Predicting disease dynamics in wildlife
Datasets on disease spread in human and wildlife populations are increasing in size and variety. This project will address how can we best understand and predict host-pathogen dynamics in wildlife populations and whether we can predict the risk posed to human populations from zoonoses through the study of their dynamics in their wildlife reservoirs.
We have also written a Disease Model Simulator (click to go to tool page) to accompany the publications below which allows the user to investigate our theoretical model of cowpox-like diseases in rodent populations.
People
Publications
- Matthew J. Smith, Sandra Telfer, Eva R. Kallio, Sarah Burthe, Alex R. Cook, Xavier Lambin, and Michael Begon, Host-pathogen time series data in wildlife support a transmission function between density and frequency dependence, in Proceedings of the National Academy of Sciences of the United States of America, 106(19), pp. 7905-7909, 12 May 2009
- Begon, M., Telfer, S., Smith, M.J., Burthe, S., Paterson, S., Lambin, and X., Seasonal host dynamics drive the timing of recurrent epidemics in a wildlife, in Proceedings of the Royal Society B: Biological Sciences, 20 January 2009
- M. Begon, S. Telfer, S. Burthe, X. Lambin, M. Smith, and S. Paterson, Effects of abundance on infection in natural populations: field voles and cowpox virus., in Epidemics, 6 October 2008
