Epidemiology and Mathematical Modelling provide vital mathematical and statistical tools to study the spatial spread of epidemics in populations.
Mathematics and simulation are essential tools in infectious disease control, enabling decision-makers to explore control policies before implementing them, interpret trends, and predict emerging threats. Over recent years technological advances and worldwide efforts are speeding up developments towards better global surveillance for combating pandemics of emergent and re-emergent infectious diseases. Here at Cambridge our researchers, extending from medicine and molecular biology to computer science and applied mathematics, are teaming up to develop new models and applied tools for rapid assessment of potentially urgent situations.
Explore Campus
Research groups are found across several university departments and local research institutes, and include:
- Disease Dynamics Research Group (Dept Applied Mathematics and Theoretical Physics)
- Disease Dynamics Unit (Dept Veterinary Medicine)
- Antigenic Cartography Group (Dept Zoology)
- Epidemiology and Modelling Group (Dept Plant Sciences)
- Epidemiology and Immunology of Human Schistosomiasis Group (Dept Pathology).
- Institute of Public Health, which includes the internationally renowned MRC Biostatistics Unit.
People specializing in this area
Co-Chairs
Emergence and epidemiology of infectious diseases
Operations Group
Modelling and analysis of complex activity-based processes
Emergence and epidemiology of infectious diseases
Steering Committee
Modelling and analysis of complex activity-based processes
Emergence and epidemiology of infectious diseases
Principal Investigators
Modelling and analysis of complex activity-based processes
The economics of infectious diseases
Epidemiology and control of bacterial meningitis and other vaccine-preventable infections
Emergence and epidemiology of infectious diseases
Postdoctoral Researchers
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•Integration epidemiological and demographic processes into a unified framework to understand the role of demography as an important epidemiological driver.•Incorporating economic constraints into epidemiological models to investigate the combined economic and epidemic dynamics of vaccination.•Drawing on game theory and theory of self-enforcing international agreements to identify the levels of international cooperation necessary to reach optimal and more uniform regional vaccination coverage.
- Integration of epidemiological and demographic processes into a unified framework to understand the role of demography as an important epidemiological driver.
- Incorporating economic constraints into epidemiological models to investigate the combined economic and epidemic dynamics of vaccination.
- Drawing on game theory and theory of self-enforcing international agreements to identify the levels of international cooperation necessary to reach optimal and more uniform regional vaccination coverage.
