Spatio-temporal analysis of abundances of three malaria vector species in southern Benin using zero-truncated models

Particle and Fibre Toxicology

Hélène Guis⁴  Vincent Corbel¹  Fabrice Chandre²  Abdul S Bio-Bangana³  Armel Djènontin³  Nicolas Moiroux² 

[1] Department of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok10900, Thailand;MIVEGEC (IRD 224-CNRS 5290-UM1-UM2), Institut de Recherche pour le Développement (IRD), BP64501, 34394 Montpellier, France;Centre de Recherche en Entomologie de Cotonou (CREC), Ministère de la Santé, Cotonou, Bénin;INRA, UMR, 1309 CMAEEF-34398, Montpellier, France

关键词: Map;    Vector control;    Zero-truncated;    Abundance;    Modelling;    Anopheles;    Malaria;   

Others  :  810566
DOI  :  10.1186/1756-3305-7-103

 received in 2013-09-17, accepted in 2014-03-03,  发布年份 2014

【 摘 要 】

Background

A better understanding of the ecology and spatial-temporal distribution of malaria vectors is essential to design more effective and sustainable strategies for malaria control and elimination. In a previous study, we analyzed presence-absence data of An. funestus, An. coluzzii, and An. gambiae s.s. in an area of southern Benin with high coverage of vector control measures. Here, we further extend the work by analysing the positive values of the dataset to assess the determinants of the abundance of these three vectors and to produce predictive maps of vector abundance.

Methods

Positive counts of the three vectors were assessed using negative-binomial zero-truncated (NBZT) mixed-effect models according to vector control measures and environmental covariates derived from field and remote sensing data. After 8-fold cross-validation of the models, predictive maps of abundance of the sympatric An. funestus, An. coluzzii, and An. gambiae s.s. were produced.

Results

Cross-validation of the NBZT models showed a satisfactory predictive accuracy. Almost all changes in abundance between two surveys in the same village were well predicted by the models but abundances for An. gambiae s.s. were slightly underestimated. During the dry season, predictive maps showed that abundance greater than 1 bite per person per night were observed only for An. funestus and An. coluzzii. During the rainy season, we observed both increase and decrease in abundance of An. funestus, which are dependent on the ecological setting. Abundances of both An. coluzzii and An. gambiae s.s. increased during the rainy season but not in the same areas.

Conclusions

Our models helped characterize the ecological preferences of three major African malaria vectors. This works highlighted the importance to study independently the binomial and the zero-truncated count processes when evaluating vector control strategies. The study of the bio-ecology of malaria vector species in time and space is critical for the implementation of timely and efficient vector control strategies.

【 授权许可】

   
2014 Moiroux et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

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Figure 3.

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