Abstract
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.
Original language | English |
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Pages (from-to) | 135-140 |
Number of pages | 6 |
Journal | Osong Public Health and Research Perspectives |
Volume | 2 |
Issue number | 2 |
DOIs | |
State | Published - Sep 2011 |
Keywords
- Epidemic
- Mathematical modeling
- Obesity
- Stability