We were fortunate to be able to use this analysis for making the key decision regarding funding distribution between programs targeting the different key affected populations and strengthening the interventions that will be more effective for prevention and control of the HIV epidemic in Georgia. Ketevan Stvilia, HIV program manager – National Center for Disease Control and Public Health, Georgia
Several countries have used Optima analyses to inform their national HIV strategies or to develop concept notes for the Global Fund. Optima is also used in supporting the World Bank with their in-country HIV allocative efficiency analyses.
Technical Reports
| 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008
Optima HIV has been applied in over 40 countries across sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Middle East and North Africa, and Latin America and the Caribbean, with many studies resulting in shifts in policy or programmatic emphases. Below is a sample of case studies from the applications of Optima HIV in Sudan.
Case study: Sudan
In the first half of 2014, the Sudan National AIDS Programme reviewed its National Strategic Programme on HIV and AIDS while at the same time preparing a concept note for submission to the Global Fund for the 2015-17 grant cycle. At this time, the Government of Sudan approached the World Bank with a request to conduct an allocative efficiency analysis to inform the prioritization of the national HIV response and the development of the concept note. These analyses, conducted by the World Bank and using the Optima HIV model, recommended the country increase the focus of its HIV response to antiretroviral therapy (ART) and prevention for key populations including female sex workers (FSW) and men who have sex with men (MSM).
With the same amount of money, this strategic shift in investment was projected to reduce new cumulative infections by 37% by 2020. If more strategic allocations were maintained up to 2030, an estimated additional 49,000 new HIV infections and 14,000 HIV-related deaths could be averted.
When budgets were assigned for 2015-2017, the total amount of funding was less than 2013 levels. However, due to the optimization results, more funding was shifted towards programs targeting key populations, predicted to lead to a reduction of total new infections.
Technical reports
2023
Focusing and sustaining the HIV response in Cambodia: Findings from an Optima HIV modelling analysis 2023
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries: Findings from Optima HIV modeling analyses across 12 countries in Eastern Europe and Central Asia
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Armenia
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Azerbaijan
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Belarus
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Georgia
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Kazakhstan
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Kosovo
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Kyrgyzstan
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Moldova
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Serbia
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Tajikistan
Allocation of HIV Resources towards Maximizing the Impact of Funding in Selected Eastern European and Central Asian Countries - Uzbekistan
2020
Improving Allocative Efficiency of the HIV Response in Kenya: A Country-Level Analysis Using the Optima HIV Model
Ending the AIDS epidemic in Cambodia
Resource optimization to maximize the HIV response in Eastern Europe and Central Asia: Findings from Optima HIV modeling analyses across 11 countries in Eastern Europe and Central Asia
Technical Report [PDF English], Technical Report [PDF Russian]
Improving efficiency of the HIV response in Malawi: Findings from an Optima HIV modelling analysis
Resource optimization to maximize the HIV response in Armenia
Resource optimization to maximize the HIV response in Azerbaijan
Resource optimization to maximize the HIV response in Belarus
Resource optimization to maximize the HIV response in Georgia
Resource optimization to maximize the HIV response in Kazakhstan
Resource optimization to maximize the HIV response in Kyrgyzstan
Resource optimization to maximize the HIV response in Moldova
Resource optimization to maximize the HIV response in Romania
Resource optimization to maximize the HIV response in Tajikistan
Resource optimization to maximize the HIV response in Ukraine
2019
Improving the Allocative Efficiency of the HIV Response Across the Care Cascade in Zimbabwe: Findings from a Modelling Analysis
Improving the allocative efficiency of Kosovo’s HIV response
2018
Optimizing Investments in the National HIV Response of Mexico
Optimizando la Inversión del Plan de Respuesta de Colombia al VIH
2017
Allocating HIV Funding Efficiently in Myanmar: Analyses Using the Optima HIV Model
Allocative Efficiency Analysis (HIV) 2015-2030 for Karnataka & Punjab — India
Optimización de las inversiones para la respuesta al VIH en Perú
Optimizing Investments for a Sustainable and Efficient HIV Response in Togo
Optimización de la inversión en VIH/SIDA en Argentina
2016
Ending AIDS in Johannesburg: An analysis of the status and scale-up towards HIV treatment and prevention targets.
Optimizing Investments for a Sustainable and Efficient HIV Response in Senegal: Findings from an HIV Allocative Efficiency Study
HIV Investment in Cote d’Ivoire: Optimized allocation of HIV resources for a sustainable and efficient HIV response
Optimizing investments in Bulgaria’s HIV response
The World Bank Group, Global Fund, UINAIDS, and UNDP for the Government of Bulgaria
Optimizing investments in Belarus for the National HIV Response
Optimizing Investments in the Kyrgyz Republic’s HIV Response
Value for money in Ukraine’s HIV response: strategic investment and improved efficiency
Optimizing Investments in Georgia’s HIV Response
Optimizing HIV Investments in Armenia
Optimizing investments in Kazakhstan’s HIV response
Science addressing drugs and HIV: State of the Art: 2nd Scientific Statement
Allocative and implementation efficiency in HIV prevention and treatment for people who inject drugs
Optimizing Investments in the National HIV Responses of Indonesia and Thailand: a Report for World Health Organization South-east Asia Regional Office
2015
A Case Study on How Allocative Efficiency Analysis Supported by Mathematical Modelling Changed HIV Investment in Sudan. From Analysis to Action
Optimizing Investments in Moldova’s HIV Response
The World Bank Group, Global Fund, UNAIDS, and UNDP for the Government of Moldova
Optimizing investments in Former Yugoslav Republic of Macedonia’s HIV response
The World Bank Group for the Government of FYR Macedonia [PDF]
Modelling an Optimised Investment Approach for Uzbekistan: sustainable financing of National HIV responses
Zambia’s HIV Response: Prioritised and strategic allocation of HIV resources for impact and sustainability (findings from the HIV allocative efficiency study)
The World Bank Group and UNSW Australia for the Government of Zambia
Investing for Results: How Asia Pacific countries can invest for ending AIDS. High-level panel for AIDS Funding Landscape in Asia and the Pacific
Released at UNESCAP 2015, Bangkok. Comments by International AIDS Economics Network [PDF]
2014
Sudan’s HIV response: Value for money in a low-level HIV epidemic; Findings from the HIV allocative efficiency study
Optimizing allocation of resources for HIV/AIDS responses: presented to the United Nations General Assembly
HIV Mathematical Modelling to Support Swaziland's Development of its HIV Investment Case
The World Bank Group and UNSW for the Government of Swaziland
HIV resource needs, availabilities and gaps across ASEAN countries
Niger’s HIV response: Targeted investments for a health future. Findings from the HIV allocative efficiency and financial sustainability study
Ukraine HIV Program Efficiency Study: Can Ukraine improve value for money in HIV service delivery?
HIV Investment in Armenia: Analysis & Recommendations
Modelling an optimized investment approach for Tajikistan
Evaluation of a Decade of DFID and World Bank Supported HIV and AIDS Programmes in Vietnam from 2003 to 2012
2013
HIV Resource Needs, Efficient Allocation and Resource Mobilization for the Republic of Belarus
Return on Investment of HIV Prevention in Vietnam
2012
Assessment of the allocation of HIV funding in Indonesia.
2011
The Papua New Guinea HIV Model: explaining the past, describing the present, and forecasting the future of the HIV epidemic in PNG
The Kirby Institute, The University of New South Wales [PDF]
[Technical Appendix]
[Software Manual]
Evaluation of the epidemiological impact of harm reduction programs on HIV in Vietnam
Vietnam Administration for HIV/AIDS Control and The World Bank Group [PDF]
The HIV in Indonesia Model (HIM)
2010
Epidemiology and modeling report on HIV/AIDS in the Philippines
2009
Evaluation of the potential impact of the global economic crisis on HIV epidemics in Southeast Asia (prepared for AusAID)
National Centre in HIV Epidemiology and Clinical Research, University of New South Wales [PDF]
2008
Mathematical models to investigate recent trends in HIV notifications among men who have sex with men in Australia
National Centre in HIV Epidemiology and Clinical Research, University of New South Wales [PDF]
© Optima Consortium for Decision Science, 2023