Cargando…
Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology
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 decreased efficacy owing to the emergence of resistant strains. The type of immune...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Department of Journal of Biomedical Research
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596716/ https://www.ncbi.nlm.nih.gov/pubmed/23554714 http://dx.doi.org/10.1016/S1674-8301(11)60050-X |
_version_ | 1782262547990183936 |
---|---|
author | Bhunia, Gouri Sankar Dikhit, Manas Ranjan Kesari, Shreekant Sahoo, Ganesh Chandra Das, Pradeep |
author_facet | Bhunia, Gouri Sankar Dikhit, Manas Ranjan Kesari, Shreekant Sahoo, Ganesh Chandra Das, Pradeep |
author_sort | Bhunia, Gouri Sankar |
collection | PubMed |
description | 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 decreased 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 computational approaches like remote sensing, geographical information system (GIS) and bioinformatics are the key resources 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 spreading from one region to another. |
format | Online Article Text |
id | pubmed-3596716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Editorial Department of Journal of Biomedical Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-35967162013-04-02 Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology Bhunia, Gouri Sankar Dikhit, Manas Ranjan Kesari, Shreekant Sahoo, Ganesh Chandra Das, Pradeep J Biomed Res Review 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 decreased 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 computational approaches like remote sensing, geographical information system (GIS) and bioinformatics are the key resources 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 spreading from one region to another. Editorial Department of Journal of Biomedical Research 2011-11 /pmc/articles/PMC3596716/ /pubmed/23554714 http://dx.doi.org/10.1016/S1674-8301(11)60050-X Text en © 2011 by the Journal of Biomedical Research. All rights reserved. This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Review Bhunia, Gouri Sankar Dikhit, Manas Ranjan Kesari, Shreekant Sahoo, Ganesh Chandra Das, Pradeep Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology |
title | Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology |
title_full | Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology |
title_fullStr | Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology |
title_full_unstemmed | Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology |
title_short | Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology |
title_sort | role of remote sensing, geographical information system (gis) and bioinformatics in kala-azar epidemiology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596716/ https://www.ncbi.nlm.nih.gov/pubmed/23554714 http://dx.doi.org/10.1016/S1674-8301(11)60050-X |
work_keys_str_mv | AT bhuniagourisankar roleofremotesensinggeographicalinformationsystemgisandbioinformaticsinkalaazarepidemiology AT dikhitmanasranjan roleofremotesensinggeographicalinformationsystemgisandbioinformaticsinkalaazarepidemiology AT kesarishreekant roleofremotesensinggeographicalinformationsystemgisandbioinformaticsinkalaazarepidemiology AT sahooganeshchandra roleofremotesensinggeographicalinformationsystemgisandbioinformaticsinkalaazarepidemiology AT daspradeep roleofremotesensinggeographicalinformationsystemgisandbioinformaticsinkalaazarepidemiology |