Applications Of Information Theory To Epidemiology
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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 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.
The Population Dynamics of Infectious Diseases: Theory and Applications
Since the beginning of this century there has been a growing interest in the study of the epidemiology and population dynamics of infectious disease agents. Mathematical and statistical methods have played an important role in the development of this field and a large, and sophisticated, literature exists which is concerned with the theory of epidemiological processes in popu lations and the dynamics of epidemie and endemie disease phenomena. Much ofthis literature is, however, rather formal and abstract in character, and the field has tended to become rather detached from its empirical base. Relatively little of the literature, for example, deals with the practical issues which are of major concern to public health workers. Encouragingly, in recent years there are signs of an increased awareness amongst theoreticians of the need to confront predictions with observed epidemiological trends, and to pay elose attention to the biological details of the interaction between host and disease agent. This trend has in part been stimulated by the early work of Ross and Macdonald, on the transmission dynamics of tropical parasitic infections, but a further impetus has been the recent advances made by ecologists in blending theory and observation in the study of plant and animal populations.
Applied Epidemiology
Author: Ross C. Brownson
language: en
Publisher: Oxford University Press, USA
Release Date: 1998
Focusing on areas of public health practice in which the systematic application of epidemiologic methods can have a large and positive impact, this text applies traditional epidemiologic methods for determining disease etiology to the "real-life" applications of public health and health services research. Brownson and Petitti--true to their belief that epidemiology is the diagnostic discipline of public health--provide a much-needed book that bridges the gap between theoretical epidemiology and public health practice. Their uniquely comprehensive coverage includes a number of topics not traditionally addressed by other epidemiology texts. Twelve chapters offer a thorough, in-depth analysis of the important issues, methods, problems, and limitations within applied epidemiology. Following an introduction, three overview chapters detail study design and interpretation, outbreak and cluster investigations, and public health surveillance. The remaining chapters highlight key issues and provide practical recommendations on eight contemporary topics, such as community intervention trials, outcomes research, risk assessment, screening, and cost-benefit analysis. The editors--both very well-known researchers in the field--have compiled reviews with direct relevance to or a strong basis in epidemiology. All chapters have been authored by recognized authorities in the field of epidemiology and public health. Case studies of actual programs at the end of each chapter illustrate major points and provide a foundation for more detailed discussions. Applied Epidemiology is intended for practitioners in epidemiology, and students in epidemiology and related disciplines that rely heavily on epidemiologic methods and reasoning. It will be a practical and informative tool in academic institutions, federal agencies with significant educational missions, state and local public health agencies, and health care organizations.