全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Transmission Dynamics of Lymphatic Filariasis: A Mathematical Approach

DOI: 10.5402/2012/930130

Full-Text   Cite this paper   Add to My Lib

Abstract:

An epidemiological model for the spread of lymphatic filariasis, a mosquito-borne infection, is developed and analysed. The epidemic thresholds known as the reproduction number and equilibria for the model are determined and stabilities analysed. Results from the analysis of the reproduction number suggest that treatment will somehow contribute to a reduction in lymphatic filariasis cases, but what it does not show is the magnitude of the reduction, a part answered by the numerical simulations. Numerical simulations show that even when all lymphatic filariasis cases displaying elephantiasis symptoms are put on treatment it will not be able to eradicate the disease. This result suggests that effective control of lymphatic filariasis may lie in treatment for those displaying symptoms as well as chemoprophylaxis for the exposed. 1. Introduction Lymphatic filariasis, a debilitating disease, is one of the most prevalent and yet one of the most neglected tropical diseases with serious economic and social consequences [1, 2]. Lymphatic filariasis affects women, men and children of all ages. It is a mosquito-borne disease caused by tissue-dwelling nematodes of Brugia malayi, Brugia timori, and Wuchereria bancrofti species [1, 3] and is estimated to affect about 120 million people worldwide [4–6]. Wuchereria bancrofti is responsible for 90% of the cases and is found throughout the tropical and subtropical areas of the world; Brugia malayi is confined to southeast and eastern Asia; Brugia timori is found only in Timor and its adjacent islands [7]. Infection leads to lymphedema, a buildup of fluid due to impaired function of the lymph vessels, in only a small proportion people, even in areas of intense transmission [8], as most people with long-term infections are clinically asymptomatic. Recurrent bacterial infections in some lymphedema patients lead to elephantiasis [9]. Filarial parasites are a major cause of morbidity and therefore hinder socioeconomic growth in parts of Asia, Africa, and the Western Pacific [1, 10]. Despite improved knowledge of pathology of lymphatic filariasis and existence of the drugs diethylcarbamazine and albendazole necessary to treat lymphatic filariasis, it continues to be a major public health problem in tropical and subtropical countries. Lymphatic filariasis is more common in regions that have a higher incidence of poverty [11] making it a disease of the poor and serves as an indicator of underdevelopment [1]. Surveys in Ghana have indicated that bancroftian filariasis is present in most parts of the country with considerable

References

[1]  World Health Organization, “Lymphatic filariasis: the disease and its control,” Fifth Report of the World Health Organization Technical Report Series 821–871, World Health Organization Expert Committee on Filariasis, 1992.
[2]  J. H. F. Remme, P. de Raadt, and T. Godal, “Tropical health. The burden of tropical diseases,” Medical Journal of Australia, vol. 158, no. 7, pp. 465–469, 1993.
[3]  G. J. Weil and R. M. R. Ramzy, “Diagnostic tools for filariasis elimination programs,” Trends in Parasitology, vol. 23, no. 2, pp. 78–82, 2007.
[4]  E. Michael, D. A. P. Bundy, and B. T. Grenfell, “Re-assessing the global prevalence and distribution of lymphatic filariasis,” Parasitology, vol. 112, no. 4, pp. 409–428, 1996.
[5]  E. Michael and D. A. P. Bundy, “Global mapping of lymphatic filariasis,” Parasitology Today, vol. 13, no. 12, pp. 472–476, 1997.
[6]  A. J. Terhell, M. Haarbrink, A. van den Biggelaar, A. Mangali, E. Sartono, and M. Yazdanbakhsh, “Long-term follow-up of treatment with diethylcarbamazine on anti-filarial IgG4: dosage, compliance, and differential patterns in adults and children,” American Journal of Tropical Medicine and Hygiene, vol. 68, no. 1, pp. 33–39, 2003.
[7]  W. D. Melrose, “Lymphatic filariasis: new insights into an old disease,” International Journal for Parasitology, vol. 32, no. 8, pp. 947–960, 2002.
[8]  K. T. Cuenco, M. E. Halloran, J. Louis-Charles, and P. J. Lammie, “A family study of lymphedema of the leg in a lymphatic filariasis-endemic area,” American Journal of Tropical Medicine and Hygiene, vol. 70, no. 2, pp. 180–184, 2004.
[9]  G. Dreyer, J. Nor?es, J. Figueredo-Silva, and W. F. Piessens, “Pathogenesis of lymphatic disease in bancroftian filariasis: a clinical perspective,” Parasitology Today, vol. 16, no. 12, pp. 544–548, 2000.
[10]  E. A. Ottesen and C. P. Ramachandran, “Lymphatic filariasis infection and disease: control strategies,” Parasitology Today, vol. 11, no. 4, pp. 129–131, 1995.
[11]  J. Z. G. Tan, “The elimination of lymphatic filariasis: a strategy for poverty alleviation and sustainable development-perspectives from the Philippines,” Filaria Journal, vol. 2, article 12, 2003.
[12]  M. A. Appawu, S. K. Dadzie, A. Baffoe-Wilmot, and M. D. Wilson, “Lymphatic filariasis in Ghana: entomological investigation of transmission dynamics and intensity in communities served by irrigation systems in the Upper East Region of Ghana,” Tropical Medicine and International Health, vol. 6, no. 7, pp. 511–516, 2001.
[13]  R. J. Smith and S. D. Hove-Musekwa, “Determining effective spraying periods to control malaria via indoor residual spraying in Sub-Saharan Africa,” Journal of Applied Mathematics and Decision Sciences, vol. 2008, Article ID 745463, 19 pages, 2008.
[14]  J. L. Aron, “Mathematical modeling of immunity to malaria,” Mathematical Biosciences, vol. 90, no. 1-2, pp. 385–396, 1988.
[15]  N. Chitnis, J. M. Cushing, and J. M. Hyman, “Bifurcation analysis of a mathematical model for malaria transmission,” SIAM Journal on Applied Mathematics, vol. 67, no. 1, pp. 24–45, 2006.
[16]  H. M. Yang, “Malaria transmission model for different levels of acquired immunity and temperature-dependent parameters (vector),” Revista de Saude Publica, vol. 34, no. 3, pp. 223–231, 2000.
[17]  H. M. Yang and M. U. Ferreira, “Assessing the effects of global warming and local social and economic conditions on the malaria transmission,” Revista de Saude Publica, vol. 34, no. 3, pp. 214–222, 2000.
[18]  G. A. Ngwa, “Modelling the dynamics of endemic malaria in growing populations,” Discrete and Continuous Dynamical Systems B, vol. 4, no. 4, pp. 1173–1202, 2004.
[19]  G. A. Ngwa and W. S. Shu, “A mathematical model for endemic malaria with variable human and mosquito populations,” Mathematical and Computer Modelling, vol. 32, no. 7-8, pp. 747–763, 2000.
[20]  S. Swaminathan, S. P. Pani, R. Ravi, K. Krishnamoorthy, and P. K. Das, “Mathematical models for lymphatic filariasis transmission and control: challenges and prospects,” Parasites and Vectors, vol. 1, article 2, 2008.
[21]  P. K. Das and S. Subramanian, “Modelling the epidemiology, transmission and control of lymphatic filariasis,” Annals of Tropical Medicine and Parasitology, vol. 96, pp. S153–164, 2002.
[22]  M. S. Chan, A. Srividya, R. A. Norman et al., “EPIFIL: a dynamic model of infection and disease in lymphatic filariasis,” American Journal of Tropical Medicine and Hygiene, vol. 59, no. 4, pp. 606–614, 1998.
[23]  R. A. Norman, M. S. Chan, A. Srividya et al., “EPIFIL: the development of an age-structured model for describing the transmission dynamics and control of lymphatic filariasis,” Epidemiology and Infection, vol. 124, no. 3, pp. 529–541, 2000.
[24]  A. P. Plaisier, S. Subramanian, P. K. Das et al., “The LYMFASIM simulation program for modeling lymphatic filariasis and its control,” Methods of Information in Medicine, vol. 37, no. 1, pp. 97–108, 1998.
[25]  J. Labadin, C. M. L. Kon, and S. F. S. Juan, “Deterministic malaria transmission model with acquired immunity,” Proceedings of the World Congress on Engineering and Computer Science, October 2009.
[26]  P. van den Driessche and J. Watmough, “Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission,” Mathematical Biosciences, vol. 180, pp. 29–48, 2002.
[27]  J. Carr, Applications Centre Manifold Theory, Springer, New York, NY, USA, 1981.
[28]  C. Castillo-Chavez and B. Song, “Dynamical models of tuberculosis and their applications,” Mathematical Biosciences and Engineering, vol. 1, no. 2, pp. 361–404, 2004.
[29]  O. Sharomi and A. B. Gumel, “Curtailing smoking dynamics: a mathematical modeling approach,” Applied Mathematics and Computation, vol. 195, no. 2, pp. 475–499, 2008.
[30]  S. M. Blower and H. Dowlatabadi, “Sensitivity and uncertainty analysis of complex models of disease trans- mission: an HIV model, as an example,” International Statistical Review, vol. 2, pp. 229–243, 1994.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133