Veterinary Epidemiologic Research


Book Description




Veterinary Epidemiology


Book Description

Basic principles. Epidemiologic concepts. Sampling methods. Measurement of disease frequency and production. Studying disease in animal populations. Descriptive epidemiology. Disease causation. Surveys and analytic observational studies. Design of field trials. Theoretical epidemiology: systems analysis and modeling. Animal health economics. Applied epidemiology. Rationale, strategies, and concepts of animal disease control. Monitoring disease and production. Field investigations.




Veterinary Epidemiology


Book Description

This successful book, now in its third edition, continues to provide a comprehensive introduction to the role of epidemiology in veterinary medicine. Since the publication of the second edition there has been considerable expansion in the application of veterinary epidemiology: more quantitative methods are available, challenges such as the epidemic of foot-and-mouth disease in Europe in 2001 have required epidemiological investigation, and epidemiological analyses have taken on further importance with the emergence of evidence-based veterinary medicine. In this edition: Completely revised and expanded chapters; Increased attention given to the principles and concepts of epidemiology, surveillance, and diagnostic-test validation and performance; Many examples are drawn from both large and small animal medicine, and from the developing as well as the developed world This paperback edition includes a new section on risk analysis. Veterinary Epidemiology is an invaluable reference source for veterinary general practitioners, government veterinarians, agricultural economists and members of other disciplines interested in animal disease. It will also be essential reading for undergraduate and intermediate-level postgraduate students of epidemiology.




Veterinary Clinical Epidemiology


Book Description

Ideal for veterinary students, residents and clinicians, the fourth edition of this bestselling textbook has been fully updated in line with developments in research and teaching. The logical chapter progression reflects the stages in a clinical case work-up and how epidemiological concepts and methods contribute. This new edition provides guidelines for improving patient and population health outcomes, and detecting emerging diseases through systematic evaluation of patient encounters and electronic medical records incorporates new methodologies and concepts drawn from the recent veterinary practice literature updates chapter content including expanded coverage of risk, statistical and economic analyses, and surveillance for emerging diseases more than 60 examples of clinical research drawn from the international veterinary practice literature presented as structured abstracts; follow-up questions invite the reader to participate in the analysis of results online links to full text versions of more than half of structured abstracts and more than 40% of the book’s 174 literature citations updates the listing and review of public and private online resources, including guidelines for online literature searching and critical evaluation of clinical reports. Today’s veterinary curricula places greater emphasis on experiential/problem-based learning versus discipline-oriented instruction. This fourth edition is ideally suited to introduce epidemiologic concepts and methodologies to veterinary students in the context of the patient encounter, and should be of use at any point in the veterinary curriculum.




Encyclopedia of Epidemiology


Book Description

Presents information from the field of epidemiology in a less technical, more accessible format. Covers major topics in epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and more. Relevant topics from related fields such as biostatistics and health economics are also included.




Veterinary Epidemiology


Book Description

Are you studying a course in veterinary epidemiology? Do you need a book that explains epidemiology in an understandable way? Dirk Pfeiffer is Professor of Veterinary Epidemiology at the Royal Veterinary College in London, UK. He has designed and taught international training courses in epidemiology all over the developed and developing world, from Australia to Vietnam. He currently provides scientific expertise to the European Food Safety Authority, the European Commission, DEFRA, the United Nation’s Food and Agriculture Organization and various national governments. He has over 20 year’s practical experience in the field and continues to work on some of the most high profile cases of global animal health. Dirk brings his wealth of knowledge to this concise introduction to the subject. This book covers all the core principles you need to know for your epidemiology course, including: The basic epidemiological concepts Understanding and designing epidemiological studies Measuring cause-effect relationships Statistical analysis and bias Sampling methodology Interpreting diagnostic tests The basic concepts of disease control and eradication The book will also be of use to animal health professionals who need an easy-to-understand introduction to the subject




Concepts of Epidemiology


Book Description

First edition published in 2002. Second edition published in 2008.




Disaster Epidemiology


Book Description

Disaster Epidemiology: Methods and Applications applies the core methods of epidemiological research and practice to the assessment of the short- and long-term health effects of disasters. The persistent movement of people and economic development to regions vulnerable to natural disasters, as well as new vulnerabilities related to environmental, technological, and terrorism incidents, means that in spite of large global efforts to reduce the impacts and costs of disasters, average annual expenditures to fund rebuilding from catastrophic losses is rising faster than either population or the gross world product. Improving the resilience of individuals and communities to these natural and technological disasters, climate change, and other natural and manmade stressors is one of the grand challenges of the 21st century. This book provides a guide to disaster epidemiology methods, supported with applications from practice. It helps researchers, public health practitioners, and governmental policy makers to better quantify the impacts of disaster on the health of individuals and communities to enhance resilience to future disasters. Disaster Epidemiology: Methods and Applications explains how public health surveillance, rapid assessments, and other epidemiologic studies can be conducted in the post-disaster setting to prevent injury, illness, or death; provide accurate and timely information for decisions makers; and improve prevention and mitigation strategies for future disasters. These methods can also be applied to the study of other types of public health emergencies, such as infectious outbreaks, emerging and re-emerging diseases, and refugee health. This book gives both the public health practitioner and researcher the tools they need to conduct epidemiological studies in a disaster setting and can be used as a reference or as part of a course. - Provides a holistic perspective to epidemiology with an integration of academic and practical approaches - Showcases the use of hands-on techniques and principles to solve real-world problems - Includes contributions from both established and emerging scholars in the field of disaster epidemiology




Introduction to Veterinary Epidemiology


Book Description

Introduction to Veterinary Epidemiology provides the basics of veterinary epidemiology to the undergraduate and graduate students. The outline of the book follows the necessary steps involved in planning, conducting and analyzing an epidemiological study. These steps include establishing the objective and hypothesis, defining risk factors and outcome, selecting an appropriate study design, determining relevant measures of disease frequency, association and effect, sample size considerations, conducting the study, managing the data in databases and finally analyzing the data. The process takes off in the concepts and theories that form the basis of veterinary epidemiology and includes a solid introduction to data with respect to nature, management and analysis. The examples used to illustrate the different elements of data analysis are given in appendices as SAS code and R code to help getting started on the data analysis. This book is a collaboration between authors with solid backgrounds within veterinary, mathematical, statistical and computer sciences. They have years of experience in teaching at the undergraduate as well as graduate and postgraduate level. Each chapter has been reviewed by leading international veterinary epidemiologists. The programs and data sets can be downloaded from www.itve.dk




Applications of Novel Analytical Methods in Epidemiology


Book Description

The repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemiology that have been borrowed from such disciplines has offered opportunities to advance the study of disease dynamics in animal populations, to improve and guide decision-making related to disease prevention, control, or eradication. Furthermore, the need to explore new analytical methods for veterinary epidemiology has been driven by the increasing availability and complexity of animal disease data. The objective of this e-book is to contribute to current methods in epidemiology by 1) presenting and discussing novel analytical tools that help advance our understanding of epidemiology; and 2) demonstrating how inferences emerging from the application of novel analytical tools can be incorporated into decision-making related to animal health. The e-book constitutes a collection of articles that explore the applications of a variety of analytical methods such as machine learning, Bayesian risk assessment and an advanced form of social network analysis in the modern epidemiologic study of animal diseases.