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HIV-related risk-taking behaviors and preventative measures in sub-Saharan AfricaZellner, Sara Lyn 23 June 2011 (has links)
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From the marriage bed to the graveyard : towards a bold community praxis in reducing HIV infection amongst married women in sub-Saharan Africa.Hlatywayo, Anniegrace. January 2012 (has links)
Recent studies reflect increasing levels of HIV infection amongst married women in sub-Saharan Africa. The institution of marriage, which is highly revered within the church and society, is thus now regarded as a 'potential death trap' for many married women. This study examines the drivers of these increasing levels of HIV infection amongst married women in sub-Saharan Africa. It offers a critical reflection of the socio-cultural factors and gender-insensitive theological traditions that expose married women to the vulnerability of HIV infection.
In order to observe the sacrosanctity of the marriage institution as well as preserving the dignity of life for many married women in sub-Saharan Africa, the study presents the imago Dei theological motif as a gender-sensitive theological response to the increasing levels of HIV infection among married women. The imago Dei theological motif argues that both men and women equally reflect the divine image of God. This theological motif also brings to the fore the realization that HIV and AIDS is fuelled by conditions of inequality, socio-economic and socio-cultural discrimination, hence the need to promote human dignity for both men and women within our communities in sub-Saharan Africa.
Furthermore, emanating from the imago Dei theological motif, the study offers a bold community praxis through the transformation of gender-insensitive theological traditions; the transformation of hegemonic masculinities; and the transformation of gender-insensitive HIV prevention models as practical ways aimed at redressing the vulnerability of married women to the increasing levels of HIV infection. / Thesis (M.A.)-University of KwaZulu-Natal, Pietermaritzburg, 2012.
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Modelling longitudinally measured outcome HIV biomarkers with immuno genetic parameters.Bryan, Susan Ruth. January 2011 (has links)
According to the Joint United Nations Programme against HIV/AIDS 2009 AIDS epidemic update, there were a total of 33.3 million (31.4 million–35.3 million) people living with HIV worldwide in 2009. The majority of the epidemic occurs in Sub-Saharan Africa. Of the 33.3 million people living with HIV worldwide in 2009, a vast majority of 22.5 million (20.9 million-24.2 million) were from Sub-Saharan Africa. There were 1.8 million (1.6 million-2.0 million) new infections and 1.3 million (1.1 million-1.5 million) AIDS-related deaths in Sub-Saharan Africa in 2009 (UNAIDS, 2009).
Statistical models and analysis are required in order to further understand the dynamics of HIV/AIDS and in the design of intervention and control strategies. Despite the prevalence of this disease, its pathogenesis is still poorly understood. A thorough understanding of HIV and factors that influence progression of the disease is required in order to prevent the further spread of the virus. Modelling provides us with a means to understand and predict the progression of the disease better.
Certain genetic factors play a key role in the way the disease progresses in a human body. For example HLA-B types and IL-10 genotypes are some of the genetic factors that have been independently associated with the control of HIV infection. Both HLA-B and IL-10 may influence the quality and magnitude of immune responses and IL-10 has also been shown to down regulate the expression of certain HLA molecules. Studies are therefore required to investigate how HLA-B types and IL-10 genotypes may interact to affect HIV infection outcomes.
This dissertation uses the Sinikithemba study data from the HIV Pathogenesis Programme (HPP) at the Medical School, University of KwaZulu-Natal involving 450 HIV positive and treatment naive individuals to model how certain outcome biomarkers (CD4+ counts and viral loads) are associated with immuno genetic parameters (HLA-B types and IL-10 genotypes). The work also seeks to exploit novel longitudinal data methods in Statistics in order to efficiently model longitudinally measured HIV
outcome data. Statistical techniques such as linear mixed models and generalized estimating equations were used to model this data. The findings from the current work agree quite closely with what is expected from the biological understanding of the disease. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2011.
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Development and assessment of medicines information for antiretroviral therapy in Sub-Saharan AfricaMwingira, Betty January 2005 (has links)
No description available.
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