Infectious Disease Dynamics
En podcast af Cambridge University
53 Episoder
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HIV and the AIDS epidemic - past, present and future
Udgivet: 30.5.2014 -
Temporal epidemic dynamics in the presence of contact network structure
Udgivet: 18.9.2013 -
Is HIV short-sighted? Insights from a multistrain nested model
Udgivet: 16.9.2013 -
Integrating viral epidemiology and evolution
Udgivet: 10.9.2013 -
Constrained interventions in outbreak models - balancing conflicting policy objectives
Udgivet: 9.9.2013 -
The process of re-exposure to an infectious agent
Udgivet: 9.9.2013 -
Mathematical models of the evolution and epidemiology of drifting influenza
Udgivet: 6.9.2013 -
Bovine TB and Badgers - the science behind the controversy
Udgivet: 5.9.2013 -
Untangling human and animal transmission cycles of sleeping sickness
Udgivet: 3.9.2013 -
Fluscape
Udgivet: 2.9.2013 -
Recent progress in mathematical epidemiology and some future needs
Udgivet: 27.8.2013 -
Decision Making for Prevention/Control Under Economic Constraints
Udgivet: 27.8.2013 -
Models for Malaria Control and Elimination
Udgivet: 27.8.2013 -
Ending AIDS: Past, Present and Yet to Come
Udgivet: 27.8.2013 -
The role of multi-locus models in understanding within-host population dynamics
Udgivet: 23.8.2013 -
Recovering transmission structure and dynamics from viral sequence data
Udgivet: 23.8.2013 -
Whither disease ecology? Old problems and new solutions
Udgivet: 23.8.2013 -
Network structure consequences and control: past and future
Udgivet: 23.8.2013 -
Whither disease ecology? Old problems and new solutions in a complex world
Udgivet: 23.8.2013 -
The Evolution & Adaptation of Influenza A Viruses in Swine
Udgivet: 23.8.2013
On 1 January 2013, it will be twenty years since Epidemic Models started as a 6-month programme in the first year of the Isaac Newton Institute for Mathematical Sciences. Since then, the field has grown enormously, in topics addressed, methods and data available (e.g. genetics/genomics, immunological data, social, contact, spatial, and movement data were hardly available at the time). Apart from these advances, there has also been an increase in the need for these approaches because we have seen the emergence and re-emergence of infectious agents worldwide, and the complexity and non-linearity of infection dynamics, as well as effects of prevention and control, are such that mathematical and statistical analysis is essential for insight and prediction, now more than ever before. Read more at http://www.newton.ac.uk/programmes/IDD/. Image from The New England Journal of Medicine, Gardy, 'Whole-Genome Sequencing and Social-Network Analysis of a Tuberculosis Outbreak', Volume 364, pp 730-9. Copyright ©2011 Massachusetts Medical Society. Reprinted with permission from Massachusetts Medical Society.
