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Gouri Sankar Bhunia,Manas Ranjan Dikhit,Shreekant Kesari,Ganesh Chandra Sahoo,Pradeep Das.Journal of Biomedical Research,2011,25(6):373-384
Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology
Received:July 08, 2011  
DOI10.1016/S1674-8301(11)60050-X
Keywordsbioinformatics, geographical bioinformatics systems (GIS), rK39, support vector machine (SVM)
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AuthorInstitution
Gouri Sankar Bhunia Rajendra Memorial Research Institute of Medical Sciences ICMR, Agamkuan, Patna, Bihar , India.
Manas Ranjan Dikhit Rajendra Memorial Research Institute of Medical Sciences ICMR, Agamkuan, Patna, Bihar , India.
Shreekant Kesari Rajendra Memorial Research Institute of Medical Sciences ICMR, Agamkuan, Patna, Bihar , India.
Ganesh Chandra Sahoo Rajendra Memorial Research Institute of Medical Sciences ICMR, Agamkuan, Patna, Bihar , India.
Pradeep Das Rajendra Memorial Research Institute of Medical Sciences ICMR, Agamkuan, Patna, Bihar , India.
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Abstract
      Visceral leishmaniasis or kala-azar is a potent parasitic infection causing death of thousands of people each year. Medicinal compounds currently available for the treatment of kala-azar have serious side effects and de-creased efficacy owing to the emergence of resistant strains. The type of immune reaction is also to be considered in patients infected with Leishmania donovani (L. donovani). For complete eradication of this disease, a high level modern research is currently being applied both at the molecular level as well as at the field level. The computa-tional approaches like remote sensing, geographic information system (GIS) and bioinformatics are the key re-sources for the detection and distribution of vectors, patterns, ecological and environmental factors and genomic and proteomic analysis. Novel approaches like GIS and bioinformatics have been more appropriately utilized in determining the cause of visearal leishmaniasis and in designing strategies for preventing the disease from spread-ing from one region to another.
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