The global Optima HIV allocative efficiency model: targeting resources in efforts to end AIDS.

[1]  T Brown,et al.  The Asian Epidemic Model: a process model for exploring HIV policy and programme alternatives in Asia , 2004, Sexually Transmitted Infections.

[2]  John Stover,et al.  Towards an improved investment approach for an effective response to HIV/AIDS , 2011, The Lancet.

[3]  Michael Rayment,et al.  Prevention of HIV-1 infection with early antiretroviral therapy , 2012, Journal of Family Planning and Reproductive Health Care.

[4]  R. Écochard,et al.  Response to antiretroviral therapy: improved survival associated with CD4 above 500 cells/&mgr;l , 2012, AIDS.

[5]  Rachel Silverman,et al.  The Financial Flows of PEPFAR: A Profile , 2013 .

[6]  T. Hallett,et al.  Maximising the effect of combination HIV prevention through prioritisation of the people and places in greatest need: a modelling study , 2014, The Lancet.

[7]  Emiko Masaki,et al.  Sudan's HIV response : Value for money in a low level HIV epidemic : findings from the HIV allocative efficiency study , 2014 .

[8]  A. Vassall,et al.  Is there scope for cost savings and efficiency gains in HIV services? A systematic review of the evidence from low- and middle-income countries. , 2014, Bulletin of the World Health Organization.

[9]  S. Kelly,et al.  HIV Cascade Monitoring and Simple Modeling Reveal Potential for Reductions in HIV Incidence , 2015, Journal of acquired immune deficiency syndromes.

[10]  Cliff C Kerr,et al.  Optima: A Model for HIV Epidemic Analysis, Program Prioritization, and Resource Optimization , 2015, Journal of acquired immune deficiency syndromes.

[11]  P. Ghys,et al.  What Is Required to End the AIDS Epidemic as a Public Health Threat by 2030? The Cost and Impact of the Fast-Track Approach , 2016, PloS one.

[12]  S. Resch,et al.  Long-term financing needs for HIV control in sub-Saharan Africa in 2015–2050: a modelling study , 2016, BMJ Open.

[13]  David P. Wilson,et al.  In the interests of time: improving HIV allocative efficiency modelling via optimal time-varying allocations , 2016, Journal of the International AIDS Society.

[14]  T. Hallett,et al.  Optimum resource allocation to reduce HIV incidence across sub-Saharan Africa: a mathematical modelling study. , 2016, The lancet. HIV.

[15]  J. Kahn,et al.  Chapter __. Using Models to Guide HIV/AIDS Policy: A Synthesis of Current Models to Determine Resource Allocation Cost- Effectiveness , 2016 .

[16]  John Stover,et al.  Financing transformative health systems towards achievement of the health Sustainable Development Goals: a model for projected resource needs in 67 low-income and middle-income countries , 2017, The Lancet. Global health.

[17]  Cliff C Kerr,et al.  Optimization by Adaptive Stochastic Descent , 2018, PloS one.

[18]  Kelsey L. Grantham,et al.  How should HIV resources be allocated? Lessons learnt from applying Optima HIV in 23 countries , 2018, Journal of the International AIDS Society.

[19]  Emiko Masaki,et al.  Optimizing Investments in Belarus for the National HIV Response , 2019 .