Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

Visceral leishmaniasis (VL), a vector-borne disease strongly influenced by environmental factors, has (re)-emerged in Ethiopia during the last two decades and is currently of increasing public health concern. Based on VL incidence in each locality (<em>kebele</em>) documented from federa...

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Main Authors: Teshome Tsegaw, Endalamaw Gadisa, Ahmed Seid, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Abraham Aseffa
Format: Article
Language:English
Published: PAGEPress Publications 2013-05-01
Series:Geospatial Health
Subjects:
Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/88
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author Teshome Tsegaw
Endalamaw Gadisa
Ahmed Seid
Adugna Abera
Aklilu Teshome
Abate Mulugeta
Merce Herrero
Daniel Argaw
Alvar Jorge
Abraham Aseffa
author_facet Teshome Tsegaw
Endalamaw Gadisa
Ahmed Seid
Adugna Abera
Aklilu Teshome
Abate Mulugeta
Merce Herrero
Daniel Argaw
Alvar Jorge
Abraham Aseffa
author_sort Teshome Tsegaw
collection DOAJ
description Visceral leishmaniasis (VL), a vector-borne disease strongly influenced by environmental factors, has (re)-emerged in Ethiopia during the last two decades and is currently of increasing public health concern. Based on VL incidence in each locality (<em>kebele</em>) documented from federal or regional health bureaus and/or hospital records in the country, geographical information systems (GIS), coupled with binary and multivariate logistic regression methods, were employed to develop a risk map for Ethiopia with respect to VL based on soil type, altitude, rainfall, slope and temperature. The risk model was subsequently validated in selected sites. This environmental VL risk model provided an overall prediction accuracy of 86% with mean land surface temperature and soil type found to be the best predictors of VL. The total population at risk was estimated at 3.2 million according to the national population census in 2007. The approach presented here should facilitate the identification of priority areas for intervention and the monitoring of trends as well as providing input for further epidemiological and applied research with regard to this disease in Ethiopia.
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spelling doaj.art-563976bb08d648f39ab8cc057187bd9b2022-12-21T18:54:44ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962013-05-017229930810.4081/gh.2013.8888Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approachTeshome Tsegaw0Endalamaw Gadisa1Ahmed Seid2Adugna Abera3Aklilu Teshome4Abate Mulugeta5Merce Herrero6Daniel Argaw7Alvar Jorge8Abraham Aseffa9Armauer Hansen Research Institute, All-Africa Leprosy and TB Rehabilitation and Training Center, Addis AbabaArmauer Hansen Research Institute, All-Africa Leprosy and TB Rehabilitation and Training Center, Addis AbabaArmauer Hansen Research Institute, All-Africa Leprosy and TB Rehabilitation and Training Center, Addis AbabaArmauer Hansen Research Institute, All-Africa Leprosy and TB Rehabilitation and Training Center, Addis AbabaArmauer Hansen Research Institute, All-Africa Leprosy and TB Rehabilitation and Training Center, Addis AbabaDisease Prevention and Control Programmes, World Health Organization, Ethiopia Country Office, Addis AbabaDisease Prevention and Control Programmes, World Health Organization, Ethiopia Country Office, Addis AbabaDepartment for the Control of Neglected Tropical Diseases, Leishmaniasis Control Programme, World Health Organization, GenevaDepartment for the Control of Neglected Tropical Diseases, Leishmaniasis Control Programme, World Health Organization, GenevaArmauer Hansen Research Institute, All-Africa Leprosy and TB Rehabilitation and Training Center, Addis AbabaVisceral leishmaniasis (VL), a vector-borne disease strongly influenced by environmental factors, has (re)-emerged in Ethiopia during the last two decades and is currently of increasing public health concern. Based on VL incidence in each locality (<em>kebele</em>) documented from federal or regional health bureaus and/or hospital records in the country, geographical information systems (GIS), coupled with binary and multivariate logistic regression methods, were employed to develop a risk map for Ethiopia with respect to VL based on soil type, altitude, rainfall, slope and temperature. The risk model was subsequently validated in selected sites. This environmental VL risk model provided an overall prediction accuracy of 86% with mean land surface temperature and soil type found to be the best predictors of VL. The total population at risk was estimated at 3.2 million according to the national population census in 2007. The approach presented here should facilitate the identification of priority areas for intervention and the monitoring of trends as well as providing input for further epidemiological and applied research with regard to this disease in Ethiopia.http://www.geospatialhealth.net/index.php/gh/article/view/88visceral leishmaniasis, neglected tropical diseases, risk map, geographical information systems, Ethiopia.
spellingShingle Teshome Tsegaw
Endalamaw Gadisa
Ahmed Seid
Adugna Abera
Aklilu Teshome
Abate Mulugeta
Merce Herrero
Daniel Argaw
Alvar Jorge
Abraham Aseffa
Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach
Geospatial Health
visceral leishmaniasis, neglected tropical diseases, risk map, geographical information systems, Ethiopia.
title Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach
title_full Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach
title_fullStr Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach
title_full_unstemmed Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach
title_short Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach
title_sort identification of environmental parameters and risk mapping of visceral leishmaniasis in ethiopia by using geographical information systems and a statistical approach
topic visceral leishmaniasis, neglected tropical diseases, risk map, geographical information systems, Ethiopia.
url http://www.geospatialhealth.net/index.php/gh/article/view/88
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