Applications of Information Theory to Epidemiology

- Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. - The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. - In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. - New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. - New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented.