53 Epizód

  1. HIV and the AIDS epidemic - past, present and future

    Közzétéve: 2014. 05. 30.

  2. Temporal epidemic dynamics in the presence of contact network structure

    Közzétéve: 2013. 09. 18.

  3. Is HIV short-sighted? Insights from a multistrain nested model

    Közzétéve: 2013. 09. 16.

  4. Integrating viral epidemiology and evolution

    Közzétéve: 2013. 09. 10.

  5. Constrained interventions in outbreak models - balancing conflicting policy objectives

    Közzétéve: 2013. 09. 09.

  6. The process of re-exposure to an infectious agent

    Közzétéve: 2013. 09. 09.

  7. Mathematical models of the evolution and epidemiology of drifting influenza

    Közzétéve: 2013. 09. 06.

  8. Bovine TB and Badgers - the science behind the controversy

    Közzétéve: 2013. 09. 05.

  9. Untangling human and animal transmission cycles of sleeping sickness

    Közzétéve: 2013. 09. 03.

  10. Fluscape

    Közzétéve: 2013. 09. 02.

  11. Recent progress in mathematical epidemiology and some future needs

    Közzétéve: 2013. 08. 27.

  12. Decision Making for Prevention/Control Under Economic Constraints

    Közzétéve: 2013. 08. 27.

  13. Models for Malaria Control and Elimination

    Közzétéve: 2013. 08. 27.

  14. Ending AIDS: Past, Present and Yet to Come

    Közzétéve: 2013. 08. 27.

  15. The role of multi-locus models in understanding within-host population dynamics

    Közzétéve: 2013. 08. 23.

  16. Recovering transmission structure and dynamics from viral sequence data

    Közzétéve: 2013. 08. 23.

  17. Whither disease ecology? Old problems and new solutions

    Közzétéve: 2013. 08. 23.

  18. Network structure consequences and control: past and future

    Közzétéve: 2013. 08. 23.

  19. Whither disease ecology? Old problems and new solutions in a complex world

    Közzétéve: 2013. 08. 23.

  20. The Evolution & Adaptation of Influenza A Viruses in Swine

    Közzétéve: 2013. 08. 23.

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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.

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