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dc.contributor.authorBisanzio, Donal
dc.contributor.authorMutuku, Francis
dc.contributor.author. Bustinduy, Amaya L
dc.contributor.authorMungai, Peter L.
dc.contributor.authorMuchiri, Eric M.
dc.contributor.authorKing, Charles H.
dc.contributor.authorKitron, Uriel
dc.date.accessioned2021-05-11T07:21:43Z
dc.date.available2021-05-11T07:21:43Z
dc.date.issued2014
dc.identifier.issn1935-2727
dc.identifier.urihttps://ir.tum.ac.ke/handle/123456789/17356
dc.description.abstractBackground: In coastal Kenya, infection of human populations by a variety of parasites often results in co-infection or poly parasitism. These parasitic infections, separately and in conjunction, are a major cause of chronic clinical and sub-clinical human disease and exert a long-term toll on economic welfare of affected populations. Risk factors for these infections are often shared and overlap in space, resulting in interrelated patterns of transmission that need to be considered at different spatial scales. Integration of novel quantitative tools and qualitative approaches is needed to analyze transmission dynamics and design effective interventions. Methodology: Our study was focused on detecting spatial and demographic patterns of single- and co-infection in six villages in coastal Kenya. Individual and household level data were acquired using cross-sectional, socio-economic, and entomological surveys. Generalized additive models (GAMs and GAMMs) were applied to determine risk factors for infection and co-infections. Spatial analysis techniques were used to detect local clusters of single and multiple infections. Principal findings: Of the 5,713 tested individuals, more than 50% were infected with at least one parasite and nearly 20% showed co-infections. Infections with Schistosoma haematobium (26.0%) and hookworm (21.4%) were most common, as was co-infection by both (6.3%). Single and co-infections shared similar environmental and socio-demographic risk factors. The prevalence of single and multiple infections was heterogeneous among and within communities. Clusters of single and co-infections were detected in each village, often spatially overlapped, and were associated with lower SES and household crowding. Conclusion: Parasitic infections and co-infections are widespread in coastal Kenya, and their distributions are heterogeneous across landscapes, but inter-related. We highlighted how shared risk factors are associated with high prevalence of single infections and can result in spatial clustering of co-infections. Spatial heterogeneity and synergistic ren_US
dc.language.isoenen_US
dc.subjectcoastal Kenyaen_US
dc.subjectinfection of human populationsen_US
dc.subjectparasitesen_US
dc.subjecthuman diseaseen_US
dc.titleCross-sectional Study of the Burden of Vector-Borne and Soil-Transmitted Polyparasitism in Rural Communities of Coast Province, Kenyaen_US
dc.typeArticleen_US


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