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REVIEW ARTICLE
Year : 2012  |  Volume : 49  |  Issue : 4  |  Page : 197-204

The role of remote sensing and gis for spatial prediction of vector-borne diseases transmission: A systematic review


Remote Sensing and GIS Laboratory, Vector Control Research Centre, Puducherry, India

Correspondence Address:
M Palaniyandi
Remote Sensing and GIS Laboratory, Vector Control Research Centre (ICMR), Medical Complex, Indira Nagar, Puducherry–605 006
India
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Source of Support: None, Conflict of Interest: None


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There have been several attemps made to the appreciation of remote sensing and GIS for the study of vectors, biodiversity, vector presence, vector abundance and the vector-borne diseases with respect to space and time. This study was made for reviewing and appraising the potential use of remote sensing and GIS applications for spatial prediction of vector-borne diseases transmission. The nature of the presence and the abundance of vectors and vector-borne diseases, disease infection and the disease transmission are not ubiquitous and are confined with geographical, environmental and climatic factors, and are localized. The presence of vectors and vector-borne diseases is most complex in nature, however, it is confined and fueled by the geographical, climatic and environmental factors including man-made factors. The usefulness of the present day availability of the information derived from the satellite data including vegetation indices of canopy cover and its density, soil types, soil moisture, soil texture, soil depth, etc. is integrating the information in the expert GIS engine for the spatial analysis of other geoclimatic and geoenvironmental variables. The present study gives the detailed information on the classical studies of the past and present, and the future role of remote sensing and GIS for the vector-borne diseases control. The ecological modeling directly gives us the relevant information to understand the spatial variation of the vector biodiversity, vector presence, vector abundance and the vector-borne diseases in association with geoclimatic and the environmental variables. The probability map of the geographical distribution and seasonal variations of horizontal and vertical distribution of vector abundance and its association with vector-borne diseases can be obtained with low cost remote sensing and GIS tool with reliable data and speed.


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