Continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, Gordis Epidemiology, 7th Edition, provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. Written by Drs. David D Celentano, Moyses Szklo, and Youssef Farag of Johns Hopkins University, this bestselling text is known for its reader-friendly, accessible writing style and practical approach to a complex and challenging subject, making it a favorite text of students as well as an ideal resource for health care providers, health policy makers, and epidemiologists at all levels of training and practice.Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information.Includes new examples and cases reflecting modern epidemiology, including lessons from the COVID-19 pandemic and other current topics of interest.Reflects how epidemiology is practiced today, with chapters progressing from observation and developing hypotheses to data collection and analyses.Features end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology.Provides more than 200 additional multiple-choice self-assessment questions online.Provides a strong basis for understanding the role and importance of epidemiology in today’s data-driven society.An eBook version is included with purchase. The eBook allows you to access all of the text, figures, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud. Evolve Instructor site with an image/table collection, test bank, and more is available to instructors through their Elsevier sales rep or via request at https://evolve.elsevier.com. Read more

From the Department of Epidemiology at Johns Hopkins University and continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, comes the fully revised 6th Edition of Gordis Epidemiology. This bestselling text provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. New coverage includes expanded information on genetic epidemiology, epidemiology and public policy, and ethical and professional issues in epidemiology, providing a strong basis for understanding the role and importance of epidemiology in today’s data-driven society.Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information.Reflects how epidemiology is practiced today, with a new chapter organization progressing from observation and developing hypotheses to data collection and analyses.Features new end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology. Provides more than 200 additional multiple-choice epidemiology self-assessment questions online.Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices. Read more

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Epidemiology for Public Health Practice is a best-selling text offering comprehensive coverage of all the major topics in introductory epidemiology and alignment to the core competencies in epidemiology for graduate and undergraduate courses. With extensive treatment of the heart of epidemiology―from study designs to descriptive epidemiology to quantitative measures―this reader-friendly text is accessible and interesting to a wide range of beginning students in all health-related disciplines. A unique focus is given to real-world applications of epidemiology and the development of skills that students can apply in subsequent course work and in the field. Significantly updated, the new Sixth Edition offers:• New chapter on epidemiology and policy• Increased emphasis on health disparities, genetic epidemiology, and current epidemics (e.g., the opioid epidemic, cannabis misuse, and gun violence)• Coverage of data acquisition (big data), wearable technology for collecting health data, climate change, and more.• Unique chapters on psychosocial epidemiology, environmental and occupation health, molecular and genetic epidemiology, and career options • Refreshed examples, updated tables and figures throughout the text Read more

Learn to assess published research in this best-selling introduction to evidence-based healthcareEvidence-based practices have revolutionized medical care. Clinical and scientific papers have something to offer practitioners at every level of the profession, from students to established clinicians in medicine, nursing and allied professions. Novices are often intimidated by the idea of reading and appraising the research literature. How to Read a Paper demystifies this process with a thorough, engaging introduction to how clinical research papers are constructed and how to evaluate them. Now fully updated to incorporate new areas of research, readers of the seventh edition of How to Read a Paper will also find: A careful balance between the principles of evidence-based healthcare and clinical practiceNew chapters covering consensus methods, mechanistic evidence, big data and artificial intelligenceDetailed coverage of subjects like assessing methodological quality, systemic reviews and meta-analyses, qualitative research, and more.How to Read a Paper is ideal for all healthcare students and professionals seeking an accessible introduction to evidence-based healthcare – particularly those sitting undergraduate and postgraduate exams and preparing for interviews. Read more

In the short, turbulent history of AIDS research and treatment, the boundaries between scientist insiders and lay outsiders have been crisscrossed to a degree never before seen in medical history. Steven Epstein's astute and readable investigation focuses on the critical question of "how certainty is constructed or deconstructed," leading us through the views of medical researchers, activists, policy makers, and others to discover how knowledge about AIDS emerges out of what he calls "credibility struggles."Epstein shows the extent to which AIDS research has been a social and political phenomenon and how the AIDS movement has transformed biomedical research practices through its capacity to garner credibility by novel strategies. Epstein finds that nonscientist AIDS activists have gained enough of a voice in the scientific world to shape NIH–sponsored research to a remarkable extent. Because of the blurring of roles and responsibilities, the production of biomedical knowledge about AIDS does not, he says, follow the pathways common to science; indeed, AIDS research can only be understood as a field that is unusually broad, public, and contested. He concludes by analyzing recent moves to democratize biomedicine, arguing that although AIDS activists have set the stage for new challenges to scientific authority, all social movements that seek to democratize expertise face unusual difficulties.Avoiding polemics and accusations, Epstein provides a benchmark account of the AIDS epidemic to date, one that will be as useful to activists, policy makers, and general readers as to sociologists, physicians, and scientists. Read more

Needs and Capacity Assessment Strategies for Health Education and Health Promotion, Fourth Edition provides practitioners with a handbook that can be used in the classroom and in the field. It focuses on realistic needs and capacity assessment strategies with considerations for preparation, implementation, and incorporation of findings into the planning process. It also provides an overview of settings, specific target audiences, approaches to assessing needs, and recommendations for addressing problems encountered along the way. The Fourth Edition continues to be reader friendly and worthwhile in terms of practical recommendations. The twelve chapters are realistic process discussions with mini-examples at the end based on the author's experiences and those of others in the field. Case studies provide insight into various combinations of strategies used in a variety of settings. Two special articles at the end of the book provide further insight regarding community risk estimation and the use of metaphors to gain a better understanding of the perceived needs and capacities that are assessed. Read more

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Lawrence Altman has authored the only complete history of the controversial and understudied practice of self-experimentation. In telling the stories of pioneering researchers, Altman offers a history of many of the most important medical advancements in recent years as well as centuries past―from anesthesia to yellow fever to heart disease. With a new preface, he brings readers up to date and continues his discussion of the ethics and controversy that continue to surround a practice that benefits millions but is understood by few. Read more

It is an inescapable fact that causation, both generally (in populations), and specifically (in individuals), cannot be observed. Rather, causation is determined when it can be inferred that the risk of an observed injury or disease from a plausible cause is greater than the risk from other plausible causes. While many causal evaluations performed in forensic medicine are simplified by the fact that the circumstances surrounding the onset of an injury or disease clearly rules out competing causes (eg, a death following a fall), there are many cases that present a more complicated picture. It is these types of investigations, in which an analysis of comparative levels of risk from competing causes is needed to arrive at a reliable and accurate determination of the most likely cause, that forensic epidemiology (FE) is directed at.In Forensic Epidemiology, the authors present the legal and scientific theories underlying the methods by which risk is used in the investigation of individual causation. Methods and principles from epidemiology are combined with those from a multitude of other disciplines, including general medicine, pharmacology, forensic pathology, biostatistics, and biomechanics, inter alia, as a basis for investigating the plausibility of injury and disease exposures and mechanisms. The ultimate determination of the probability of causation (PC) results from an assessment of the strength of association of the investigated relationship in the individual, based on a comparison between the risk of disease or injury from the investigated exposure versus the risk of the same disease or injury occurring at the same point in time in the individual, but absent the exposure. The principles and methods described in Forensic Epidemiology will be of interest to those who work and study in the fields of forensic medicine, epidemiology, and the law.Historical perspective on how epidemiologic evidence of causation has been used in courts in the US and EuropeTheory and science underlying the use of risk to assess individual causationPrimer on epidemiologic methods, and various measures used to arrive at individualized comparative risk assessments and PCThe use of statistical methods applied to publicly available data for ad hoc analysis of PC applicable to the specific circumstances of a caseBackground on complementary disciplines, including forensic pathology, death investigation, biomechanics, and survival analysisExamples of applied FE in the investigation of traffic injury and death, automotive and other product defect litigation, medical negligence, and criminal prosecution and defense Read more

Dysimmune Neuropathies provides readers with detailed, basic information that will enable users to recognize and differentiate each neuropathy to adequately guide an investigation and create a treatment plan. An overview of recent progress, avenues for future research, and the desired benefits are also covered. The book highlights the many developments in the field that have occurred in terms of pathophysiological mechanisms, particularly immunological, that have direct implications on treatment strategies. This book is a great reference for trainees, clinicians and researchers specializing in neurology, neuromuscular diseases and neurophysiology.Encompasses all dysimmune neuropathiesDescribes clinical features, epidemiology, pathophysiology and immunologyProvides differential diagnosisIdentifies new investigation techniques Read more

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Patient management is the central clinical task of medical care. Until the 1970s, there was no generally accepted method of ensuring a scientific, critical approach to clinical decision making. And while traditional clinical authority was under attack, there was increasing concern about the way in which doctors made decisions about patient care. In this book, Jeanne Daly traces the origins, essential features, and achievements of evidence-based medicine and clinical epidemiology over the past few decades. Drawing largely on interviews with key players, she offers unique insights into the ways that practitioners of evidence-based medicine set out to generate scientific knowledge about patient care and how, in the process, they reshaped the way medicine is practiced and administered. Read more

There are three important questions for the readers to understand the motivation for this book: Why was this book written? What is this book about? And how should this book be read?Why was this book written?We first need to understand the basic learning principles to answer this question. If we can summarize in one sentence, it would be: learning comes from within. It means that we learn what is important to us. We learn what we are curious about. We learn when we connect the knowledge. Taken all together, you can agree with us that the questions are fundamental as they guide our learning. Let me make an analogy here. Suppose you are assembling a jigsaw puzzle. What is the best way? If someone gives you a random piece or asks for a certain piece (for instance, a piece for the corner that is dark blue as this is for the sky). The answer is the latter. And this is how the building of our knowledge works. When we are given random "pieces" of knowledge, they do not attach to our main knowledge, and we quickly forget about them. But when we receive the piece we are looking for, our knowledge and understanding increase significantly. This is the goal of writing this book, to help you find the pieces you need to build your knowledge of statistics. Here the reader could say: but the readers should send their questions in this case.Our solution was then to analyze thousands of questions we receive every year from our students to learn what our students were asking.What is this book about?This book is to help you to create your knowledge in statistics. Given we have students with a diverse background in statistics: from little to no knowledge of statistics to more advanced knowledge, the questions we created are based on all these levels. We hope to cover most of the questions you may have on the topics we discuss here. Is this a good book if this is your first encounter with statistics? Yes. But, in this case, we would also recommend using this book along with your course of statistics or another textbook. Though for some readers beginning in this field, this book alone may be enough to learn more. We choose to answer the questions in a simple way to be reachable no matter your level of expertise. We aimed to offer guidance through simplicity, refined ideas, creating examples, and graphics. In that sense, we hope you benefit from our explanations and engage you in a learning journey with this book.How to use this book?This book answers real questions that we have received based on our experience with about 15 years of the Principles and Practice of Clinical Research program. Among the topics, we covered the introduction to statistics, basics of clinical research, relevant statistical concepts, parametric and non-parametric tests, sample size calculation, meta-analysis and subgroup analysis, linear and logistic regression, missing data, and covariate adjustment, survival analysis, and lastly, observational studies and confounding. We selected carefully and included the most common and relevant questions from the Statistical modules. Furthermore, each chapter contains a short introduction and review of the topic. This book will provide you with the skills to understand statistics, apply them to your research and daily practice, and design a proper study. Read more