Kategoria BISAC: Medical >> Epidemiology

Whoever coined the adage "an ounce of prevention is worth a pound of cure" could not have known how important this adage would become. The challenge of altering the health trajectories of poor lifestyle decisions for such behaviors as smoking, drinking and using illicit drugs, violence, dropping out of school, engagement in risky sexual behaviors and crime through prevention research has led to a new discipline, prevention science.

Defining Prevention Science covers this emerging field of science: its goals, its conceptual and theoretical foundations, its methods and...

Setting out the debates and reviewing the evidence that links health outcomes with social and physical environments, this new edition of the well-established text offers an accessible overview of the theoretical perspectives, methodologies, and research in the field of health geography

• Includes international examples, drawn from a broad range of countries, and extensive illustrations
• Unique in its approach to health geography, as opposed to medical geography
• New chapters focus on contemporary concerns including neighborhoods and health, ageing, and emerging...

Biofilms in Infection and Disease Control: A Healthcare Handbook outlines the scientific evidence and rationale for the prevention of infection, the role biofilms play in infection control, and the issues concerning their resistance to antimicrobials. This book provides practical guidance for healthcare and infection control professionals, as well as students, for preventing and controlling infection.

Biofilms are the most common mode of bacterial growth in nature. Highly resistant to antibiotics and antimicrobials, biofilms are the source of more than 65 percent of health...

Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results.

After introducing example studies from the biomedical and epidemiological fields, the book formally defines the concepts that play a role in analyses with competing risks and intermediate states. It addresses nonparametric estimation of the relevant quantities. The book...

After graduating from Tripoli, Libya in 1990, Dr Benamer came to the United Kingdom in 1991 to further his training in medicine. He obtained the MRCP in 1994 and trained in neurology in Glasgow. He obtained a PhD and CCST in 2000 and was appointed a consultant neurologist in Wolverhampton and Birmingham the same year. He has been the lead neurologist in New Cross Hospital in Wolverhampton since 2006. Dr Benamer is a general neurologist with special interest in movement disorders.

Dr Benamer is honorary clinical senior lecturer in Birmingham University and has an interest in medical...

In Deadly Choices, infectious-disease...

The purpose of this book is to provide a current perspective on the epidemiology head and neck cancer. Cancers of the oral cavity, pharynx, and larynx comprise an important group of tumors with diverse international patterns of incidence and mortality, established risk factors, suggested association with a virus, and potential genetic susceptibility determinants. These tumors offer a unique insight into mechanisms of cancer initiation and progression and gene-exposure interaction.

This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today's clinicians. Practice problems at the end of each chapter and downloadable data sets...

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIMs.

The book first describes how reparameterization can assist in computing posterior quantities and providing insight into the properties...