Titlebook: Mathematical Modeling in Epidemiology; James C. Frauenthal Textbook 1980 Springer-Verlag Berlin Heidelberg 1980 Epidemiologie.Modeling.bio

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Schistosomiasis Eradication,have the disease. The epidemiology of schistosomiasis is rather complicated, and is best visualized as consisting of two stages. In the first, flatworms (circariae) enter through the skin of a human who swims or bathes in infected water. Male and female worms mate within the human, and lay eggs in t

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Gonorrhea,dence of the disease in the United States has risen sharply, presumably due to changing sexual attitudes. Certain contagious diseases such as hepatitis, mumps, rubella, syphilis, etc., must be reported by physicians to public health authorities. In recent years reported cases of gonorrhea outnumber

amphibian

Sickle Cell Anemia,he red blood cells to be deformed (sickle shaped instead of flat). Victims’ blood is not able to transport oxygen properly and the vital organs are starved out; death occurs ordinarily before reproductive maturity.

archenemy

to the residuals of regression models for cross-sectional data. To date, Moran’s.statistic is still the most widely applied diagnostic for spatial dependence in regression models [e.g., Johnston (1984), King (1987), Case (1991)]. However, in spite of the well known consequences of ignoring spatial

Hiatus

James C. Frauenthalthe simple one- way ANOVA model in the presence of spatial autocorrelation, more recently extending this to N-way ANOVA and unbalanced designs [Griffith (1992b)]. This recent article highlights the need for more work on mixed and random effects unbalanced design models, which is the case in traditio

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James C. Frauenthalthe simple one- way ANOVA model in the presence of spatial autocorrelation, more recently extending this to N-way ANOVA and unbalanced designs [Griffith (1992b)]. This recent article highlights the need for more work on mixed and random effects unbalanced design models, which is the case in traditio

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arthrodesis

James C. Frauenthalnal models, was first touched upon in the 1950s. It was given its name in the early 70s by Jean Paelinck and has expanded since. Its development can be monitored in various monographs that have been published since, starting with the seminal work by Andrew Cliff and Keith Ord. Also, the wide array o

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James C. Frauenthalmore than 200 years in the framework of Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs). However, recently it has been shown that many systems in chemistry, biology, finance and social sciences present emerging features which are not easy to guess from the elementary