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Detecting spatial clusters of Taenia solium infections in a rural block in South India

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dc.contributor.author Raghava, M. V.
dc.contributor.author Prabhakaran, V.
dc.contributor.author Jayaraman, T.
dc.contributor.author Muliyil, J.
dc.contributor.author Oommen, A.
dc.contributor.author Dorny, P.
dc.contributor.author Vercruysse, J.
dc.contributor.author Rajshekhar, V.
dc.date.accessioned 2010-10-05T13:18:37Z
dc.date.available 2010-10-05T13:18:37Z
dc.date.issued 2010
dc.identifier.issn 0035-9203
dc.identifier.doi http://dx.doi.org/10.1016/j.trstmh.2010.06.002
dc.identifier.other ITG-A6A
dc.identifier.other ITG-A7A
dc.identifier.other ANIMAL
dc.identifier.other U-ANIMAL
dc.identifier.other JIF
dc.identifier.other DOI
dc.identifier.other Abstract
dc.identifier.other UPD25
dc.identifier.uri http://hdl.handle.net/10390/6301
dc.description.abstract Neurocysticercosis (NCC) is a major cause of seizures/epilepsy in countries endemic for the disease. The objectives of this study were to spatially map the burden of active epilepsy (AE), NCC, taeniasis, seroprevalence for cysticercal antibodies and positivity to circulating cysticercal antigens in Kaniyambadi block (approximately 100 villages comprising 100 000 population) of Vellore district and to detect spatial clusters of AE, NCC, taeniasis and seroprevalence. Using geographic information system (GIS) techniques, all 21 study villages with over 8000 houses (population of 38 105) were mapped. Clustering of different indices of Taenia solium infection was determined using a spatial scan statistic (SaTScan). There was a primary spatial cluster of AE with a log likelihood ratio (LLR) of 10.8 and relative risk (RR) of 22.4; however, no significant clustering for NCC was detected. Five significant spatial clusters of seropositivity for cysticercal antibodies, two clusters of seropositivity for cysticercal antigens and one for taeniasis were detected (LLR of 8.35 and RR of 36.67). Our study has demonstrated the use of GIS methods in mapping and identifying 'hot spots' of various indices of T. solium infection in humans. This spatial analysis has identified pockets with high transmission rates so that preventive measures could be focused on an intensive scale en
dc.language English en
dc.subject Helminthic diseases en
dc.subject Neurocysticercosis en
dc.subject Taenia solium en
dc.subject Disease burden en
dc.subject Epilepsy en
dc.subject Mapping en
dc.subject Spatial analysis en
dc.subject Clustering en
dc.subject Geographical information systems (GIS) en
dc.subject GIS en
dc.subject Seroprevalence en
dc.subject Antibodies en
dc.subject Antigens en
dc.subject Rural en
dc.subject India en
dc.subject Asia, South en
dc.title Detecting spatial clusters of Taenia solium infections in a rural block in South India en
dc.type Article en
dc.citation.issue 9 en
dc.citation.jtitle Transactions of the Royal Society of Tropical Medicine and Hygiene en
dc.citation.volume 104 en
dc.citation.pages 601-612 en
dc.identifier.pmid http://www.ncbi.nlm.nih.gov/pubmed/20638091
dc.citation.jabbreviation Trans R Soc Trop Med Hyg en


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