{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T16:19:58Z","timestamp":1790698798199,"version":"4.1.0"},"reference-count":17,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2013,9,1]],"date-time":"2013-09-01T00:00:00Z","timestamp":1377993600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Vector-Borne and Zoonotic Diseases"],"published-print":{"date-parts":[[2013,9]]},"abstract":"<jats: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.<\/jats:p>","DOI":"10.1089\/vbz.2012.1238","type":"journal-article","created":{"date-parts":[[2013,6,29]],"date-time":"2013-06-29T09:51:26Z","timestamp":1372499486000},"page":"657-665","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":23,"title":["Lymphatic Filariasis Transmission Risk Map of India, Based on a Geo-Environmental Risk Model"],"prefix":"10.1177","volume":"13","author":[{"given":"Shanmugavelu","family":"Sabesan","sequence":"first","affiliation":[{"name":"Vector Control Research Centre","place":["India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konuganti Hari Kishan","family":"Raju","sequence":"additional","affiliation":[{"name":"Vector Control Research Centre","place":["India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Swaminathan","family":"Subramanian","sequence":"additional","affiliation":[{"name":"Vector Control Research Centre","place":["India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradeep Kumar","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Directorate of National Vector Borne Disease Control Programme, Sham Nath Marg, New Delhi, India."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Purushothaman","family":"Jambulingam","sequence":"additional","affiliation":[{"name":"Vector Control Research Centre","place":["India"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2013,9,1]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0001-706X(01)00099-7"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.ede.0000164558.73773.9c"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-308X(00)47011-9"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0009927"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-48536-2"},{"key":"e_1_3_3_7_1","unstructured":"Environment Systems Research Institute. 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