One area where we believe our quantitative approaches can have a profound impact on the real world is in offering better control of disease. We do this by working closely with clinicians and public-health officials to understand the problem, ensure we are addressing major challenges and obtain access to the latest biological data.
The examples below are illustrative of the type of high impact work we undertake in Infectious Diseases and Cancer:
Neglected Tropical Diseases affect the world's poorest billion. A team at Warwick funded by the Bill & Melinda Gates Foundation are developing policy relevant models that can assist in the World Health Organisation goal of eliminating these diseases as a major public-health problem by 2020. Our team focuses on four diseases: leprosy, lymphatic filariasis, human African trypanosomiasis and visceral leishmaniasis
Foot and Mouth Disease is the most infectious of all livestock diseases. As well as outbreaks in countries like the UK and USA having a huge economic impact; in developing countries where the disease is endemic it can have a profound influence of the livelihoods of subsistence farmers. Work in Warwick looks at ways in which foot-and-mouth can be optimally controlled.
Cost Effective Vaccination is fundamental to the UK health policy, ensuring that each vaccination programme offers value for money in terms of the health benefits that it generates. Work in Warwick provides direct evidence for the Department of Health and the Joint Committee on Vaccination and Immunisation, based on predictive models and economic analysis.
See the Epidemiology section for more information.
Chronotherapy is a novel method of timing the delivery of anti-cancer drugs. Humans have a natural 24 hour cycle, and this cycle is mirrored in all healthy cells within the body. By timing the delivery of potentially toxic anti-cancer drugs to intervals when healthy cells are relatively dormant significant improvements in treatment are possible. Work in Warwick brings together clinical, lab and modelling work to develop this methodology
Bio-Markers for Cancer have the potential to be able to detect the presence of cancer from a simple blood test. The challenge is that there are many thousands of bio-markers and so identifying the signal of cancer from the mass of complex information requires the latest statistical methods combined with clinical data.
See the Cancer section for more information.