title: Control strategies for sleeping sickness in Central Africa: a model-based approach.
abstract: Vector control and the detection (followed by treatment) of infected individuals are the two methods currently available for the control of sleeping sickness. The basic reproduction rate of a compartmental model is used to analyse and compare the two strategies. The efficiency of each strategy will depend on two epidemiologic parameters; the intrinsic contamination rate Q (closely related to the index of new contaminations) that captures the potential spread of the disease, and the intrinsic removal rate from the first stage (intrinsic to the particular trypanosome strain and to the population's susceptibility). The model shows that when the intrinsic removal rate is low (that is, when there is a long first stage characteristic of an endemic situation) the detection of sick individuals is more efficient than vector control. The situation is reversed when the removal rate is high (in an epidemic situation). The conclusions of the analysis are shown to be in general agreement with results obtained in two different sleeping sickness foci of Central Africa.
authors.affiliation: Department of Applied Mathematics (IPRA), University of Pau, France.
authors.forename: M
authors.initials: M
authors.lastname: Artzrouni
authors.forename: J P
authors.initials: JP
authors.lastname: Gouteux
mesh_terms: D000350:Africa, Central; D000818:Animals; D006801:Humans; D007300:Insect Control; D008962:Models, Theoretical; D014347:Trypanosoma brucei gambiense; D014353:Trypanosomiasis, African / Q000517:prevention & control*