Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales

  • Gouri S. Bhunia Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, Bihar, India.
  • Shreekant Kesari Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, Bihar, India.
  • Nandini Chatterjee Department of Geography, Presidency University, Kolkata, WestBengal, India.
  • Vijay Kumar Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, Bihar, India.
  • Pradeep Das | drpradeep.das@gmail.com Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, Bihar, India.

Abstract

Land cover, a critical variable in the epidemiology of kala-azar, can be remotely characterized by customizing and integrating “state-of-the-art” imagery at different spatial scales from different sensors onboard satellites. A study was conducted at four levels (national, state, district and village) investigating the role of land use/land cover (LULC) for leishmaniasis transmission resulting in a framework highlighting the links between LULC and areas endemic for the disease. Distribution maps were analysed by a probabilistic approach (Bayesian classifier) which produced a set of “suitability estimates” based on the probability of sand fly presence. The development of a sound knowledge of each link in the predicted sequence of satellite views offering an extraordinary opportunity to support the mapping of kala-azar endemicity and stratification of areas suitable for sand fly habitats across the country as well as at the local scale.

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Published
2012-05-01
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Original Articles
Keywords:
Kala-azar, remote sensing, spatial scale, land use/land cover, India.
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How to Cite
Bhunia, G. S., Kesari, S., Chatterjee, N., Kumar, V., & Das, P. (2012). Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales. Geospatial Health, 6(2), 177-193. https://doi.org/10.4081/gh.2012.136