Literature DB >> 8980586

Control strategies for sleeping sickness in Central Africa: a model-based approach.

M Artzrouni1, J P Gouteux.   

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.

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Year:  1996        PMID: 8980586     DOI: 10.1111/j.1365-3156.1996.tb00107.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  9 in total

1.  Prevalence and under-detection of gambiense human African trypanosomiasis during mass screening sessions in Uganda and Sudan.

Authors:  Francesco Checchi; Andrew P Cox; François Chappuis; Gerardo Priotto; Daniel Chandramohan; Daniel T Haydon
Journal:  Parasit Vectors       Date:  2012-08-07       Impact factor: 3.876

2.  Implications of Heterogeneous Biting Exposure and Animal Hosts on Trypanosomiasis brucei gambiense Transmission and Control.

Authors:  Chris M Stone; Nakul Chitnis
Journal:  PLoS Comput Biol       Date:  2015-10-01       Impact factor: 4.475

3.  The impact of vector migration on the effectiveness of strategies to control gambiense human African trypanosomiasis.

Authors:  Martial L Ndeffo-Mbah; Abhishek Pandey; Katherine E Atkins; Serap Aksoy; Alison P Galvani
Journal:  PLoS Negl Trop Dis       Date:  2019-12-05

Review 4.  The natural progression of Gambiense sleeping sickness: what is the evidence?

Authors:  Francesco Checchi; João A N Filipe; Michael P Barrett; Daniel Chandramohan
Journal:  PLoS Negl Trop Dis       Date:  2008-12-23

5.  Identifying transmission cycles at the human-animal interface: the role of animal reservoirs in maintaining gambiense human african trypanosomiasis.

Authors:  Sebastian Funk; Hiroshi Nishiura; Hans Heesterbeek; W John Edmunds; Francesco Checchi
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

6.  Estimates of the duration of the early and late stage of gambiense sleeping sickness.

Authors:  Francesco Checchi; João A N Filipe; Daniel T Haydon; Daniel Chandramohan; François Chappuis
Journal:  BMC Infect Dis       Date:  2008-02-08       Impact factor: 3.090

7.  Is vector control needed to eliminate gambiense human African trypanosomiasis?

Authors:  Philippe Solano; Steve J Torr; Mike J Lehane
Journal:  Front Cell Infect Microbiol       Date:  2013-07-31       Impact factor: 5.293

8.  Determinants of Human African Trypanosomiasis Elimination via Paratransgenesis.

Authors:  Jennifer A Gilbert; Jan Medlock; Jeffrey P Townsend; Serap Aksoy; Martial Ndeffo Mbah; Alison P Galvani
Journal:  PLoS Negl Trop Dis       Date:  2016-03-08

9.  Forecasting Human African Trypanosomiasis Prevalences from Population Screening Data Using Continuous Time Models.

Authors:  Harwin de Vries; Albert P M Wagelmans; Epco Hasker; Crispin Lumbala; Pascal Lutumba; Sake J de Vlas; Joris van de Klundert
Journal:  PLoS Comput Biol       Date:  2016-09-22       Impact factor: 4.475

  9 in total

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