The potential for developing decision support systems for management of VBDs has been enhanced by the emergence of GIS technology and the rapidly increasing availability of cartographic, demographic, socioeconomic, and environmental GIS-based data. Using dengue as an example, GIS provides capacity for the presentation of spatial and spatiotemporal patterns of risk of exposure to vectors and dengue virus based on location-specific information (e.g., Morrison et al., 1998, 2004a; Indaratna et al., 1998; Carbajo et al., 2001; Teng, 2001; Ali et al., 2003; Getis et al., 2003; Muttitanon et al., 2004; Siqueira et al., 2004; Sithiprasasna et al., 2004; Tran et al., 2004; Chadee et al., 2005; van Benthem et al., 2005); and development of predictive spatial risk models based on correlates between GIS-derived data and vector or disease measures (Peterson et al., 2005; Rotela et al., 2007). Free mapping software tools providing access to high-quality satellite imagery (e.g., Google Earth, MS Virtual Earth) are a powerful complement to GIS software for presentation of information overlaid on an image showing the physical environment (Figure 2-2).

FIGURE 2-2 Example from Chetumal, Mexico, of quality of imagery accessed through Google Earth.

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