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...
Saved in:
Sonstige: | |
---|---|
Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (238 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | • 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. |
---|---|
Access: | Open access |
Hierarchical level: | Monograph |