EO-based study on Sandfly vector (Kala-Azar Disease) in endemic and Non-endemic area in Bihar and Jharkhand, India
- Paper number
IAC-07-B1.5.04
- Author
Mr. Saikat Paul, Indian Space Research Organisation (ISRO), India
- Coauthor
Dr. S Kesari, India
- Coauthor
Dr. A. Jeyaram, Indian Space Research Organisation (ISRO), India
- Coauthor
Dr. K Kishore, India
- Coauthor
Dr. A Ranjan, India
- Coauthor
Dr. A Palit, India
- Coauthor
Dr. V. Jayaraman, Indian Space Research Organisation (ISRO), India
- Year
2007
- Abstract
Remote Sensing technique has been used very effectively to study the environmental factors associated with diseases like malaria and snail borne communicable diseases in many parts of the world. An attempt has been made in the present investigation to study the geo-environmental parameters responsible for the propagation of sandfly vector (P. argentipes) in an endemic (Vaishali district, Bihar, India) and non-endemic area (Lohardagga district, Jharkhand, India) using remote sensing and GIS. In the endemic and non-endemic area, the disease shows direct correlation with the density of P. argentipes (sandfly). Moist sandy soils, high humidity, moderate temperature, dwellings surrounded with soft-stemmed vegetation are important geo-environmental parameters controlling the abundance of sandfly. IRS LISS-III satellite data pertaining to endemic (Vaishali district, Bihar, India) and non-endemic area (Lohardagga district, Jharkhand, India) has been used for generation of information on vegetation, cropping pattern, water bodies, marshy land, settlement with vegetation/without vegetation etc. Temperature, humidity, man-hour-density of sandfly, peri-domestic vegetation was collected from field based observations. Soil samples collected from fields were also analysed for its constituents. Geo-environmental parameters derived from satellite data as Land-use and NDVI, and collateral data of soil moisture, temperature, humidity, soil constituents have been correlated with man-hour density of sandfly in endemic and non-endemic area using multi-variate analysis. It was observed that satellite derived NDVI, Landuse and soil moisture, temperature, humidity data have very good correlation with man-hour density of sandfly. Regression model has been generated for identification of villages where Kala-Azar-genic condition exists and overlaid disease incidence in GIS environment. The study provided very encouraging results towards mapping and modeling kala-Azar-genic conditions in the state of Bihar.
- Abstract document
- Manuscript document
IAC-07-B1.5.04.pdf (🔒 authorized access only).
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