Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales
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...
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doaj-3c5c2a03ec8e4583ab62c117581a2b2f2020-11-25T04:00:52ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962012-05-016217719310.4081/gh.2012.136136Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scalesGouri S. Bhunia0Shreekant Kesari1Nandini Chatterjee2Vijay Kumar3Pradeep Das4Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, BiharDepartment of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, BiharDepartment of Geography, Presidency University, Kolkata, WestBengalDepartment of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, BiharDepartment of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna, BiharLand 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.http://www.geospatialhealth.net/index.php/gh/article/view/136Kala-azar, remote sensing, spatial scale, land use/land cover, India. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gouri S. Bhunia Shreekant Kesari Nandini Chatterjee Vijay Kumar Pradeep Das |
spellingShingle |
Gouri S. Bhunia Shreekant Kesari Nandini Chatterjee Vijay Kumar Pradeep Das Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales Geospatial Health Kala-azar, remote sensing, spatial scale, land use/land cover, India. |
author_facet |
Gouri S. Bhunia Shreekant Kesari Nandini Chatterjee Vijay Kumar Pradeep Das |
author_sort |
Gouri S. Bhunia |
title |
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales |
title_short |
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales |
title_full |
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales |
title_fullStr |
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales |
title_full_unstemmed |
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales |
title_sort |
localization of kala-azar in the endemic region of bihar, india based on land use/land cover assessment at different scales |
publisher |
PAGEPress Publications |
series |
Geospatial Health |
issn |
1827-1987 1970-7096 |
publishDate |
2012-05-01 |
description |
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. |
topic |
Kala-azar, remote sensing, spatial scale, land use/land cover, India. |
url |
http://www.geospatialhealth.net/index.php/gh/article/view/136 |
work_keys_str_mv |
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