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Name of Model Research group Area of research Population Type of model Reference Contact
Goals Model

John Stover, Carel Pretorius, Chaitra Gopalappa, Kyeen Anderson and Lori Bollinger (Futures Institute)

HIV epidemic dynamics, impacts of prevention interventions (both biomedical and behavior change, adults and children), impacts of new prevention technologies, resource allocation General population Deterministic, population-based
  • Schwartlander B, Stover J, Hallett T, Atun R, Avila C, Gouws E, et al. Towards and improved investment approach for an effective response to HV/AIDS. Lancet. 2011;377(9782): 2031-2041.

Wilson group, Kirby Institute, UNSW Australia

Allocative efficiency, impact evaluation, cost-effectiveness, epidemic and financial commitment projections, incidence estimation, cascade evaluation Any risk-based and demographic-based stratifications of populations are included Compartmental population-based model with optimization routines
  • Kerr et al. Optima: a model for HIV epidemic analysis, program prioritization, and resource optimization. J Acquir Immune Defic Syndr. 2015;69(3):365-76
  • Wilson et al. Allocating resources efficiently to address strategic objectives: optimisation of HIV responses. Under review.
  • Fraser et al. Sudan’s HIV response: Value for money in a low-level HIV epidemic; Findings from the HIV allocative efficiency study. Report published by the World Bank and UNSW Australia. 2014
  • Fraser et al. Niger’s HIV response: Targeted investments for a health future. Findings from the HIV allocative efficiency and financial sustainability study. Report published by the World Bank. 2014