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Understanding the Inverse Equity Hypothesis in HIV Prevalence Trends in Sub-Saharan Africa

Explore the changing patterns of HIV prevalence in Sub-Saharan Africa and its correlation with education and wealth. The inverse equity hypothesis sheds light on these trends, aiding in prediction and intervention strategies for countries like Tanzania, Kenya, Lesotho, Malawi, Benin, Burkina Faso, Cameroon, Cote D'Ivoire, Ethiopia, Rwanda, and Zimbabwe.

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Understanding the Inverse Equity Hypothesis in HIV Prevalence Trends in Sub-Saharan Africa

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  1. Inverse Equity Hypothesis • In sub Saharan Africa • Some studies have found greater education / wealth associated with higher HIV prevalence • Other studies have found greater education / wealth associated with lower HIV prevalence • The pattern of HIV by these measures is changing over time • The inverse equity hypothesis may explain this • Why is this useful: it helps us understand and predict

  2. Tanzania Tanzania

  3. Kenya Kenya

  4. Lesotho Lesotho

  5. Malawi Malawi

  6. These 7 countries have second DHS+ due in next two yearsWe can continue to test our hypothesis • Benin • Burkina Faso • Cameroon • Cote D'Ivoire • Ethiopia • Rwanda • Zimbabwe

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