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Geographic distribution of HIV stigma among women of childbearing age in rural Kenya

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dc.contributor.author Ombok, Maurice
dc.contributor.author Akullian, Adam
dc.date.accessioned 2016-03-05T10:09:04Z
dc.date.available 2016-03-05T10:09:04Z
dc.date.issued 2014-07
dc.identifier.citation Akullian, A., Kohler, P., Kinuthia, J., Laserson, K., Mills, L. A., Okanda, J., ... & Wakefield, J. (2014). Geographic distribution of HIV stigma among women of childbearing age in rural Kenya. AIDS (London, England), 28(11), 1665. en_US
dc.identifier.uri http://hdl.handle.net/123456789/1860
dc.description.abstract HIV stigma is considered to be a major driver of the HIV/AIDS pandemic, yet there is a limited understanding of its occurrence. We describe the geographic patterns of two forms of HIV stigma in a cross-sectional sample of women of childbearing age from western Kenya: internalized stigma (associated with shame) and externalized stigma (associated with blame).Geographic studies of HIV stigma provide a first step in generating hypotheses regarding potential community-level causes of stigma and may lead to more effective communitylevel interventions. Spatial regression using generalized additive models and point pattern analyses using K-functions were used to assess the spatial scale(s) at which each form of HIV stigma clusters, and to assess whether the spatial clustering of each stigma indicator was present after adjustment for individual-level characteristics. There was evidence that externalized stigma (blame) was geographically heterogeneous across the study area, even after controlling for individual-level factors (P=0.01). In contrast, there was less evidence (P=0.70) of spatial trend or clustering of internalized stigma (shame). Our results may point to differences in the underlying social processes motivating each form of HIV stigma. Externalized stigma may be driven more by cultural beliefs disseminated within communities, whereas internalized stigma may be the result of individuallevel characteristics outside the domain of community influence. These data may inform community-level interventions to decrease HIV-related stigma, and thus impact the HIV epidemic. en_US
dc.language.iso en en_US
dc.subject community-level interventions en_US
dc.subject geographic information systems en_US
dc.subject HIV stigma en_US
dc.subject maternal and child health en_US
dc.subject spatial epidemiology en_US
dc.title Geographic distribution of HIV stigma among women of childbearing age in rural Kenya en_US
dc.type Other en_US


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