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Author: Ross C. Brownson
Publisher:
ISBN: 9780195187410
Category : Medical
Languages : en
Pages : 392
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Book Description
Applies traditional epideiologic methods for determining disease etiology to the real-life applications of public health and health services research. This text contains a chapter on the development and use of systematic reviews and one on epidemiology and the law.
Author: Ross C. Brownson
Publisher:
ISBN: 9780195187410
Category : Medical
Languages : en
Pages : 392
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Book Description
Applies traditional epideiologic methods for determining disease etiology to the real-life applications of public health and health services research. This text contains a chapter on the development and use of systematic reviews and one on epidemiology and the law.
Author: Giuseppe La Torre
Publisher: SEEd
ISBN: 8889688564
Category : Medical
Languages : en
Pages : 400
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Book Description
This book provides not only the theory of biostatistics, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described.
Author: Jos W. R. Twisk
Publisher: Cambridge University Press
ISBN: 110703003X
Category : Medical
Languages : en
Pages : 337
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Book Description
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
Author: Michael B. Gregg
Publisher:
ISBN: 0195313801
Category : Medical
Languages : en
Pages : 593
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Book Description
Field epidemiology involves the application of epidemiologic methods to unexpected health problems when a rapid on-site investigation is necessary for timely intervention. Based on decades of experience in both infectious and noninfectious diseases at the Centers for Disease Control and Prevention, this book describes in simple and practical terms the distinct approach, tasks, and actions needed for successful field investigations. Guidance is given on such issues as how to perform surveillance, manage and execute field investigations, collect and analyze data, perform surveys, adapt a personal computer for field use, and communicate the findings. Specific advice is also given on such subjects as dealing with the media; investigations in health care, day care, and international settings; and the legal aspects of field studies. An entire chapter covers the proper collection, handling, and testing of infectious and noninfectious agents in the field. In the Second Edition, four new chapters cover many unique aspects of field studies in the workplace, after natural disasters, in preparation for and response to possible bioterrorist attacks, and by state and local health departments. Finally, an appendix describes how to investigate a common source food-borne epidemic. This text gives public health professionals and students a practical and complete refernece to use in virtually any field investigation setting.
Author: Maia Martcheva
Publisher: Springer
ISBN: 1489976124
Category : Mathematics
Languages : en
Pages : 462
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Book Description
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.
Author: Fred Brauer
Publisher: Springer Science & Business Media
ISBN: 1475735162
Category : Science
Languages : en
Pages : 432
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Book Description
The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology. Part I focusses on single species simple models including those which have been used to predict the growth of human and animal population in the past. Single population models are, in some sense, the building blocks of more realistic models -- the subject of Part II. Their role is fundamental to the study of ecological and demographic processes including the role of population structure and spatial heterogeneity -- the subject of Part III. This book, which will include both examples and exercises, is of use to practitioners, graduate students, and scientists working in the field.
Author: Peter J. Fos
Publisher: John Wiley & Sons
ISBN: 1119398835
Category : Medical
Languages : en
Pages : 556
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Book Description
A new edition of the comprehensive and practical introduction to managerial epidemiology and population health Managerial Epidemiology for Health Care Organizations has introduced the science of epidemiology and population health to students and practitioners in health management and health services for over sixteen years. The book covers epidemiology basics, introducing principles and traditional uses, and then expertly showing its contemporary uses in planning, evaluating, and managing health care for populations and the practical application in health care management. The book’s practical and applied approach, with real-world examples sprinkled throughout, has made it the go-to book for managerial epidemiology and population health courses. Since the second edition was published in 2005, the health care landscape has undergone significant changes. Passage of the Patient Protection and Affordable Care Act and the incorporation of ICD-10 have impacted the entire health care system. This newly updated third edition will address these two significant changes, as well as several others that have taken place. It also features new chapters on reimbursement approaches and managing infection outbreaks, as well as updates to the four case study chapters that anchor the book. Witness how epidemiological principles are applied to the delivery of health care services and the management of health care organizations Examine the major changes brought on by the passage of health care reform and incorporation of ICD-10 Discover the core epidemiology principles and see how they are applied in planning, evaluating, and managing health care for populations If you’re a student or professional in any area of health services, including health administration, nursing, and allied health, then Managerial Epidemiology for Health Care Organizations is the perfect book for you. It successfully demonstrates how health care executives can incorporate the practice of epidemiology into their various management functions and is rich with current examples, concepts, and case studies that reinforce the essential theories, methods, and applications of managerial epidemiology.
Author: Mark Woodward
Publisher: CRC Press
ISBN: 1482243202
Category : Mathematics
Languages : en
Pages : 844
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Book Description
Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third Edition New chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines Many more exercises and examples using both Stata and SAS More than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web Resource A wealth of supporting material can be downloaded from the book’s CRC Press web page, including: Real-life data sets used in the text SAS and Stata programs used for examples in the text SAS and Stata programs for special techniques covered Sample size spreadsheet
Author: Timothy L. Lash
Publisher: Springer Science & Business Media
ISBN: 0387879595
Category : Medical
Languages : en
Pages : 200
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Book Description
Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.
Author: Annemien Haveman-Nies
Publisher:
ISBN: 9789086863051
Category : Epidemiology
Languages : en
Pages : 368
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Book Description
Over the past decades, epidemiology has made a relevant contribution to public health by identifying health problems and analysing their determinants. Recent developments call for new and applied methods to support the planning, implementation and evaluation of public health policies and programmes. This book presents an integrated overview of such epidemiological methods, to be used within the joined working process of several public health disciplines. It provides relevant theories, concepts and tools, illustrated with practical examples in order to empower epidemiologists in public health.The first part of this book describes epidemiological history in a nutshell and explains the relationship with the public health domain. It closes with the presentation of a joint work cycle for policy, practice and research: the public health cycle.Part two presents seven steps epidemiologists should follow to strengthen their contribution to the public health cycle: conduct a needs assessment, support priority setting, formulate aims and objectives, construct a logic model, develop an evaluation plan, perform quality control, and analyse processes and outcomes.Part three illustrates the institutional architecture of public health and describes the professional fields of policy and health promotion as knowledge of these major fields facilitates interdisciplinary collaboration in each stage of the public health cycle.This book is intended for students and epidemiologists in public health practice. It was written by 20 Dutch authors with either longstanding experience or fresh enthusiasm. The editors are all affiliated with Academic Collaborative Centres for Public Health in the Netherlands, which aim to bridge the gap between policy, practice and research.
