bichara, Sunmi Lee
Osong Public Health Res Perspect. 2014;5(1):3-8.   Published online February 28, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.01.001
  • 2,132 View
  • 25 Download
  • 8 Citations
AbstractAbstract PDF
Objectives
Mathematical models can be helpful to understand the complex dynamics of human immunodeficiency virus infection within a host. Most of work has studied the interactions of host responses and virus in the presence of active cytotoxic immune cells, which decay to zero when there is no virus. However, recent research highlights that cytotoxic immune cells can be inactive but never be depleted.
Methods
We propose a mathematical model to investigate the human immunodeficiency virus dynamics in the presence of both active and inactive cytotoxic immune cells within a host. We explore the impact of the immune responses on the dynamics of human immunodeficiency virus infection under different disease stages.
Results
Standard mathematical and numerical analyses are presented for this new model. Specifically, the basic reproduction number is computed and local and global stability analyses are discussed.
Conclusion
Our results can give helpful insights when designing more effective drug schedules in the presence of active and inactive immune responses.

Citations

Citations to this article as recorded by  
  • A Multi-Scale Model for the Spread of HIV in a Population Considering the Immune Status of People
    Sol de Amor Vásquez-Quintero, Hernán Darío Toro-Zapata, Dennis Alexánder Prieto-Medellín
    Processes.2021; 9(11): 1924.     CrossRef
  • Qualitative investigation of cytolytic and noncytolytic immune response in an HBV model
    John G. Alford, Stephen A. McCoy
    Involve, a Journal of Mathematics.2020; 13(3): 455.     CrossRef
  • Mathematical Model Describing HIV Infection with Time-Delayed CD4 T-Cell Activation
    Hernán Darío Toro-Zapata, Carlos Andrés Trujillo-Salazar, Edwin Mauricio Carranza-Mayorga
    Processes.2020; 8(7): 782.     CrossRef
  • The Role of Immune Response in Optimal HIV Treatment Interventions
    Hernán Toro-Zapata, Angélica Caicedo-Casso, Sunmi Lee
    Processes.2018; 6(8): 102.     CrossRef
  • Evaluación teórica de estrategias óptimas y sub-óptimas de terapia antirretroviral para el control de la infección por VIH
    Hernán Darío Toro-Zapata, Carlos Andrés Trujillo-Salazar, Dennis Alexánder Prieto-Medellín
    Revista de Salud Pública.2018; 20(1): 117.     CrossRef
  • Summing Up Again
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(4): 177.     CrossRef
  • Roll the Dice
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(5): 243.     CrossRef
  • Journal Publishing: Never Ending Saga
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(1): 1.     CrossRef
A Note on Obesity as Epidemic in Korea
Mun Seok Kim, Chaeshin Chu, Yongkuk Kim
Osong Public Health Res Perspect. 2011;2(2):135-140.   Published online June 30, 2011
DOI: https://doi.org/10.1016/j.phrp.2011.08.004
  • 2,039 View
  • 13 Download
  • 9 Citations
AbstractAbstract PDF
Objective To analyze the incidence of obesity in adults aged 19–59 years in Korea and predict its trend in the future.
Methods
We considered a two-compartmental deterministic mathematical model Susceptible-Infected-Susceptible (SIS), a system of difference equations, to predict the evolution of obesity in the population and to propose strategies to reduce its incidence.
Results
The prevention strategy on normal-weight individuals produced a greater improvement than that produced by treatment strategies.
Conclusions
Mathematical model sensitivity analysis suggests that obesity prevention strategies are more effective than obesity treatment strategies in controlling the increase of adult obesity in Korea.

Citations

Citations to this article as recorded by  
  • Quality Attributes of Fat-free Sausage Made of Chicken Breast and Liquid Egg White
    Hyun Jung Lee, Cheorun Jo, Ki Chang Nam, Kyung Haeng Lee
    The Korean Journal of Food And Nutrition.2016; 29(4): 449.     CrossRef
  • Optimal Intervention Strategies for the Spread of Obesity
    Chunyoung Oh, Masud M A
    Journal of Applied Mathematics.2015; 2015: 1.     CrossRef
  • Summing Up Again
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(4): 177.     CrossRef
  • Optimal Implementation of Intervention to Control the Self-harm Epidemic
    Byul Nim Kim, M.A. Masud, Yongkuk Kim
    Osong Public Health and Research Perspectives.2014; 5(6): 315.     CrossRef
  • A NOTE ON THE OBESITY AS AN EPIDEMIC
    Chunyoung Oh
    Honam Mathematical Journal.2014; 36(1): 131.     CrossRef
  • Journal Publishing: Never Ending Saga
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(1): 1.     CrossRef
  • Roll the Dice
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(5): 243.     CrossRef
  • Years of Epidemics (2009–2011): Pandemic Influenza and Foot-and-Mouth Disease Epidemic in Korea
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2013; 4(3): 125.     CrossRef
  • A Tale of Two Fields: Mathematical and Statistical Modeling of Infectious Diseases
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2011; 2(2): 73.     CrossRef
Mathematical Modeling of Vibrio vulnificus Infection in Korea and the Influence of Global Warming
Chaeshin Chu, Younghae Do, Yongkuk Kim, Yasuhisa Saito, Sun-Dong Lee, Haemo Park, Jong-Koo Lee
Osong Public Health Res Perspect. 2011;2(1):51-58.   Published online June 30, 2011
DOI: https://doi.org/10.1016/j.phrp.2011.05.002
  • 2,149 View
  • 13 Download
  • 10 Citations
AbstractAbstract PDF
Objectives
To investigate the possible link between Vibrio vulnificus population size in seawater and water temperature.
Methods
We collected incidence and water temperature data in coastal regions of Korea and constructed a mathematical model that consisted of three classes; susceptible fish, infected fish available to humans, and infected humans.
Results
We developed a mathematical model to connect V. vulnificus incidence with water temperature using estimated bacterial population sizes and actual coastal water temperatures.
Conclusion
Increased V. vulnificus population sizes in marine environments may increase the risk of infection in people who eat at coastal restaurants in Korea. Furthermore, we estimated the near-future number of infected patients using our model, which will help to establish a public-health policy to reduce the disease burden.

Citations

Citations to this article as recorded by  
  • Impact of the future coastal water temperature scenarios on the risk of potential growth of pathogenic Vibrio marine bacteria
    Habiba Ferchichi, André St-Hilaire, Taha B.M.J. Ouarda, Benoît Lévesque
    Estuarine, Coastal and Shelf Science.2021; 250: 107094.     CrossRef
  • Effect of Seawater Temperature Increase on the Occurrence of Coastal Vibrio vulnificus Cases: Korean National Surveillance Data from 2003 to 2016
    Jungsook Kim, Byung Chul Chun
    International Journal of Environmental Research an.2021; 18(9): 4439.     CrossRef
  • Spatiotemporal Dynamics of Vibrio spp. within the Sydney Harbour Estuary
    Nachshon Siboni, Varunan Balaraju, Richard Carney, Maurizio Labbate, Justin R. Seymour
    Frontiers in Microbiology.2016;[Epub]     CrossRef
  • Genotypic Diversity and Population Structure of Vibrio vulnificus Strains Isolated in Taiwan and Korea as Determined by Multilocus Sequence Typing
    Hye-Jin Kim, Jae-Chang Cho, Paul J Planet
    PLOS ONE.2015; 10(11): e0142657.     CrossRef
  • From canonical to non-canonical cyclic nucleotides as second messengers: Pharmacological implications
    Roland Seifert, Erich H. Schneider, Heike Bähre
    Pharmacology & Therapeutics.2015; 148: 154.     CrossRef
  • Journal Publishing: Never Ending Saga
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(1): 1.     CrossRef
  • Roll the Dice
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(5): 243.     CrossRef
  • Summing Up Again
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(4): 177.     CrossRef
  • Years of Epidemics (2009–2011): Pandemic Influenza and Foot-and-Mouth Disease Epidemic in Korea
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2013; 4(3): 125.     CrossRef
  • The Road Less Traveled
    Chaeshin Chu
    Osong Public Health and Research Perspectives.2011; 2(1): 1.     CrossRef

PHRP : Osong Public Health and Research Perspectives