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Applications of Information Theory to Epidemiology

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

Links

DOI: 10.3390/books978-3-0365-0317-2

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