Some challenges to make current data-driven (‘statistical’) models even more relevant to public health

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.

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.

Share Some challenges to make current data-driven (‘statistical’) models even more relevant to public health

Sign up to save your podcasts

Some challenges to make current data-driven (‘statistical’) models even more relevant to public health

Some challenges to make current data-driven (‘statistical’) models even more relevant to public health

More shows like Infectious Disease Dynamics

Philosophy

Public Lectures from the Faculty of Law, University of Cambridge

Moral Sciences Club

Faculty of Classics

Cambridge Institute of Criminology Podcast

Al-Andalus and Espana

LCIL International Law Centre Podcast

Medieval History Seminars

Darwin – Darwin College Lecture Series 2009

The State of the Universe - Stephen Hawking 70th Birthday Symposium