Mayo Clinic Infectious Disease Case Review is a comprehensive collection of case studies covering a wide array of infectious diseases. This volume addresses many common illnesses that primary care clinicians and infectious diseases specialists will see during their practice. With a focus on epidemiology, the investigative study of each case addresses laboratory tools to be used and how to interpret the results. This volume contains: * 54 unique case vignettes * Highlighted key takeaways for each case * Practice questions and answers for review Mayo Clinic Infectious Disease Case Review collects some of the most experienced voices in the field. Coming from different areas of expertise in the specialty of epidemiology, the authors of this volume robustly investigate and examine specific infection syndromes. This book will be useful to busy clinicians for their treatment of different infectious diseases in their daily practice, as well as for those interested in evaluating their knowledge and familiarity with infectious diseases.

Praise for the "Second Edition: "

.".".a grand feast for biostatisticians. It stands ready to satisfy the appetite of any pharmaceutical scientist with a respectable statistical appetite." --Journal of Clinical Research Best Practices"

The "Third Edition "of "Design and Analysis of Clinical Trials "provides complete, comprehensive, and expanded coverage of recent health treatments and interventions. Featuring a unified presentation, the book provides a well-balanced summary of current regulatory requirements and recently developed statistical methods as well as an overview of the various designs and analyses that are utilized at different stages of clinical research and development. Additional features of this "Third Edition "include:

- New chapters on biomarker development and target clinical trials, adaptive design, trials for evaluating diagnostic devices, statistical methods for translational medicine, and traditional Chinese medicine

- A balanced overview of current and emerging clinical issues as well as newly developed statistical methodologies

- Practical examples of clinical trials that demonstrate everyday applicability, with illustrations and examples to explain key concepts

- New sections on bridging studies and global trials, QT studies, multinational trials, comparative effectiveness trials, and the analysis of QT/QTc prolongation

- A complete and balanced presentation of clinical and scientific issues, statistical concepts, and methodologies for bridging clinical and statistical disciplines

- An update of each chapter that reflects changes in regulatory requirements for the drug review and approval process and recent developments in statistical design and methodology for clinical research and development

"Design and Analysis of Clinical Trials, Third Edition "continues to be an ideal clinical research reference for academic, pharmaceutical, medical, and regulatory scientists/researchers, statisticians, and graduate-level students.

This is the first book to document comprehensively the 'state of the art' in the lifecourse epidemiology of osteoporosis. In detailed chapters, expert contributors describe the current and projected future burden of disease, developments in the understanding of risk factors for osteoporosis from cradle to grave, the underlying mechanisms, and advances in approaches to risk assessment and treatment. It is essential reading for all students on postgraduate courses in bone health, as well as an important reference for practitioners and researchers in osteoporosis, epidemiology, and related fields.

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results. The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples. The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity. Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri's research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.

The purpose of this book is to present methods for developing, evaluating and maintaining rater-mediated assessment systems. Rater-mediated assessments involve ratings that are assigned by raters to persons responding to constructed-response items (e.g., written essays and teacher portfolios) and other types of performance assessments. This book addresses the following topics: (1) introduction to the principles of invariant measurement, (2) application of the principles of invariant measurement to rater-mediated assessments, (3) description of the lens model for rater judgments, (4) integration of principles of invariant measurement with the lens model of cognitive processes of raters, (5) illustration of substantive and psychometric issues related to rater-mediated assessments in terms of validity, reliability, and fairness, and (6) discussion of theoretical and practical issues related to rater-mediated assessment systems. Invariant measurement is fast becoming the dominant paradigm for assessment systems around the world, and this book provides an invaluable resource for graduate students, measurement practitioners, substantive theorists in the human sciences, and other individuals interested in invariant measurement when judgments are obtained with rating scales.

Based on research by a leading geographer and specialist in diffusion theory, The Slow Plague discloses the geographic dimension of the AIDS pandemic. It provides a lucid description of the HIV, its origins, and the extent to which it has now permeated our lives. The author shows how the virus jumps from city to city, creating regional epicenters from which it spreads into surrounding areas.

Four case studies at different geographic scales demonstrate the devastating effects of the disease. In Africa the situation is catastrophic, in Thailand it is rapidly becoming so. In the US there are over 300,000 people with AIDS and more than one million infected by the HIV. The relationships between poverty, drugs and HIV infection are brought out poignantly in a chapter about the Bronx.

The author argues that a real understanding of AIDS has been hampered by conscious or unconscious beliefs that those affected are, and will continue to be, confined to specific minority groups and to parts of the Third World. He shows that such views have led to fundamental misconceptions about the pattern of the spread of the disease and about those who will be most at risk, now and in the immediate future.

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book is suitable for both clinicians and health or biological sciences students. It presents the reality in statistical modelling of health research data in a concise manner that will address the issue of "big data" type I error tolerance and probability value, effect size and confidence interval for precision, effect measure modification and interaction as well as confounders, thus allowing for more valid inferences and yielding results that are more reliable, valid and accurate.

Global Health continues to provide readers with a comprehensive, up-to-date and thought-provoking outline and understanding of the constantly evolving global health landscape. In this new edition the authors have maintained the successful structure and organisation of the previous edition to examine and explain recent health changes and consider likely future patterns. New or expanded topics covered include: emerging and re-emerging infectious disease threats increasing awareness of, and interest in, antimicrobial resistance and superbugs terrorism, global conflict and health the new UN 2030 Agenda for Sustainable Development the drive for Universal Health Coverage (UHC) the use of information technology in global health substance abuse palliative and end-of-life-care ethical issues in global health. Using clear and original explanations of complex issues, this text makes extensive use of boxed case studies and international examples, with discussion questions posed for readers at the end of each chapter. Readers will also be able to take advantage of the new website that was designed to complement this book. Global Health is essential reading for students and researchers of global health, public health and development studies.

The SARS epidemic of 2003 was one of the most serious public health crises of our times. The event, which lasted only a few months, is best seen as a warning shot, a wake-up call for public health professionals, security officials, economic planners, and policy makers everywhere. SARS (Severe Acute Respiratory Syndrome) is one of the new epidemics. SARS in China addresses the structure and impact of the epidemic and its short and medium range implications for an interconnected, globalized world. After initially stalling and prevaricating, the Chinese government managed to control SARS before it became a global catastrophe, an accomplishment that required political will and national mobilization. Recent warnings from the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) regarding avian flu make it clear that SARS may have been a prelude to bigger things. The contributors to this volume include a journalist, WHO's representative in Beijing, and health care professionals, several of whom found themselves on the frontlines of the battle to understand and control SARS. the boundaries of their respective disciplines and write for a wide audience. The authors of this volume focus on specific aspects of the SARS outbreak - epidemiological, political, economic, social, cultural, and moral. They analyze SARS as a form of social suffering and raise questions about the relevance of national sovereignty in the face of such global threats. Taken together, these essays demonstrate that SARS had the potential of becoming a major turning point in human history. This book thus poses a question of the greatest possible significance: Can we learn from SARS before the next pandemic?

One doctor's surprising answer to the epidemic of chronic disease and essential reading for everyone concerned with the health of the next generation ..[T]he further we move away from nature the sicker we become, and it is our children who pay the heaviest price for what modern civilization is doing to our environment and our bodies. This book will make the reader think. I warmly recommend it! Dr. Natasha Campbell-McBride, MD, author of Gut and Psychology Syndrome Over the past fifty years, rates of autoimmunity and chronic disease have exploded. While some attribute this rise to increased awareness and diagnosis, Thomas Cowan, MD, argues for a direct causal relationship to a corresponding increase in the number of vaccines children typically receive. Dr. Cowan looks at emerging evidence that certain childhood illnesses are actually protective of disease later in life; examines the role of fever, the gut and cellular fluid in immune health; argues that vaccination is an ineffective (and harmful) attempt to shortcut a complex immune response; and asserts that the medical establishment has engaged in an authoritarian argument that robs parents of informed consent. His ultimate question, from the point of view of a doctor who has decades of experience treating countless children is: What are we really doing to children when we vaccinate them? Dr. Cowan intelligently educates us on the complicated and beautiful workings of our immune system, clearly explains how and why its malfunction is harming us, and elucidates why our precious children are so vulnerable to these diseases. Lindy Woodard, MD, Pediatric Alternatives

"Batch Effects and Noise in Microarray Experiments: Sources and Solutions" looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information.

Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of genomics biomarkers is emphasized.

Key Features:

A thorough introduction to Batch Effects and Noise in Microrarray Experiments.A unique compilation of review and research articles on handling of batch effects and technical and biological noise in microarray data.An extensive overview of current standardization initiatives.All datasets and methods used in the chapters, as well as colour images, are available on www.the-batch-effect-book.org, so that the data can be reproduced.

An exciting compilation of state-of-the-art review chapters and latest research results, which will benefit all those involved in the planning, execution, and analysis of gene expression studies.

This 3rd edition of a classic textbook examines the context and background of public health informatics, explores the technology and science underlying the field, discusses challenges and emerging solutions, reviews many key public health information systems, and includes practical, case-based studies to guide the reader through the topic. The editors have expanded the text into new areas that have become important since publication of the previous two editions due to changing technologies and needs in the field, as well as updating and augmenting much of the core content. The book contains learning objectives, overviews, future directions, and review questions to assist readers to engage with this vast topic. The Editors and their team of well-known contributors have built upon the foundation established by the previous editions to provide the reader with a comprehensive and forward-looking review of public health informatics. The breadth of material in Public Health Informatics and Information Systems, 3rd edition makes it suitable for both undergraduate and graduate coursework in public health informatics, enabling instructors to select chapters that best fit their students' needs.

This book gathers the research efforts of the last quarter century in pediatric epidemiology under a single cover for the first time. It draws on the experience of an international group of pediatric epidemiologists, all of whom are world authorities in their fields. In a consistent format they discuss biological considerations, patterns of occurrence, risk factors, and the impact of interventions for each type of disorder. The disorders reviewed include not only the old morbidity of childhood such as infections, birth defects, asthma, and cerebral palsy, but also the new morbidity: emotional problems, intentional and non-intentional injuries, and suicide. These reviews are grouped in five parts: perinatal disorders, infectious disorders, mental and behavioral disorders, injuries and violence, and chronic disorders. This book is aimed at a wide audience: pediatricians, epidemiologists, nurses, physical and occupational therapists, health administrators, and those in maternal and child health care. One reason it succeeds is that the contributors have the personal expertise and background to enable them to cross the disciplinary lines between pediatrics and epidemiology.

Antioxidants Effects in Health: The Bright and the Dark Side examines the role that antioxidants play in a variety of health and disease situations. The book discusses antioxidants' historical evolution, their oxidative stress, and contains a detailed approach of 1) endogenous antioxidants, including endogenous sources, mechanisms of action, beneficial and detrimental effects on health, in vitro evidence, animal studies and clinical studies; 2) synthetic antioxidants, including sources, chemistry, bioavailability, legal status, mechanisms of action, beneficial and detrimental effects on health, in vitro evidence, animal studies and clinical studies; and 3) natural antioxidants, including sources, chemistry, bioavailability, mechanisms of action, possible prooxidant activity; beneficial and detrimental effects on health, in vitro evidence, animal studies and clinical studies. Throughout the boo, the relationship of antioxidants with different beneficial and detrimental effects are examined, and the current controversies and future perspectives are addressed and explored. Antioxidants Effects in Health: The Bright and the Dark Side evaluates the current scientific evidence on antioxidant topics, focusing on endogenous antioxidants, naturally occurring antioxidants and synthetic antioxidants. It will be a helpful resource for pharmaceutical scientists, health professionals, those studying natural chemistry, phytochemistry, pharmacognosy, natural product synthesis, and experts in formulation of herbal and natural pharmaceuticals.

This volume brings together world's leading experts to analyse the challenges facing survival and health in India and what it would take to address them. It aims to enhance the significance of health in the context of India's public policy, with discussions on demographic, economic, moral and legal arguments for prioritization of health in India. It also talks about the burden of disease and disability, factors responsible for the current status of health-ranging from the economic, social, spatial and the environmental to the more immediate health sector determinants and resources-and the state of health sector regulation in the country. This is the first comprehensive analytical reference on India's health sector. The policymakers and other stakeholders in India's health sector, scholars, students, media, as well as lay readers would find it very useful.

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and environmental epidemiologists, the book links recent developments in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the necessary tools to exploit advances in methodology when assessing the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of risks in practice. Designed for graduate students in both epidemiology and statistics, the text covers a wide range of topics, from an introduction to epidemiological principles and the foundations of spatio-temporal modeling to new research directions. It describes traditional and Bayesian approaches and presents the theory of spatial, temporal, and spatio-temporal modeling in the context of its application to environmental epidemiology. The text includes practical examples together with embedded R code, details of specific R packages, and the use of other software, such as WinBUGS/OpenBUGS and integrated nested Laplace approximations (INLA). A supplementary website provides additional code, data, examples, exercises, lab projects, and more. Representing a major new direction in environmental epidemiology, this book-in full color throughout-underscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Students will learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.

Whether you call them work-related upper limb disorders (WRULDs), cumulative trauma disorders (CTDS), or occupational overuse syndromes (OOSs), these conditions are a cause of pain, disability and suffering to workers worldwide. These designations often imply that their causes are related to work, but the supporting evidence can be unclear. Transparency is important, especially when it is necessary to form a connection with work factors to obtain treatment or compensation. This book addresses the dilemma. Written by a professional ergonomist with almost 40 years of experience in workplace ergonomics, this book combines a critical summary and assessment of the epidemiological literature with an exploration of the scientific and medical evidence for possible causal mechanisms to develop well-informed conclusions on causation of a number of common musculoskeletal disorders of the upper limb and intervertebral disc injury. Although much of the book focuses on physical factors, the role of psychosocial factors is increasingly being recognized and an additional chapter reviews a number of the current theories relating to this important issue. Features Focuses on a clear and authoritative account of the evidence for the role of work in the causation of commonly occurring ULDs and disc injury Provides an up-to-date compilation of the scientific evidence, devoid of views based on assumptions or prejudice Presents a clear explanation of the most likely causal mechanisms for common ULDs and disc injuries Includes a summary of theories concerning the role played by psychosocial factors Outlines the statistical evidence in a clear and understandable manner Bridges the gap between the evidence-base in the scientific and medical research literature and the practitioner

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

Master GIS Applications on Modelling and Mapping the Risks of Diseases Infections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries. Why are certain places more susceptible to vector-borne diseases? Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS reveals how using geographic information systems (GISs) can provide a greater understanding of how vector-borne diseases are spread and explores the use of geographical techniques in vector-borne disease monitoring, management, and control. This text provides readers with a better understanding of the vector-borne disease problem and its impact on public health. Introduces New Spatial Approaches Based on Location and Environment The book exposes readers to information on how to identify vector hotspots, determine when and where they can occur, and eliminate vector breeding sites. Utilizing simple illustrations based on real data, as well as the authors' more than 20 years of experience in the field, this text combines key spatial analysis techniques available in modern GIS with real-world applications. It offers step-by-step instruction on developing vector-borne disease risk models at different spatial and temporal scales and helps practitioners formulate disease causation hypotheses and identify areas at risk. In addition, it addresses medical geography, GIS, spatial analysis, and modelling, and covers other factors related to the spread of vector-borne diseases. This book: Gives an overview of common vector-borne diseases, GIS-based mapping and modelling, impacts of climate change on vector distributions, and availability and importance of accurate epidemiologically relevant spatial data Describes modelling and simulating the prevalence of vector-borne diseases around the world Summarizes some key spatial techniques and how they can be used to aid in the analysis of geographical and attributed data Defines the concept of establishing and characterizing spatial data systems, including their quality, errors, references, and issues of scale, and building such a system from often quite separate, disparate sources Shows how to develop weather-based predictive modelling, which can be used to predict the weekly trend of vector abundance Provides a GIS case study for modelling the future potential distribution of vector-borne disease based on different climatic change scenarios Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS combines spatial analysis techniques available in modern GIS, together with real-world applications to provide you with a better understanding of ways to map, model, prevent, and control vector-borne diseases.

Written by experts in the analytical chemistry of tobacco smoke, Tobacco Smoke Exposure Biomarkers summarizes the toxicology, metabolic pathway, and biomarkers of nicotine, TSNAs, PAHs, VOCs, AAs, Catechol and Hydroquinone, HCN, CO and NOx, and heavy metals, and the use of this biomarker in exposure assessment and/or cigarette smoke exposure environmental epidemiology. A convenient one-stop guide, the book brings together information on some exposure biomarkers and nicotine addiction in humans with regulatory implications and strategies. The authors also include discussions of how smoke exposure biomarkers may be used to shape regulation and health policy. Ethics guidelines, details of method development, and the validated relative bioanalytical method provided in the appendixes rounds out the coverage. The book gives you tools to further research biomarkers for tobacco carcinogens and to face emerging health challenges such as delivery of nicotine via electronic cigarettes.

This updated second edition of Molecular Typing in Bacterial Infections, presented in two volumes, covers both common and neglected bacterial pathogenic agents, highlighting the most effective methods for their identification and classification in the light of their specific epidemiology. New chapters have been included to add new species, as well as another view of how bacterial typing can be used. These books are valuable resources for the molecular typing of infectious disease agents encountered in both research and hospital clinical laboratory settings, as well as in culture collections and in the industry. Each of the 21 chapters provides an overview of specific molecular approaches to efficiently detect and type different bacterial pathogens. The chapters are grouped in five parts, covering respiratory and urogenital pathogens (Volume I), and gastrointestinal and healthcare-associated pathogens, as well as a new group of vector-borne and Biosafety level 3 pathogens including a description of typing methods used in the traditional microbiology laboratory in comparison to molecular methods of epidemiology (Volume II). Comprehensive and updated, Molecular Typing in Bacterial Infections provides state-of-the-art methods for accurate diagnosis and for the correct classification of different types which will prove to be critical in unravelling the transmission routes of human pathogens.

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. "

Written for non-mathematically-oriented readers, this text features:

• "
• A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data
• An emphasis on how the terminology, interpretation, and estimation" "of familiar general linear models relates to those of more complex models for longitudinal data
• Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers understanding of the overall model-building process
• Sample results sections for each example to provide useful templates for published reports
• Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and M"plus" at www.PilesOfVariance.com to help readers apply the models to their own data

The book opens with the building blocks of longitudinal analysis general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces "unconditional "longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. "Conditional "longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.

Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text."

Statistics are a vital skill for epidemiologists and form an essential part of clinical medicine and public health. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format. With clearly defined learning outcomes, the suggested chapter orders can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, measuring disease, bias, error, analysis and modelling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers.

Shortlisted for the British Sociological Association's Sociology of Health and Illness Book Prize in 2011By the 1970s, medicine appeared to have conquered infectious diseases. A century before, newly discovered germ theory had laid the foundations for advances in vaccines and antibiotics, but deaths and illness from infectious diseases had been declining in the developed world even before this 'golden age' of medicine. Infectious diseases were perceived as archaic, and future health threats seemed to come from so-called diseases of civilization, such as heart disease and cancer. The appearance of AIDS in the early 1980s radically reversed that trend, and since then over thirty new infectious diseases have been classified, including mad cow disease and antibiotic resistant strains of bacteria, such as MRSA. Furthermore, old threats, such as tuberculosis, have re-emerged as they have become immune to established treatments. This fascinating study, now in paperback with a new preface, charts the rise of new infectious diseases and examines the cultural context and anxieties that surround their emergence, revealing the underlying social and political concerns that determine our response to disease in the twenty-first century.

This is the first comprhensive volume on the methodologic issues in epidemiologic research on infectious diseases. It will be an invaluable resource both to students of epidemiologic research on infectious diseases. It will be and invaluable resource both to students of epidemiology and to established researchers. It covers foundational topics such as immunology and concepts of causation, transmission and dynamics; data resources and measurement; methods by transmission type; outbreak investigation and evaluation research; and special topics such as research on AIDS and collaboration in developing countries.