Applications of Information Theory to Epidemiology


English[eng]


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