TY  - GEN
AU  - Hughes,Gareth
AU  - Hughes,Gareth
TI  - Applications of Information Theory to Epidemiology
SN  - books978-3-0365-0317-2
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - Biology, life sciences
KW  - Ebola model
KW  - Caputo derivative
KW  - Caputo–Fabrizio derivative
KW  - Atangana–Baleanu derivative
KW  - numerical results
KW  - entropy
KW  - information theory
KW  - multiple diagnostic tests
KW  - mutual information
KW  - relative entropy
KW  - balance
KW  - Jensen–Shannon divergence
KW  - observational study
KW  - selection bias
KW  - probability
KW  - forecast
KW  - likelihood ratio
KW  - positive predictive value
KW  - negative predictive value
KW  - diagnostic information
KW  - Shannon entropy
KW  - epidemic model
KW  - transient behavior
KW  - vaccination and treatment intervention controls
KW  - diagnostic test
KW  - evaluation
KW  - ROC curve
KW  - PROC curve
KW  - binormal
KW  - prevalence
KW  - Bayes’ rule
KW  - leaf plot
KW  - expected mutual information
KW  - predictive ROC curve
KW  - PV-ROC curve
KW  - SS-ROC curve
KW  - SS/PV-ROC plot
KW  - empirical
KW  - urinary bladder cancer
KW  - sensitivity
KW  - specificity
KW  - HIV/AIDS epidemic
KW  - regression model
KW  - Newton–Raphson procedure
KW  - Fisher scoring algorithm
KW  - time series
KW  - early detection
KW  - Asiatic citrus canker
KW  - latent class
KW  - field diagnostic
KW  - scent signature
KW  - direct assay
KW  - deployment
KW  - average mutual information
KW  - stochastic processes
KW  - deterministic dynamics
KW  - n/a
N1  - Open Access
N2  - • 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
UR  - https://mdpi.com/books/pdfview/book/3590
UR  - https://directory.doabooks.org/handle/20.500.12854/68569
ER  -