Epidemiological Data and Model Requirements to Support Policy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Often, the task of epidemiological modelling is seen as one of im- proving biological and social realism, with increasing data availabil- ity enabling increased realism. Here, we consider ways in which models designed to support policy have di erent data and algorith- mic requirements from those aiming at realism or insight, via a series of case studies. In particular, calculation and communication of uncertainty is often more important than re nement of model structure without con rmation of validity.

Bibliographical metadata

Original languageEnglish
Title of host publicationProceedings of the ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK)
Pages45-49
Number of pages5
Publication statusAccepted/In press - 13 Jun 2018