Optimum resource allocation to reduce HIV incidence across sub-Saharan Africa: a mathematical modelling study

by Jessica B McGillen, Sarah-Jane Anderson, Mark R Dybul et al.
The Lancet HIV, Vol. 3, No. 9, e441–e448, September 2016

8 pp. 2.0 MB
http://www.thelancet.com/pdfs/journals/lanhiv/PIIS2352-3018(16)30051-0.pdfcov200h

Advances in HIV prevention methods offer promise to accelerate declines in incidence, but how these methods can be deployed to have the best effect on the heterogeneous landscape and drivers of the pandemic remains unclear. The authors conclude that if domestic and international funders were to align strategically to build an aggregate funding pattern that is guided by the epidemiology of HIV, and particularly by the emerging understanding of local dynamics and epidemic drivers, more cost-effective and impactful HIV prevention investments could be achieved across sub-Saharan Africa.

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