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Using species distribution models to optimize vector control in the framework of the tsetse eradication campaign in Senegal [texte imprimé] / A. H. Dicko, Auteur ; R. Lancelot, Auteur ; Mor Talla Seck, Auteur ; L Guerrini, Auteur ; B. Sall, Auteur ; M Lo, Auteur ; M J B Vreysen, Auteur ; T Lefrançois, Auteur ; W.M. Fonta, Auteur ; S.L. Peck, Auteur ; Jérémy Bouyer, Auteur . - Dakar (PRH, Sénégal) : ISRA/LNERV, 2014 . - 12p. Langues : Anglais ( eng) Catégories : | SCIENCES, PRODUCTION ET PROTECTION ANIMALES
| Mots-clés : | Espèce, Model de distribution, Système de Contrôle, Éradication du Tsetse, Campagne au Sénégal | Index. décimale : | L751-Programme et méthodes de lutte | Résumé : | Tsetse flies are vectors of human and animal trypanosomoses in
sub-Saharan Africa and are the target of the Pan African Tsetse
and Trypanosomiasis Eradication Campaign (PATTEC). Glossina
palpalis gambiensis (Diptera: Glossinidae) is a riverine species that
is still present as an isolated metapopulation in the Niayes area of
Senegal. It is targeted by a national eradication campaign combining
a population reduction phase based on insecticide-treated targets
(ITTs) and cattle and an eradication phase based on the sterile
insect technique. In this study, we used species distribution models
to optimize control operations. We compared the probability of
the presence of G. p. gambiensis and habitat suitability using a regularized
logistic regression and Maxent, respectively. Both models
performed well, with an area under the curve of 0.89 and 0.92,
respectively. Only the Maxent model predicted an expert-based
classification of landscapes correctly. Maxent predictions were
therefore used throughout the eradication campaign in the Niayes
to make control operations more efficient in terms of deployment
of ITTs, release density of sterile males, and location of monitoring
traps used to assess program progress. We discuss how the models’
results informed about the particular ecology of tsetse in the
target area. Maxent predictions allowed optimizing efficiency and
cost within our project, and might be useful for other tsetse control
campaigns in the framework of the PATTEC and, more generally,
other vector or insect pest control programs. |
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ZV0170067 | L751- DIC | Article scientifique | LNERV | Rayons | Exclu du prêt |
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Journal of medical entomology. Stratified Entomological Sampling in Preparation for an Area-Wide Integrated Pest Management Program: The Example of Glossina palpalis gambiensis (Diptera: Glossinidae) in the Niayes of Senegal [texte imprimé] / Jérémy Bouyer, Auteur ; Mor Talla Seck, Auteur ; B. Sall, Auteur ; E.Y. Ndiaye, Auteur ; L Guerrini, Auteur ; M J B Vreysen, Auteur . - Dakar (PRH, Sénégal) : ISRA/LNERV, 2010 . - 10p. : Vol. 47, no. 4. Langues : Anglais ( eng) Catégories : | SCIENCES, PRODUCTION ET PROTECTION ANIMALES
| Mots-clés : | Échantillonnage, Contrôle de Vecteur, Tsetse, Afrique, Animal, trypanosomiase, Niayes du Sénégal | Index. décimale : | L731-Maladies parasitaires des ruminants, Symptomatologie et dégâts | Résumé : | The riverine tsetse species Glossina palpalis gambiensis Vanderplank 1949 (Diptera:
Glossinidae) inhabits riparian forests along river systems in West Africa. The government of Senegal has
embarked on a project to eliminate this tsetse species, and African animal trypanosomoses, from the Niayes
area usinganarea-wideintegrated pestmanagementapproach.AstratiÞedentomologicalsamplingstrategy
was therefore developed using spatial analytical tools and mathematical modeling. A preliminary phytosociological
census identiÞed eight types of suitable habitat, which could be discriminated from LandSat
7ETMsatellite images and denominated wet areas. At the end of March 2009, 683 unbaited Vavoua traps
had been deployed, and the observed infested area in the Niayes was 525 km2. In the remaining area, a
mathematical model was used to assess the risk that ßies were present despite a sequence of zero catches.
Theanalysisshowedthat this riskwasabove0.05 in19%of this area that willbeconsideredas infestedduring
the control operations. The remote sensing analysis that identiÞed the wet areas allowed a restriction of the
area to be surveyed to 4% of the total surface area (7,150 km2), whereas the mathematical model provided
an efÞcient method to improve the accuracy and the robustness of the sampling protocol. The Þnal size
of the control area will be decided basedonthe entomological collection data. This entomological sampling
procedure might be used for other vector or pest control scenarios. |
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Exemplaires
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ZV0170063 | L731- BOU | Article scientifique | LNERV | Rayons | Exclu du prêt |
Documents numériques
Cliquer pour voir pdfURL | | |