This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework.
This text gathers the weaknesses revealed during recent infections outbreaks and organizes them into a guide for combating the trends in emerging infections as they relate to hospital preparedness.
"e;Mosquitoes - Identification, Ecology and Control"e; presents a wealth of information on the bionomics, systematics, ecology, research techniques and control of both nuisance and disease vector mosquitoes.
R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition.
Healthcare IT is under tremendous pressure in today's environment: Budgets are shrinking; staff are in short supply; cloud, mobile, and data are driving expansion and innovation.
This book describes some of the key epidemiological principles, scientific approaches and quality assurance frameworks required to design and conduct biobank studies in various settings.
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.
Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests.
This book provides the reader with a comprehensive set of instructions and examples of how to perform a cost-benefit analysis (CBA) of a health intervention.
While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results.
The book focuses on the iodine deficiency, endemic fluorosis, endemic arsenic poisoning, Kashin-Beck disease and Keshan disease which are five kinds of national key endemic diseases, a total of six chapters, comprehensively systematically introduces the information of five kinds of endemic diseases, including the epidemic characteristics, clinical manifestation, diagnosis standards, and the current control situation, preventive strategy, working experience, and successful control cases, etc.
Value of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research.
Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times.
THE GROUNDBREAKING, FORMATIVE WORK IN SPATIAL EPIDEMIOLOGY -- NOW UPDATED FOR A NEW GENERATION OF RESEARCH AND PRACTICE IN PUBLIC HEALTHIn 2003, Neighborhoods and Health codified the idea that a neighborhood's social and physical makeup can influence the health of people who live in it.
Molecular Aspects of Alcohol and Nutrition is a valuable resource for nutrition researchers and nutritionists who study or treat alcohol-related diseases.
A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results.
Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs.
This second edition of the highly successful Easy Guide to OSCEs for Clinical Specialties provides a comprehensive yet succinct resource to get you through each clinical rotation, as well as the Final exam.
With the critical role of statistics in the design, conduct, analysis and reporting of clinical trials or observational studies intended for regulatory purposes, numerous guidelines have been issued by regulatory authorities around the world focusing on statistical issues related to drug development.
A valuable new edition of the trusted, practical guide to managing data in clinical trials Regardless of size, type, or complexity, accurate results for any clinical trial are ultimately determined by the quality of the collected data.
This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research.
Case Studies in Infection Control has 25 cases, each focusing on an infectious disease, which illustrate the critical aspects of infection control and prevention.
This textbook introduces the core competencies, tools and perspectives to manage free-ranging animal population health and demonstrates their need and relevance to help wildlife cope with the ever-increasing pressures of the Anthropocene, manifested by global megatrends such as climate change, urbanization and pollution.
When many of us picture the areas surrounding the North Pole, we imagine barren landscapes, wintry conditions, and sparse human and animal populations.
Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time.
Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped.
Public health in the early 21st century increasingly considers how social inequalities impact on individual health, moving away from the focus on how disease relates to the individual person.
