COVID-19 update: Due to the COVID-19 pandemic, unfortunately we will not be running the September 2020 course. Instead we will be organising a series of very exciting webinars, hosting the leading names in infectious disease modelling currently working on COVID-19. The webinars will be of free access to the public. Details on dates and a final programme will be posted soon. You can also follow the updates by following our department’s twitter account @MRC_Outbreak.
In recent years our understanding of infectious-disease epidemiology and control has been greatly increased through mathematical modelling. Insights from this increasingly-important, exciting field are now informing policy-making at the highest levels, and playing a growing role in research. The transmissible nature of infectious diseases makes them fundamentally different from non-infectious diseases, so techniques from ‘classical’ epidemiology are often invalid and hence lead to incorrect conclusions – not least in health-economic analysis.
Mathematical modelling now plays a key role in policy making, including health-economic aspects; emergency planning and risk assessment; control-programme evaluation; and monitoring of surveillance data. In research, it is essential in study design, analysis (including parameter estimation) and interpretation.
With infectious diseases frequently dominating news headlines, public health and pharmaceutical industry professionals, policy makers, and infectious disease researchers, increasingly need to understand the transmission patterns of infectious diseases, to be able to interpret and critically-evaluate both epidemiological data, and the findings of mathematical modelling studies. Recently there has been rapid progress in developing models and new techniques for measurement and analysis, which have been applied to outbreaks and emerging epidemics, such as Influenza A (H1N1) and SARS. A simple but powerful new technique for assessing the potential of different methods to control an infectious-disease outbreak was recently developed by course presenters.
Since 1990, this course has “demystified” mathematical modelling and kept public-health professionals, policy makers, and infectious disease researchers up-to-date with what they need to know about this fast-moving field, taught by individuals who are actively engaged in research and who advise leading public health professionals, policy-makers, governments, international organisations and pharmaceutical companies, both nationally and internationally, including on pandemic influenza, SARS, HIV, foot-and-mouth disease.
The Department of Infectious Disease Epidemiology, Imperial College London has been the world leader in mathematical modelling of the epidemiology and control of infectious diseases of humans and animals in both industrialised and developing countries for 20 years. It hosts the MRC Centre for Global Infectious Disease Analysis (formerly, the MRC Centre for Outbreak Analysis & Modelling), UNAIDS Epidemiology reference Group, Partnership for Child Development and and the Schistosomiasis Control Initiative that, to date, has treated over 40 million children for Neglected Tropical Diseases. This multi-disciplinary department has publishes frequently in Nature, Science, Lancet, PNAS, AIDS and other leading journals. It has developed models of ebola, Iinfluenza A (H1N1), avian influenza, SARS, HIV, TB, foot-and-mouth-disease, vector-borne diseases including malaria and flariasis, helminth infections, childhood vaccine-preventable infections, sexually-transmitted infections, drug-resistant bacterial infections and others.