This book - now in second edition - is to serve in both research and teaching of plant disease epidemiology. It will be of use not only for the plant pathologist, but might introduce ecologists, entomologists, plant breeders and medical epidemiologists to approaches and mathematical tools for the analysis and modeling of epidemics caused by microorganisms.

Inhalt
I Epidemics, Their Mathematical Analysis and Modeling: An Introduction.- 1. Concepts and Scope of Epidemiology.- 2. Mathematics in Epidemiology.- 3. Models and Their Role in Epidemiology.- 4. Mathematical Analysis of Epidemics.- 5. Models as Synoptics Tools.- 6. Outlook.- 7. References.- II Mathematics and Statistics for Analysis in Epidemiology.- 1. Introduction.- 2. Experimentation in Epidemiology.- 3. Common Mathematical Analyses.- 4. Multivariate Analyses.- 5. Other Mathematical Methods.- 6. Concluding Remarks.- References.- III Mathematical Analysis and Modeling of Spatial Aspects of Plant Disease Epidemics.- 1. Introduction.- 2. Populations Changing in Space.- 3. Population Models of Spatial Change.- 4. Spatial and Temporal Spread of Disease.- References.- IV Mathematical Modeling and Analysis of Soilborne Pathogens.- 1. Introduction.- 2. Conceptual Models for Subterranean Epidemics.- 3. Analysis of Subterranean Epidemics.- References.- V Multiple Regression Analysis in the Epidemiology of Plant Diseases.- 1. Introduction.- 2. The Nature of Multiple Regression Analysis in Epidemiology.- 3. The Execution of Multiple Regression Analysis.- 4. The Interpretation of Relationships Exposed by Multiple Regression Analysis.- 5. The Applications of Multiple Regression Analysis in Epidemiology.- 6. Conclusions: The Place of Multiple Regression in CurrentApproaches to Epidemic Analysis.- References.- VI Nonlinear Disease Progress Curves.- 1. Introduction.- 2. Linear and Nonlinear Models.- 3. Models of Disease Progression.- 4. Model Selection and Parameter Estimation.- 5. Model Extensions.- 6. Discussion.- References.- VII Assembling and Using Models of Epidemics.- 1. Introduction.- 2. The Classes of Models.- 3. Accuracy of Models.- 4. Summaries by Regression Equations.- 5. Analytic Equations.- 6. Simulators of Disease.- 7. Dispersal.- 8. Models of Crops and Pests.- References.