Publications by authors named "Stella Njuguna"

Sex workers face different types of sex work-related stigma, which may include anticipated, perceived, experienced, or internalized stigma. Sex work stigma can discourage health care seeking and hamper STI and HIV prevention and treatment efforts. There is a paucity of validated sex work-related stigma measures, and this limits the ability to study the stigma associated with sex work.

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Female sex workers (FSW) often face severe stigma and discrimination and are extremely vulnerable to HIV and other sexually transmitted infections. In the fields of HIV and mental health, internalized stigma is associated with poor health care engagement. Due to the lack of valid, standardized measures for internalized sex work-related stigma, its dimensions and role are not well-understood.

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Discrimination and violence against sex workers by police are common in many populations and are associated with negative health outcomes, as well as being per se violations of human rights laws and norms. There is a close and mutually reinforcing nexus between legally actionable rights violations and stigma, and reducing human rights violations against sex workers likely requires both legal and societal interventions that address both. In this paper, we first aim to estimate levels of discrimination, violence, and stigma against women sex workers by police in Kenya.

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Objectives: This study (1) estimated the association between experienced sex work-related stigma and moderate-to-severe depressive symptoms (hereafter depression), (2) examined independent associations between internalized stigma, experienced stigma, and depression among sex workers, and (3) investigated the potential modifying role of social support.

Methods: A cross-sectional survey was conducted among 729 male and female sex workers in Kenya.

Results: The prevalence of depression was 33.

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Introduction: Global efforts to end HIV by 2030 focus on reducing and eventually eliminating new infections in priority populations. Identifying these populations and characterizing their vulnerability factors helps in guiding investment of scarce HIV prevention resources to achieve maximum impact. We sought to establish HIV prevalence, spatial distribution and risk factors for HIV infection in the Kenyan fishing communities of Lake Victoria.

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The barrier HIV-stigma presents to the HIV treatment cascade is increasingly documented; however less is known about female and male sex worker engagement in and the influence of sex-work stigma on the HIV care continuum. While stigma occurs in all spheres of life, stigma within health services may be particularly detrimental to health seeking behaviors. Therefore, we present levels of sex-work stigma from healthcare workers (HCW) among male and female sex workers in Kenya, and explore the relationship between sex-work stigma and HIV counseling and testing.

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Since the discovery of HIV, the advent of anti-retrovirals in the late 80s heralded an era of medicalization of HIV and fostered major advancements in the management of the disease. Africa, despite its high HIV burden, lagged behind in the adoption of these advancements due to major resource and logistical constraints. Innovative responses such as family-centered models of care, community systems strengthening, integration of HIV care with existing health services, and economic and mobile phone- based approaches have been critical in the successful roll-out of evidence-based HIV/AIDS treatment even in the most resource- limited settings.

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Background And Objectives: Heterosexual HIV-1-serodiscordant couples are increasingly recognized as an important source of new HIV-1 infections in sub-Saharan Africa. A simple risk assessment tool could be useful for identifying couples at highest risk for HIV-1 transmission.

Methods: Using data from 3 prospective studies of HIV-1-serodiscordant couples from 7 African countries and standard methods for development of clinical prediction rules, the authors derived and validated a risk scoring tool developed from multivariate modeling and composed of key predictors for HIV-1 risk that could be measured in standard research and clinical settings.

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