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.

Professor Lisa J White

Professor Lisa J White

Lisa White: Mathematical modelling for tropical diseases

Mathematical modelling, particularly when combined with economical modelling, allows researchers and policy makers to determine the most effective interventions to fight infectious diseases such as malaria. We can use those models to explore ‘what ifs’ scenarios, at country or province level, save more lives and limit costs.

Social media

Lisa White

Professor of Modelling and Epidemiology

MAEMOD

I am currently the head of an Oxford University mathematical and economic modelling (MAEMOD) group based in Thailand at the Mahidol-Oxford Tropical Medicine Research Unit whose research focus is on tropical infections and primarily malaria. MAEMOD coordinates an international network of infectious disease modellers and modelling research beneficiaries working in the Tropics (TDModNet). My work on malaria combines within and between host infection models with multi-strain/species modelling to consider the characterisation, emergence and spread of antimalarial drug resistance and its containment. I have strong collaborative links with the National Center of Malaria Control (CNM) in Cambodia and members of the WHO concerned with the containment of artemisinin resistance in its focus in Western Cambodia. I was also an active member of Malaria Eradication Research Agenda (malERA) an international consultative initiative aimed at identifying current knowledge gaps and new tools needed for malaria eradication. I am now developing mathematical models to be used as tools for national and international malaria elimination strategy design in the Greater Mekong Sub-Region. A large part of this approach will be to build capacity in the region for performing mathematical modelling research and for policymakers to access these new human resources effectively.

Recent publications

More publications