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UNESCO HIV and Health Education Clearinghouse

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  1. Resource needs for an expanded HIV response: HIV costing and modeling tools

    The Resource Needs Model (RNM) is an Excel-based tool used to calculate the total resources needed at national and decentralized levels for HIV-related prevention and care, as well as support for orphans and vulnerable children. The RNM can help inform national- and district-level budgeting and strategic planning efforts; it estimates: the resources needed for interventions that aim to achieve expected coverage of a particular population using default unit costs; and resource implications of extending interventions and coverage and introducing unit cost changes.

  2. AIDS impact HIV and AIDS projections for policy dialogue, planning and advocacy: HIV costing and modeling tools

    The AIDS Impact Model (AIM) is a component of the Spectrum System of Policy Models. It is used to project thefuture number of HIV infections, AIDS cases, and AIDS deaths, given assumptions about adult HIV prevalence, as well as the demographic and social impacts of HIV.

  3. HIV tools for planning and response: HIV costing and modeling tools

    The USAID Health Policy Initiative, Task Order 1,developed several HIV modeling tools that can be used for various HIV and AIDS policy development andimplementation exercises. The tools are user-friendly Excel- or Windows-based models that can be used to help in-country partners understand the magnitude of health challenges,explore policy and resource options, and set priorities. The HIV modeling tools are designed to answer many questions, including "what if" questions related to resources, healthcare providers and services, and service coverage. …

  4. Spatial modeling of HIV prevalence in Kenya

    A clear understanding of geographic distribution of HIV-infected people and maintaining up-to-date lists and locations of facilities providing HIV-related services are essential for monitoring the epidemic and for providing treatment, care, and support services to the infected and their families. In this study, we model and map human immunodeficiency virus (HIV) prevalence in Kenya in relation to its spatial and behavioral determinants, using data from the 2003 Kenya Demographic and Health Survey (DHS). …

  5. Viet Nam HIV/AIDS Estimates and Projection 2007 - 2012

    To support HIV/AIDS program planning, the Ministry of Health has carried out HIV/AIDS estimates and projections since 2003 based on recommendations of the UN Reference Group on Estimates, Modeling and Projections. In 2007 and 2008, the Viet Nam Administration of HIV/AIDS Control (VAAC) in the Ministry of Health collaborated with national and international partners to conduct a second round of Estimates and Projections in Viet Nam in 2007-2008, which optimized the use of existing data to obtain updated HIV epidemiologic data. …

  6. HIV/AIDS Treatment and Prevention in India: modeling the costs and consequences

    This publication by the World Bank analyses three alternative plans for using and financing antiretroviral therapy (ART) in India. The three policies analyzed in this document include a minimalist policy in which the government strengthens private sector delivery, an intermediate policy of providing treatment for mothers who have AIDS and their spouses, and a generous policy of providing treatment to the poorest 40 percent of all AIDS patients. …

  7. The National Guidelines for the Management of HIV and AIDS in Children in Nepal

    These Guidelines aim to provide up-to-date, evidence based, practical information and knowledge designed to help health service providers to make informed decisions on the management of HIV and AIDS in children and to gain basic knowledge about HIV and AIDS in the pediatric age group. The guidelines are mainly based on algorithms with annotations and reflect international best practice. …

  8. Economic Inequality and HIV in Malawi

    The relationship between economic inequality and HIV infection among young Malawian women is estimated with multi-level logit models of the individual probability of being infected. Two community levels are considered: the immediate neighbourhood, and Malawi's districts. We find a strong positive association between communal inequality and the risk of HIV infection. The relationship between economic status and HIV status, at communal and individual levels, is less clear-cut, but individual absolute poverty does not increase the risk of HIV infection. …

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