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Competitive exclusion in a vector-host model for the dengue fever
Z Feng1, J X Velasco-Hernández
1Biometrics Unit, Cornell University, Ithaca, NY 14853-7801, USA.
Journal of Mathematical Biology
|May 1, 1997
Summary
This study models dengue fever dynamics with two pathogen strains, revealing a saddle point allowing long-term coexistence of strains. Competitive exclusion arises from superinfection and frequency-dependent transmission.
Area of Science:
- Epidemiology
- Mathematical Biology
- Virology
Background:
- Dengue fever is a significant vector-borne disease caused by four serotypes of the dengue virus.
- Each serotype induces host immunity, but cross-immunity to other serotypes is often partial and temporary.
- Understanding the dynamics of competing pathogen strains is crucial for disease control.
Purpose of the Study:
- To develop and analyze a mathematical model for the population dynamics of a vector-transmitted disease with two pathogen strains.
- To investigate the conditions that permit the coexistence of competing strains, using dengue fever as a case study.
- To explore epidemiological trends and the factors influencing competitive exclusion.
Main Methods:
- A system of differential equations was formulated to model the SIR (Susceptible-Infectious-Recovered) dynamics.
- The model incorporates temporary cross-immunity between two viral strains.
- Numerical simulations were employed to support analytical findings on equilibria and stability.
Main Results:
- The model demonstrates an unstable endemic equilibrium (saddle point), leading to long transient periods where both strains cocirculate.
- Conditions for the asymptotic stability of different equilibria were analyzed.
- The study identified the interplay between host superinfection and frequency-dependent contact rates as key drivers of competitive exclusion.
Conclusions:
- The mathematical model successfully reproduces epidemic dynamics observed in dengue fever.
- Temporary cross-immunity and host superinfection, coupled with frequency-dependent transmission, can lead to the long-term cocirculation of competing pathogen strains.
- The findings provide insights into the complex epidemiological dynamics of diseases like dengue and inform strategies for disease management.