Titlebook: Epidemics of Plant Diseases; Mathematical Analysi Jürgen Kranz Book 1990Latest edition Springer-Verlag Berlin Heidelberg 1990 Epidemics.Epi

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Multiple Regression Analysis in the Epidemiology of Plant Diseases,chematically and illustrates the main features which are of interest to the epidemiologist. Mathematical analysis of the whole system or a part of it can lead directly to improvements in disease control.

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Nonlinear Disease Progress Curves,nteraction of pathogen, host, and environment in disease development (Van der Plank, 1963; Kranz, 1974a, 1978). Whether an investigator is interested in understanding an epidemic process or merely wishes to compare two or more epidemics, disease progress curves must be prepared, quantified, and analyzed.

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Mathematics and Statistics for Analyses in Epidemiology,ments which are related and form a structure. They obey mathematical principles, and are best described and explained by mathematical models. Mathematical methods and models are tools for elucidating elements, structures, and effects of the three populations involved in epidemics.

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Mathematical Analysis and Modeling of Spatial Aspects of Plant Disease Epidemics,erience. Implicit in any definition of an epidemic is the concept of change, of disease dynamics in time and in space. It is a truism that temporal change has attracted more attention than change in the spatial dimensions (Jeger, 1989). The question may legitimately be asked whether this is due to a