Dr Rowan Martin-Hughes comes from a background in mathematics and computer science, specialising in game theory and modelling the development of trust. He has years of experience in capacity development in civil society in South East Asia and since 2015 has worked on mathematical models to improve the allocative efficiency of health resources.
Rowan maintains and develops models including HIV, tuberculosis, malaria, nutrition, and maternal, newborn and child health, and applies those models in country contexts in partnership with governments, development partners, and national stakeholders.
The Lancet Global Health
Rowan Martin‐Hughes, Debra ten Brink
The Lancet HIV
Anna L. Bowring, Debra ten Brink, Rowan Martin‐Hughes, Nisaa Wulan, Kelvin Burke, Tom Tidhar, Nick Scott, Nisaa Wulan, Debra ten Brink, Rowan Martin‐Hughes
The Lancet HIV
Anna L. Bowring, Debra ten Brink, Rowan Martin‐Hughes, Nisaa Wulan, Kelvin Burke, Tom Tidhar, Nick Scott, Nisaa Wulan, Debra ten Brink, Rowan Martin‐Hughes
Optima HIV is an open source mathematical modelling tool to help countries respond effectively to HIV.
Optima Tuberculosis is an open-source model to aid the fight against TB. It combines epidemiological and economic algorithms to find the best ways to optimise resources and reduce disease.
This community-centred public health project will screen all residents of Daru, Papua New Guinea to detect, treat and prevent tuberculosis.