Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Health Economics

To be truly able to inform policy, models must include a cost component and they must translate the detailed logistics of malaria interventions to both a cost and a measure of impact. This then allows for optimization algorithms to explore the best combination of malaria interventions under varied resource limitations. The group is exploring the development of frameworks that facilitate the usage of these algorithms by control programmes.

Graph showing the Predicted optimal intervention package under different budget constraints for a putative African population with a mean malaria true prevalence of 10%. — Predicted optimal intervention package under different budget constraints for a putative African population with a mean malaria true prevalence of 10%.