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    Ndondo, A. M. Munganga, J. M. W. Mwambakana, J. N. Saad-Roy, C. M. van den Driessche, P. and Walo, R. O. 2016. Analysis of a model of gambiense sleeping sickness in humans and cattle. Journal of Biological Dynamics, Vol. 10, Issue. 1, p. 347.


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    Hamidou Soumana, Illiassou Loriod, Béatrice Ravel, Sophie Tchicaya, Bernadette Simo, Gustave Rihet, Pascal and Geiger, Anne 2014. The transcriptional signatures of Sodalis glossinidius in the Glossina palpalis gambiensis flies negative for Trypanosoma brucei gambiense contrast with those of this symbiont in tsetse flies positive for the parasite: Possible involvement of a Sodalis-hosted prophage in fly Trypanosoma refractoriness?. Infection, Genetics and Evolution, Vol. 24, p. 41.


    Kajunguri, Damian Hargrove, John W. Ouifki, Rachid Mugisha, J. Y. T. Coleman, Paul G. and Welburn, Susan C. 2014. Modelling the Use of Insecticide-Treated Cattle to Control Tsetse and Trypanosoma brucei rhodesiense in a Multi-host Population. Bulletin of Mathematical Biology, Vol. 76, Issue. 3, p. 673.


    Aksoy, Serap Caccone, Adalgisa Galvani, Alison P. and Okedi, Loyce M. 2013. Glossina fuscipes populations provide insights for human African trypanosomiasis transmission in Uganda. Trends in Parasitology, Vol. 29, Issue. 8, p. 394.


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A global sensitivity analysis for African sleeping sickness

  • STEPHEN DAVIS (a1) (a2), SERAP AKSOY (a1) and ALISON GALVANI (a1)
  • DOI: http://dx.doi.org/10.1017/S0031182010001496
  • Published online: 16 November 2010
Abstract
SUMMARY

African sleeping sickness is a parasitic disease transmitted through the bites of tsetse flies of the genus Glossina. We constructed mechanistic models for the basic reproduction number, R0, of Trypanosoma brucei gambiense and Trypanosoma brucei rhodesiense, respectively the causative agents of West and East African human sleeping sickness. We present global sensitivity analyses of these models that rank the importance of the biological parameters that may explain variation in R0, using parameter ranges based on literature, field data and expertize out of Uganda. For West African sleeping sickness, our results indicate that the proportion of bloodmeals taken from humans by Glossina fuscipes fuscipes is the most important factor, suggesting that differences in the exposure of humans to tsetse are fundamental to the distribution of T. b. gambiense. The second ranked parameter for T. b. gambiense and the highest ranked for T. b. rhodesiense was the proportion of Glossina refractory to infection. This finding underlines the possible implications of recent work showing that nutritionally stressed tsetse are more susceptible to trypanosome infection, and provides broad support for control strategies in development that are aimed at increasing refractoriness in tsetse flies. We note though that for T. b. rhodesiense the population parameters for tsetse – species composition, survival and abundance – were ranked almost as highly as the proportion refractory, and that the model assumed regular treatment of livestock with trypanocides as an established practice in the areas of Uganda experiencing East African sleeping sickness.

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*Corresponding author: School of Mathematical and Geospatial Sciences, Building 8, Level 9, Room 67, RMIT University, GPO Box 2476V, Melbourne, Victoria 3000, Australia. Tel: +61 (0)3 9925 2278. Fax: +61 (0)3 9925 2454. E-mail: stephen.davis@rmit.edu.au
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