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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Μορφή:	Online
Γλώσσα:	Αγγλικά
Έκδοση:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Θέματα:	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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
Διαθέσιμο Online:	ONIX_20210501_9783036503165_315
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Applications of Information Theory to Epidemiology

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