Introduction and snapshot review: Relating infectious disease transmission models to data |
| |
| Authors: | Philip D. O'Neill |
| |
| Affiliation: | School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, U.K. |
| |
| Abstract: | Disease transmission models are becoming increasingly important both to public health policy makers and to scientists across many disciplines. We review some of the key aspects of how and why such models are related to data from infectious disease outbreaks, and identify a number of future challenges in the field. Copyright © 2010 John Wiley & Sons, Ltd. |
| |
| Keywords: | epidemic models infectious diseases stochastic epidemic models data augmentation Bayesian inference Markov chain Monte Carlo methods |
|
|
