Applications of Information Theory to Epidemiology

• Other Authors: Hughes, Gareth (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Research & information: general; Biology, life sciences; Ebola model; Caputo derivative; Caputo-Fabrizio derivative; Atangana-Baleanu derivative; numerical results; entropy; information theory; multiple diagnostic tests; mutual information; relative entropy; balance; Jensen-Shannon divergence; observational study; selection bias; probability; forecast; likelihood ratio; positive predictive value; negative predictive value; diagnostic information; Shannon entropy; epidemic model; transient behavior; vaccination and treatment intervention controls; diagnostic test; evaluation; ROC curve; PROC curve; binormal; prevalence; Bayes' rule; leaf plot; expected mutual information; predictive ROC curve; PV-ROC curve; SS-ROC curve; SS/PV-ROC plot; empirical; urinary bladder cancer; sensitivity; specificity; HIV/AIDS epidemic; regression model; Newton-Raphson procedure; Fisher scoring algorithm; time series; early detection; Asiatic citrus canker; latent class; field diagnostic; scent signature; direct assay; deployment; average mutual information; stochastic processes; deterministic dynamics; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

• 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.