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Applications of Information Theory to Epidemiology
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• 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.
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Keywords
- Asiatic citrus canker
- Atangana–Baleanu derivative
- average mutual information
- balance
- Bayes’ rule
- binormal
- Biology, Life Sciences
- Caputo derivative
- Caputo–Fabrizio derivative
- deployment
- deterministic dynamics
- diagnostic information
- diagnostic test
- direct assay
- early detection
- Ebola model
- Empirical
- Entropy
- epidemic model
- Evaluation
- expected mutual information
- field diagnostic
- Fisher scoring algorithm
- forecast
- HIV/AIDS epidemic
- Information theory
- Jensen–Shannon divergence
- latent class
- leaf plot
- likelihood ratio
- Mathematics & science
- multiple diagnostic tests
- mutual information
- n/a
- negative predictive value
- Newton–Raphson procedure
- numerical results
- observational study
- positive predictive value
- predictive ROC curve
- Prevalence
- Probability
- PROC curve
- PV-ROC curve
- Reference, information & interdisciplinary subjects
- regression model
- relative entropy
- Research & information: general
- ROC curve
- scent signature
- selection bias
- sensitivity
- Shannon entropy
- Specificity
- SS-ROC curve
- SS/PV-ROC plot
- Stochastic processes
- time series
- transient behavior
- urinary bladder cancer
- vaccination and treatment intervention controls