The Centre for the Mathematical Modelling of Infectious Diseases (CMMID) is a multidisciplinary grouping of more than 150 epidemiologists, mathematicians, economists, statisticians and clinicians from across all faculties of the LSHTM. 

Our research focuses on understanding and predicting the epidemiology of infectious diseases so that more effective control programmes can be devised. CMMID is structured into multiple research themes in which researchers are developing and applying mathematical models to a range of infections including HIV, HPV and other sexually transmitted infections, tuberculosis, hepatitis C, influenza, rotavirus, measles, varicella, pneumococci, Hib, malaria, Ebola, SARS-CoV-2 and sleeping sickness.

More fundamental research includes developing methods to measure underlying contact patterns, sampling hard-to-reach populations (such as drug users or internally displaced people), efficiently fitting complex mathematical models to data, and the integration of epidemiological models with economic analyses.

CMMID is actively engaged in developing links with other (modelling) groups; members of the CMMID include mathematical modellers working at Public Health England (formerly the HPA) and the Royal Veterinary College.

Chris Jarvis, Emily Nightingale and Naomi Fuller co-ordinate the regular meetings and journal club that bring together PhD students, researchers and post-docs who are early in their careers.