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

MV Raghava, V Prabhakaran, T Jayaraman, J Muliyil, A Oommen, P Dorny, J Vercruysse, V Rajshekhar

    Research output: Contribution to journalA1: Web of Science-article

    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
    Original languageEnglish
    JournalTransactions of the Royal Society of Tropical Medicine and Hygiene
    Volume104
    Issue number9
    Pages (from-to)601-612
    Number of pages12
    ISSN0035-9203
    DOIs
    Publication statusPublished - 2010

    Keywords

    • B780-tropical-medicine
    • Helminthic diseases
    • Neurocysticercosis
    • Taenia solium
    • Disease burden
    • Epilepsy
    • Mapping
    • Spatial analysis
    • Clustering
    • Geographical information systems (GIS)
    • GIS
    • Seroprevalence
    • Antibodies
    • Antigens
    • Rural
    • India
    • Asia-South

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