Spatially explicit analyses of anopheline mosquitoes indoor resting density: implications for malaria control.

PloS One
Colince KamdemC Costantini

Abstract

The question of sampling and spatial aggregation of malaria vectors is central to vector control efforts and estimates of transmission. Spatial patterns of anopheline populations are complex because mosquitoes' habitats and behaviors are strongly heterogeneous. Analyses of spatially referenced counts provide a powerful approach to delineate complex distribution patterns, and contributions of these methods in the study and control of malaria vectors must be carefully evaluated. We used correlograms, directional variograms, Local Indicators of Spatial Association (LISA) and the Spatial Analysis by Distance IndicEs (SADIE) to examine spatial patterns of Indoor Resting Densities (IRD) in two dominant malaria vectors sampled with a 5 × 5 km grid over a 2500 km(2) area in the forest domain of Cameroon. SADIE analyses revealed that the distribution of Anopheles gambiae was different from regular or random, whereas there was no evidence of spatial pattern in Anopheles funestus (Ia = 1.644, Pa<0.05 and Ia = 1.464, Pa>0.05, respectively). Correlograms and variograms showed significant spatial autocorrelations at small distance lags, and indicated the presence of large clusters of similar values of abundance in An. gambiae while An. funes...Continue Reading

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Citations

Jul 3, 2013·PLoS Neglected Tropical Diseases·Li-Ya WangCheng-Yi Li
Dec 19, 2013·PLoS Computational Biology·T Alex PerkinsDavid L Smith
Jun 4, 2013·Environmental Entomology·David B TaylorJunwei Jerry Zhu

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Software Mentioned

ArcGIS
LISA
GeoDa
Geographic Information System
Crimestat
R
Spatial Analysis by Distance IndicEs ( SADIE )
Clusterseer
SURFER
geoR of

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