The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

Sogoba, N. and Vounatsou, P. and Bagayoko, M.M. and Doumbia, S. and Dolo, G. and Gosoniu, L. and Traore, S.F. and Toure, Y.T. and Smith, T. (2007) The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali. Geospatial health , 1 (2). pp. 213-222. ISSN 1970-7096

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Abstract

Variations in the biology and ecology and the high level of genetic polymorphism of malaria vectors in Africa highlight the value of mapping their spatial distribution to enhance successful implementation of integrated vector management. The objective of this study was to collate data on the relative frequencies of Anopheles gambiae s.s. and An. arabiensis mosquitoes in Mali, to assess their association with climate and environmental covariates, and to produce maps of their spatial distribution. Bayesian geostatistical logistic regression models were fitted to identify environmental determinants of the relative frequencies of An. gambiae s.s. and An. arabiensis species and to produce smooth maps of their geographical distribution. The frequency of An. arabiensis was positively associated with the normalized difference vegetation index, the soil water storage index, the maximum temperature and the distance to water bodies. It was negatively associated with the minimum temperature and rainfall. The predicted map suggests that, in West Africa, An. arabiensis is concentrated in the drier savannah areas, while An. gambiae s.s. prefers the southern savannah and land along the rivers, particularly the inner delta of Niger. Because the insecticide knockdown resistance (kdr) gene is reported only in An. gambiae s.s. in Mali, the maps provide valuable information for vector control. They may also be useful for planning future implementation of malaria control by genetically manipulated mosquitoes.

Item Type:	Article
Uncontrolled Keywords:	Anopheles arabiensis, Anopheles gambiae s.s., Bayesian inference, geostatistics, kriging, malaria, Mali, Markov chain Monte Carlo.
Subjects:	500 Scienze naturali e Matematica > 570 Scienze della vita; Biologia 600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici)
Depositing User:	Emanuele Zinevrakis
Date Deposited:	21 Jun 2010 12:19
Last Modified:	21 Jun 2010 12:19
URI:	http://eprints.bice.rm.cnr.it/id/eprint/2811

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