Titlebook: Comparative Epidemiology of Plant Diseases; Jürgen Kranz Book 2003 Springer-Verlag Berlin Heidelberg 2003 Crustaceans, nervous system.Epid

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Ingenuity

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Introduction, to catch and encapsulate scientists who then might generalize beyond their results; this often leads to far-reaching, but premature hypotheses on epidemiological aspects. More consolidated hypotheses, however, can be obtained when diseases and their epidemics are compared with others. Comparative e

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Plant Disease Epidemiology and the Scope of Across-Comparison,nder the influence of environmental factors and human interference. Epidemiology is the ecological branch of plant pathology and it is dealt with exhaustively in a number of textbooks: Zadoks and Schein (1979), Campbell and Madden (1990), Rapilly (1991), Nagarajan and Muralidharan (1995), Bergamin F

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On the Methodology of Comparative Epidemiology, pathosystems under study. Comparative studies on hypotheses begin with a clearly formulated objective and the choice of essential and meaningful criteria. The methods to be used are the ones accepted and appropriate in epidemiological research as described, for instance, in Kranz and Rotem (1988) a

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Comparison of Temporal Aspects of Epidemics: The Disease Progress Curves,s y over time t on the x-axis. Naturally, disease progress is non-linear, though it may be adequately described by linear statistical methods, if necessary after appropriate transformation. Epidemics, as strongly influenced by variable or heterogeneous external factors are, by nature, rather stochas

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Comparison of Spatial Aspects of Epidemics,her localities and factors affecting their persistence there; and, of course, ways and means of how to prevent invasion and persistence. There are excellent quantitative reviews of type 2 (Sect. 3.2.2.2) spatial and spatio-temporal aspects of plant diseases: Gregory (1968); Barker and Noe (1988); Gi

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Comparison of the Effects of Epidemics,ve, rational and less hazardous disease management in systems control and design. Comparative epidemiology could also play a role in the validation of proposed solutions and improvements using criteria and procedures described in the preceding chapters. For example, Binns et al. (2000) elaborate on