Lymphatic Filariasis Transmission Risk Map of India, Based on a Geo-Environmental Risk Model
Identifieur interne : 003479 ( Main/Exploration ); précédent : 003478; suivant : 003480Lymphatic Filariasis Transmission Risk Map of India, Based on a Geo-Environmental Risk Model
Auteurs : Shanmugavelu Sabesan ; Konuganti Hari Kishan Raju ; Swaminathan Subramanian ; Pradeep Kumar Srivastava ; Purushothaman JambulingamSource :
- Vector Borne and Zoonotic Diseases [ 1530-3667 ] ; 2013.
Descripteurs français
- KwdFr :
- Adolescent, Animaux, Antigènes d'helminthe (sang), Cartographie géographique, Enfant, Filariose lymphatique (), Filariose lymphatique (transmission), Filariose lymphatique (épidémiologie), Humains, Inde (épidémiologie), Maladies endémiques, Modèles biologiques, Modèles logistiques, Risque, Surveillance de la population.
- MESH :
- Wicri :
- geographic : Inde.
English descriptors
- KwdEn :
- Adolescent, Animals, Antigens, Helminth (blood), Child, Elephantiasis, Filarial (epidemiology), Elephantiasis, Filarial (prevention & control), Elephantiasis, Filarial (transmission), Endemic Diseases, Geographic Mapping, Humans, India (epidemiology), Logistic Models, Models, Biological, Population Surveillance, Risk.
- MESH :
- chemical , blood : Antigens, Helminth.
- geographic , epidemiology : India.
- epidemiology : Elephantiasis, Filarial.
- prevention & control : Elephantiasis, Filarial.
- transmission : Elephantiasis, Filarial.
- Adolescent, Animals, Child, Endemic Diseases, Geographic Mapping, Humans, Logistic Models, Models, Biological, Population Surveillance, Risk.
Abstract
The strategy adopted by a global program to interrupt transmission of lymphatic filariasis (LF) is mass drug administration (MDA) using chemotherapy. India also followed this strategy by introducing MDA in the historically known endemic areas. All other areas, which remained unsurveyed, were presumed to be nonendemic and left without any intervention. Therefore, identification of LF transmission risk areas in the entire country has become essential so that they can be targeted for intervention. A geo-environmental risk model (GERM) developed earlier was used to create a filariasis transmission risk map for India. In this model, a Standardized Filariasis Transmission Risk Index (SFTRI, based on geo-environmental risk variables) was used as a predictor of transmission risk. The relationship between SFTRI and endemicity (historically known) of an area was quantified by logistic regression analysis. The quantified relationship was validated by assessing the filarial antigenemia status of children living in the unsurveyed areas through a ground truth study. A significant positive relationship was observed between SFTRI and the endemicity of an area. Overall, the model prediction of filarial endemic status of districts was found to be correct in 92.8% of the total observations. Thus, among the 190 districts hitherto unsurveyed, as many as 113 districts were predicted to be at risk, and the remaining at no risk. The GERM developed on geographic information system (GIS) platform is useful for LF spatial delimitation on a macrogeographic/regional scale. Furthermore, the risk map developed will be useful for the national LF elimination program by identifying areas at risk for intervention and for undertaking surveillance in no-risk areas.
Url:
DOI: 10.1089/vbz.2012.1238
PubMed: 23808973
PubMed Central: 3777552
Affiliations:
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Le document en format XML
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<term>Elephantiasis, Filarial (epidemiology)</term>
<term>Elephantiasis, Filarial (prevention & control)</term>
<term>Elephantiasis, Filarial (transmission)</term>
<term>Endemic Diseases</term>
<term>Geographic Mapping</term>
<term>Humans</term>
<term>India (epidemiology)</term>
<term>Logistic Models</term>
<term>Models, Biological</term>
<term>Population Surveillance</term>
<term>Risk</term>
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<term>Animaux</term>
<term>Antigènes d'helminthe (sang)</term>
<term>Cartographie géographique</term>
<term>Enfant</term>
<term>Filariose lymphatique ()</term>
<term>Filariose lymphatique (transmission)</term>
<term>Filariose lymphatique (épidémiologie)</term>
<term>Humains</term>
<term>Inde (épidémiologie)</term>
<term>Maladies endémiques</term>
<term>Modèles biologiques</term>
<term>Modèles logistiques</term>
<term>Risque</term>
<term>Surveillance de la population</term>
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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term>
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<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Elephantiasis, Filarial</term>
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<term>Inde</term>
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<front><div type="abstract" xml:lang="en"><title>Abstract</title>
<p>The strategy adopted by a global program to interrupt transmission of lymphatic filariasis (LF) is mass drug administration (MDA) using chemotherapy. India also followed this strategy by introducing MDA in the historically known endemic areas. All other areas, which remained unsurveyed, were presumed to be nonendemic and left without any intervention. Therefore, identification of LF transmission risk areas in the entire country has become essential so that they can be targeted for intervention. A geo-environmental risk model (GERM) developed earlier was used to create a filariasis transmission risk map for India. In this model, a Standardized Filariasis Transmission Risk Index (SFTRI, based on geo-environmental risk variables) was used as a predictor of transmission risk. The relationship between SFTRI and endemicity (historically known) of an area was quantified by logistic regression analysis. The quantified relationship was validated by assessing the filarial antigenemia status of children living in the unsurveyed areas through a ground truth study. A significant positive relationship was observed between SFTRI and the endemicity of an area. Overall, the model prediction of filarial endemic status of districts was found to be correct in 92.8% of the total observations. Thus, among the 190 districts hitherto unsurveyed, as many as 113 districts were predicted to be at risk, and the remaining at no risk. The GERM developed on geographic information system (GIS) platform is useful for LF spatial delimitation on a macrogeographic/regional scale. Furthermore, the risk map developed will be useful for the national LF elimination program by identifying areas at risk for intervention and for undertaking surveillance in no-risk areas.</p>
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<name sortKey="Raju, Konuganti Hari Kishan" sort="Raju, Konuganti Hari Kishan" uniqKey="Raju K" first="Konuganti Hari Kishan" last="Raju">Konuganti Hari Kishan Raju</name>
<name sortKey="Sabesan, Shanmugavelu" sort="Sabesan, Shanmugavelu" uniqKey="Sabesan S" first="Shanmugavelu" last="Sabesan">Shanmugavelu Sabesan</name>
<name sortKey="Srivastava, Pradeep Kumar" sort="Srivastava, Pradeep Kumar" uniqKey="Srivastava P" first="Pradeep Kumar" last="Srivastava">Pradeep Kumar Srivastava</name>
<name sortKey="Subramanian, Swaminathan" sort="Subramanian, Swaminathan" uniqKey="Subramanian S" first="Swaminathan" last="Subramanian">Swaminathan Subramanian</name>
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