Kirby Seminar - Mr Andrew Shattock - "Mathematical modelling approaches to optimizing the distribution of HIV resources."

Event date
Tuesday 16th February 2016
Event time
1:00 PM
Event address
Level 6, Seminar Room Wallace Wurth Building UNSW Australia Sydney NSW 2052

Location:

Level 6, Seminar Room Wallace Wurth Building UNSW Australia Sydney NSW 2052

Open to

All

Contact for enquiries 

Rata Joseph +61 (0)2 9385 0900 rjoseph@kirby.unsw.edu.au

The Kirby Institute is pleased to present:

Mr Andrew Shattock -Research Assistant, Kirby Institute

"Mathematical modelling approaches to optimizing the distribution of HIV resources."

 

Abstract:
International donor investment in the global HIV response is unlikely to increase in the coming years. In light of ambitious UNAIDS targets to end the global HIV epidemic by 2030 it has become increasingly significant for national governments to achieve more with limited resources. Here we discuss how achieving allocative efficiency gains through the optimal reallocation of resources to the most effective and cost-effective programs can help to increase the epidemiology impact of HIV investments. We present real world applications of several novel modelling techniques that were developed to help guide decision makers and to further advance the field of allocative efficiency modelling.

Bio:
Andrew (Roo) Shattock joined the Kirby Institute in 2012 with bachelor and master degrees in Mathematics from leading universities in the UK. Under the supervision of David Wilson and Richard Gray, Andrew has developed and applied mathematical models to investigate the impact of interventions on a range of infectious diseases including HIV, Hep C, and trachoma. Since undertaking a PhD in 2013, Andrew has focussed on developing techniques to investigate allocative efficiency in the context of HIV investments in international settings. Andrew has been one of the key players in the development of the Optima model which has grown into a household name in the field of infectious disease investment decision making.