title: Introduction and snapshot review: relating infectious disease transmission models to data.
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.
authors.affiliation: School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, U.K. philip.oneill@nottingham.ac.uk
authors.forename: Philip D
authors.initials: PD
authors.lastname: O'Neill
mesh_terms: D056808:Biostatistics; D003141:Communicable Diseases / Q000635:transmission*; D018562:Disease Transmission, Infectious / Q000706:statistics & numerical data*; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D013269:Stochastic Processes