Effect of cross-immunity on the transmission dynamics of two strains of dengue

• Published in: International journal of computer mathematics Vol. 87; no. 10; pp. 2361 - 2384
• Main Authors: Garba, S. M., Gumel, A. B.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.08.2010; Taylor & Francis Ltd
• Subjects: Algebra; Asymptotic properties; co-existence equilibria; Computer simulation; dengue disease; Dengue fever; Disease transmission; Dynamics; Epidemics; Epidemiology; Immunology; Mathematical models; mosquitoes; Numerical analysis; Oscillations; Reproduction; reproduction number; Simulation; stability; Strain; Unity
• ISSN: 0020-7160; 1029-0265
• DOI: 10.1080/00207160802660608

A deterministic model for the transmission dynamics of two strains of dengue disease is presented. The model, consisting of mutually exclusive epidemiological compartments representing the human and vector dynamics, has a locally asymptotically stable, disease-free equilibrium whenever the maximum of the associated reproduction numbers of the two strains is less than unity. The model can have infinitely many co-existence equilibria if infection with one strain confers complete cross-immunity against the other strain and the associated reproduction number of each strain exceeds unity. On the other hand, if infection with one strain confers partial immunity against the other strain, disease elimination, competitive exclusion or co-existence of the two strains can occur. The effect of seasonality on dengue transmission dynamics is explored using numerical simulations, where it is shown that the oscillation pattern differs between the strains, depending on the degree of the cross-immunity between the strains.