Published in Issue 2012-07-13
How to Cite
Mushayabasa, S., & Bhunu, C. P. (2012). Modelling the effects of chemotherapy and relapse on the transmission dynamics of leprosy. Mathematical Sciences, 6(1). https://doi.org/10.1186/2251-7456-6-12
HTML views: 6
PDF views: 83
Abstract
Abstract Purpose Although there is a declining trend in the global burden of leprosy, there are 15 countries in Asia and Africa which account for 94% of the global total of the new-case detection rate. Here, we assess the impact of different intervention strategies aimed at leprosy eradication through targeting non-symptomatic and symptomatic individuals. Methods We develop a mathematical model of leprosy transmission and treatment amongst symptomatic and non-symptomatic, in order to investigate the effects of leprosy relapse cases, case finding of non-symptomatic individuals and compliance to therapy of individuals administered with treatment. Comparison theory has been qualitatively used to analyze the global stability of the disease-free equilibrium. With the aid of centre manifold theory, the local stability of the endemic equilibrium has been investigated. Population-level effects of increased case findings and high treatment rate (guaranteed by compliance and completion of therapy via educational campaigns) are evaluated through numerical simulations and presented in support of the analytical results. Results Comprehensive and qualitative mathematical analysis of the model reveals that, the disease-free equilibrium is globally, asymptotically stable whenever the reproductive number is less than unity. Further, we have established that the model has a locally, asymptotically stable endemic equilibrium when the reproductive number is greater, but close to unity. Numerical simulation suggests that case finding of non-symptomatic leprosy carriers, greater that 40% is necessary for reducing leprosy prevalence and maybe useful on attaining leprosy eradication. Conclusions At its best, the study suggests that high level of case finding targeting non-symptomatic and symptomatic individuals, together with high level of compliance by individuals on treatment, may have a substantial effect on controlling leprosy relapses and possible may assist on attaining leprosy eradication.Keywords
- Leprosy,
- Disease relapse,
- Case finding,
- Treatment compliance,
- Stability
References
- Ishii et al. (2000) Survey of newly diagnosed leprosy patients in native and foreign residents of Japan (pp. 172-176)
- WHO Media centre: Fact sheet. no. 101. . Accessed 23 April 2010.
- http://www.who.int/mediacentre/factsheets/fs101/en/index.html
- Lietman T, Porco T, Blower S: Leprosy and tuberculosis: the epidemiological consequences of cross-immunity.
- Am. J. Public Health
- , 87(12):
- World Health OrganizationForty-fourth World Health Assembly - Leprosy Resolution, WHA 44.9. WHO, Geneva(1991) Forty-fourth
- Unknown (2007) Global leprosy situation (pp. 225-232)
- Anderson and May (1991) Oxford University Press
- Bailey (1975)
- Brauer and Castillo-Chavez (2001) Mathematical Models in, Population Biology and Epidemiology Springer-Verlag
- Rao (2008) A study on non-adherence to MDT among leprosy patient (pp. 149-154)
- Wares et al. (2003) Non-adherence to tuberculosis treatment in the eastern Tarai of Nepal (pp. 327-35)
- Fox (1961) Self administration of medicaments. A review of published work and a study of the problems (pp. 307-331)
- Fox (1963) Ambulatory chemotherapy in a developing country: clinical and epidemiological studies (pp. 28-149)
- Huikeshoven (1981) Patient compliance with dapsone administration in leprosy (pp. 228-258)
- van den Driessche and Watmough (2002) Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission (pp. 29-48) https://doi.org/10.1016/S0025-5564(02)00108-6
- Lakshmikantham et al. (1989) Stability analysis of nonlinear systems Marcel Dekker
- Castillo-Chavez and Song (2004) Dynamical models of tuberculosis and their applications (pp. 361-404) https://doi.org/10.3934/mbe.2004.1.361
- Mushayabasa et al. (2011) Modeling gonorrhea and HIV co-interaction (pp. 27-37) https://doi.org/10.1016/j.biosystems.2010.09.008
- Mushayabasa et al. (2011) Understanding non-compliance with, WHO multidrug therapy among leprosy patients: insights from a mathematical model
- Ishii (2003) Recent advances in the treatment of leprosy 9(2)
- Lockwood (2002) Leprosy elimination—a virtual phenomenon or a reality? (pp. 1516-1518) https://doi.org/10.1136/bmj.324.7352.1516
- Hastings (1994) Churchill Livingstone
- Hethcote (2000) The mathematics of infectious diseases (pp. 599-653) https://doi.org/10.1137/S0036144500371907
10.1186/2251-7456-6-12