This book traces the history of the Chinese concept of "Warm diseases" (wenbing) from antiquity to the SARS epidemic. Following wenbing from its birth to maturity and even life in modern times Marta Hanson approaches the history of Chinese medicine from a new angle. She explores the possibility of replacing older narratives that stress progress and linear development with accounts that pay attention to geographic, intellectual, and cultural diversity. By doing so her book integrates the history of Chinese medicine into broader historical studies in a way that has not so far been attempted, and addresses the concerns of a readership much wider than that of Chinese medicine specialists. The persistence of wenbing and other Chinese disease concepts in the present can be interpreted as resistance to the narrowing of meaning in modern biomedical nosology. Attention to conceptions of disease and space reveal a previously unexamined discourse the author calls the Chinese geographic imagination. Tracing the changing meanings of "Warm diseases" over two thousand years allows for the exploration of pre-modern understandings of the nature of epidemics, their intersection with this geographic imagination, and how conceptions of geography shaped the sociology of medical practice and knowledge in late imperial China. Speaking of Epidemics in Chinese Medicine opens a new window on interpretive themes in Chinese cultural history as well as on contemporary studies of the history of science and medicine beyond East Asia.

Sir David Cox is among the most important statisticians of the past half-century. He has made pioneering and highly influential contributions to a uniquely wide range of topics in statistics and applied probability. His teaching has inspired generations of students, and many well-known researchers have begun as his graduate students or have worked with him at early stages of their careers. Legions of others have been stimulated and enlightened by the clear, concise, and direct exposition exemplified by his many books, papers, and lectures. This book presents a collection of chapters by major statistical researchers who attended a conference held at the University of Neuchatel in July 2004 to celebrate David Cox's 80th birthday. Each chapter is carefully crafted and collectively present current developments across a wide range of research areas from epidemiology, environmental science, finance, computing and medicine. Edited by Anthony Davison, Ecole Polytechnique Federale de Lausanne, Switzerland; Yadolah Dodge, University of Neuchatel, Switzerland; and N. Wermuth, Goteborg University, Sweden, with chapters by Ole E. Barndorff-Nielsen, Sarah C. Darby, Christina Davies, Peter J. Diggle, David Firth, Peter Hall, Valerie S. Isham, Kung-Yee Liang, Peter McCullagh, Paul McGale, Amilcare Porporato, Nancy Reid, Brian D. Ripley, Ignacio Rodriguez-Iturbe, Andrea Rotnitzky, Neil Shephard, Scott L. Zeger, and including a brief biography of David Cox, this book is suitable for students of statistics, epidemiology, environmental science, finance, computing and medicine, and academic and practising statisticians.

When Communities Assess their AIDS Epidemics is a detailed ethnographic description of the AIDS epidemic in ten U.S. cities and the U.S. Virgin Islands. Employing a rapid ethnographic assessment methodology, cities from the Atlantic to the Pacific have implemented Project RARE (Rapid Assessment, Response, and Evaluation) efforts. These RARE projects examine the moving edge of the AIDS epidemic through descriptions of high-risk sites and identifications of segments of the populations at greatest risk. Utilizing a series of focus groups and street interviews, local field research teams gain an insider's perspective on HIV risk within social contexts. Dr. Benjamin P. Bowser, Dr. Ernest Quimby, and Dr. Merrill Singer have compiled these critical studies that analyze current conditions, challenges, and recommendations encountered by RARE. When Communities Assess their AIDS Epidemics is a powerful and engaging text that will appeal to those interested in public health and anthropology.

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis .

Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes.

The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis.

An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

This book aims to fill a gap in the current construction health and safety research and discover new knowledge about work stress induced chronic diseases among construction industry professionals. In achieving these aims, the book investigates: the nature and extent of psychosocial stressors experienced by construction professionals, stress management tactics applied and the impact on mental health the prevalence and occurrence patterns of serious chronic conditions such as insomnia, obesity, musculoskeletal disorders and vision impairment aetiological pathways from job stressors through chronic diseases to job performance. While there are many studies, policies and regulations aiming to look after the health of construction workers, little attention is paid to construction professionals. By applying advanced analytical methods to data collected in a national survey of construction professionals in Australia, the author presents new scientific evidence which can be used to help establish equitable workers' compensation treatments and outcomes for construction professionals in line with other professions. Moreover, the research and analysis are underpinned by theories and literature from public health and epidemiological disciplines in addition to literature from construction, and work health, safety and wellbeing domains. It is essential reading for any health policy makers and researchers in the fields of health and safety and construction management.

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis .

Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes.

The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis.

An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many areas of the health sciences, including medicine, nursing, pharmacy, dentistry, and physical therapy, but are understandable to students in any field. The book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students who plan to enter a health sciences program. The book begins by explaining the research context for statistics in the health sciences, which provides students with a framework for understanding why they need statistics as well as a foundation for the remainder of the text. It emphasizes kinds of variables and their relationships throughout, giving a substantive context for descriptive statistics, graphs, probability, inferential statistics, and interval estimation. The final chapter organizes the statistical procedures in a decision tree and leads students through a process of assessing research scenarios. Web ResourceThe authors have partnered with William Howard Beasley, who created the illustrations in the book, to offer all of the data sets, graphs, and graphing code in an online data repository via GitHub. A dedicated website gives information about the data sets and the authors' electronic flashcards for iOS and Android devices. These flashcards help students learn new terms and concepts.

This book explores a range of biohealth and biosecurity threats, places them in context, and offers responses and solutions from global and local, networked and pyramidal, as well as specialized and interdisciplinary perspectives. Specifically covering bioterrorism, emerging infectious diseases, pandemic disease preparedness and remediation, agroterroism, food safety, and environmental issues, the contributors demonstrate that to counter terrorism of any kind, a global, networked, and multidisciplinary approach is essential. To be successful in biosecurity, this book argues it is necessary to extend partnerships, cooperation, and co-ordination between public health, clinical medicine, private business, law enforcement and other agencies locally, nationally and internationally. Internationally, a clear understanding is needed of what has happened in past epidemics and what was accomplished in past bioprograms (in Britain, South Africa, Russia, for example). This book also assesses how, with the right technology and motivation, both a state and a non-state actor could initiate an extremely credible biothreat to security at both local and national levels. This book will be of much interest to students, researchers and practitioners of security studies, public health, public policy and IR in general. Peter Katona is Associate Professor of Clinical Medicine at the David Geffen School of Medicine at UCLA in Infectious Diseases. He is co-founder of Biological Threat Mitigation, a bioterror consulting firm. John P. Sullivan is a lieutenant with the Los Angeles Sheriff's Department. He is also a researcher focusing on terrorism, conflict disaster, intelligence studies, and urban operations. He is co-founder of the Los Angeles Terrorism Early Warning (TEW) Group. Michael D. Intriligator is Professor of Economics at the University of California, Los Angeles (UCLA). He is also Professor of Political Science, Professor of Public Policy in the School of Public Policy and Social Research, and Co-Director of the Jacob Marschak Interdisciplinary Colloquium on Mathematics in the Behavioral Sciences, all at UCLA.

Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.

Judith Lorber and Lisa Jean Moore consider the interface between the social institutions of gender and Western medicine in this brief, lively textbook. They offer a distinct feminist viewpoint to analyze issues of power and politics concerning physical illness. SIGNS labeled the first edition 'a rich and imaginative work.' In the extensively revised second edition of this successful text, the authors add chapters on disability and genital surgeries. They also update and expand their discussions of social epidemiology, AIDS, the health professions, PMS, menopause, and feminist health care. For a creative, feminist-oriented alternative to traditional texts on medical sociology, medical anthropology, and the history of medicine, this is an ideal choice.

A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods. A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include: * Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods * Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application * Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice * Integration of practical data analysis exercises to develop skills and confidence * Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

Ebola: Clinical Patterns, Public Health Concerns is a concise description and discussion of the Ebola virus and disease. The intended audience is medical practitioners, including those working in endemic areas as well as health-facility planners and public health practitioners. The book fills an important gap between large texts covering not only Ebola but other hemorrhagic fever viruses and brief pamphlet-style publications on the public health aspects of the infection. In light of the recent large outbreak in West Africa, this book is a part of the developing foundation needed to deal with emerging diseases.

The worldwide epidemiology of rickettsial diseases, including veterinary rickettsiology, is the focus of this volume, which is the second volume resulting from the 4th International Conference on Rickettsiae and Rickettsial Diseases.

The heterogeneity of clinical presentations of rickettsial diseases is greater than had previously been appreciated, and atypical and previously unseen presentations are discussed here along with chapters on known vectors and vectors previously not known to transmit a given rickettsial species.

This volume and volume 1063, "New Insights into Rickettsioses," complete the picture presented at the conference of the wide range of work that is being carried out in rickettsiology worldwide.

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The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models.

Recent disease events such as SARS, H1N1 and avian influenza, and haemorrhagic fevers have focussed policy and public concern as never before on epidemics and so-called 'emerging infectious diseases'. Understanding and responding to these often unpredictable events have become major challenges for local, national and international bodies. All too often, responses can become restricted by implicit assumptions about who or what is to blame that may not capture the dynamics and uncertainties at play in the multi-scale interactions of people, animals and microbes. As a result, policies intended to forestall epidemics may fail, and may even further threaten health, livelihoods and human rights. The book takes a unique approach by focusing on how different policy-makers, scientists, and local populations construct alternative narratives-accounts of the causes and appropriate responses to outbreaks- about epidemics at the global, national and local level. The contrast between emergency-oriented, top-down responses to what are perceived as potentially global outbreaks and longer-term approaches to diseases, such as AIDS, which may now be considered endemic, is highlighted. Case studies-on avian influenza, SARS, obesity, H1N1 influenza, HIV/AIDS, tuberculosis, and haemorrhagic fevers-cover a broad historical, geographical and biological range. As this book explores, it is often the most vulnerable members of a population-the poor, the social excluded and the already ill-who are likely to suffer most from epidemic diseases. At the same time, they may be less likely to benefit from responses that may be designed from a global perspective that neglects social, ecological and political conditions on the ground. This book aims to bring the focus back to these marginal populations to reveal the often unintended consequences of current policy responses to epidemics. Important implications emerge - for how epidemics are thought about and represented; for how surveillance and response is designed; and for whose knowledge and perspectives should be included. Published in association with the Economic and Social Research Council (ESRC)

This book analyzes the development of female prostitution in the Pacific port of Puntarenas, Costa Rica during the advanced stage of the coffee exporting economy (1880-1930), at the height of the consolidation of the liberal state. Hayes argues that prostitution in the port differed from that of the coffee producing highlands due to differential economic, social, and political development. In the periphery of Puntarenas, the development of prostitution reflected a less stigmatized view of sexual commerce than that of the highlands, where prostitution, although legal, threatened the tenets of liberal nationalism based on racial homogeneity and family values. Women of the highlands were encouraged to reproduce the nation's "more European" stock of workers and to ensure the legal transference of property through legal church marriages - both part of a design to stabilize the coffee exporting project. By contrast, prostitutes and other working women of Puntarenas, many immigrants from the "less European" populations of neighboring regions and most in concubinage, were freer to do what the law prescribed - register as prostitutes in legitimate trade. Such regional disparities reveal weaknesses in traditional explanations of Costa Rican exceptionalism, which have rested on the premise of cultural homogeneity and have reflected the realities of only one region of the country. The book advances an alternative explanation for the development of the nation's more democratic institutions, situating Costa Rican exceptionalism in the nation's free labor system, of which the labor prostitute in Puntarenas provides an example.

Over the past two decades, rates of adult and childhood obesity in the developed world have risen sharply. By the year 2000, 65% of the United States population were overweight, 30% of these obese. Whilst medical treatment has tended to focus on individual habits of diet and exercise, this approach does little to account for globally increasing levels of obesity, and the external, environmental factors that may be responsible. This in-depth study assembles the evidence for a geographical explanation of current obesity trends, and is the first work to examine the ways in which environment and living conditions promote an imbalance of energy intake over energy expenditure. The book calls upon the expertise of geographers, nutritionists, epidemiologists, sociologists and public health researchers, resulting in a broad, multidisciplinary analysis of this important health issue. Cover graphic designed by Georgia Witten-Sage.

Over the past decade, substantial resources have been spent on tackling avian influenza and building a global capacity for a pandemic response. The catastrophic costs of the 1918 influenza pandemic are well documented, and the swine flu pandemic of 2009-10 has raised the alarm yet again. Across the world, surveillance systems have been upgraded, stockpiles of antiviral drugs and influenza vaccines have been created, veterinary and public health systems have been improved and poultry production and marketing has been dramatically restructured. What are the lessons from this experience? And what does this suggest for the future? This book explores how virus genetics, ecology and epidemiology intersect with economic, political and policy processes in a variety of places - from Bangkok to Washington, to Jakarta, Cairo, Rome and London. It focuses on the interaction of the international and national responses - and in particular the experiences of Cambodia, Vietnam, Indonesia and Thailand. It asks how effective is the disease surveillance and response system - can it respond to a new pandemic threat? The comparative analysis reveals the challenges and limitations of a technocratic, centralised response, and the need to take seriously local contexts. Drawing from these experiences, the book concludes with a discussion of future prospects and challenges, examining in particular what a 'One World, One Health' approach - where approaches to animal, human and ecosystem health are integrated - would look like in practice. Published in association with the Economic and Social Research Council (ESRC).

The premise of Quality by Design (QbD) is that the quality of the pharmaceutical product should be based upon a thorough understanding of both the product and the manufacturing process. This state-of-the-art book provides a single source of information on emerging statistical approaches to QbD and risk-based pharmaceutical development. A comprehensive resource, it combines in-depth explanations of advanced statistical methods with real-life case studies that illustrate practical applications of these methods in QbD implementation.

The SARS-CoV-2 virus, and the associated COVID-19 pandemic, is perhaps the greatest threat to life, and lifestyles, the world has known in more than a century. The scholarship included here provides critical insights into the institutional responses, communal consequences, cultural adaptations, and social politics that lie at the heart of this pandemic. This volume maps out the ways in which the pandemic has impacted (most often disproportionately) societies, the successes and failures of means used to combat the virus, and the considerations and future possibilities - both positive and negative - that lie ahead. While the pandemic has brought humanity together in some noteworthy ways, it has also laid bare many of the systemic inequalities that lie at the foundation of our global society. This volume is a significant step toward better understanding these impacts. The work presented here represents a remarkable diversity and quality of impassioned scholarship and is a timely and critical advance in knowledge related to the pandemic. This volume and its companion, COVID-19: Volume I: Global Pandemic, Societal Responses, Ideological Solutions, are the result of the collaboration of more than 50 of the leading social scientists from across five continents. The breadth and depth of the scholarship is matched only by the intellectual and global scope of the contributors themselves. The insights presented here have much to offer not just to an understanding of the ongoing world of COVID-19, but also to helping us (re-) build, and better shape, the world beyond.

In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands - Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years' combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered. Features: Discusses the very latest developments on multivariate and multidimensional mapping. Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches. Balances epidemiological and statistical points-of-view. Requires no previous knowledge of disease mapping. Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets. Supplies R code for the examples in the book so that they can be reproduced by the reader. About the Authors: Miguel A. Martinez Beneito has spent his whole career working as a statistician for public health services, first at the epidemiology unit of the Valencia (Spain) regional health administration and later as a researcher at the public health division of FISABIO, a regional bio-sanitary research center. He has been also the Bayesian Hierarchical Models professor for several seasons at the University of Valencia Biostatics Master. Paloma Botella Rocamora has spent most of her professional career in academia although she now works as a statistician for the epidemiology unit of the Valencia regional health administration. Most of her research has been devoted to developing and applying disease mapping models to real data, although her work as a statistician in an epidemiology unit makes her develop and apply statistical methods to health data, in general.

This book explores a range of biohealth and biosecurity threats, places them in context, and offers responses and solutions from global and local, networked and pyramidal, as well as specialized and interdisciplinary perspectives.

Specifically covering bioterrorism, emerging infectious diseases, pandemic disease preparedness and remediation, agroterroism, food safety, and environmental issues, the contributors demonstrate that to counter terrorism of any kind, a global, networked, and multidisciplinary approach is essential. To be successful in biosecurity, this book argues it is necessary to extend partnerships, cooperation, and co-ordination between public health, clinical medicine, private business, law enforcement and other agencies locally, nationally and internationally. Internationally, a clear understanding is needed of what has happened in past epidemics and what was accomplished in past bioprograms (in Britain, South Africa, Russia, for example). This book also assesses how, with the right technology and motivation, both a state and a non-state actor could initiate an extremely credible biothreat to security at both local and national levels.

This book will be of much interest to students, researchers and practitioners of security studies, public health, public policy and IR in general.

Peter Katona is Associate Professor of Clinical Medicine at the David Geffen School of Medicine at UCLA in Infectious Diseases. He is co-founder of Biological Threat Mitigation, a bioterror consulting firm.

John P. Sullivan is a lieutenant with the Los Angeles Sheriff's Department. He is also a researcher focusing on terrorism, conflict disaster, intelligence studies, and urban operations. He is co-founder of the Los Angeles Terrorism Early Warning (TEW) Group.

Michael D. Intriligator is Professor of Economics at the University of California, Los Angeles (UCLA). He is also Professor of Political Science, Professor of Public Policy in the School of Public Policy and Social Research, and Co-Director of the Jacob Marschak Interdisciplinary Colloquium on Mathematics in the Behavioral Sciences, all at UCLA.

This book provides an engaging, jargon-free introduction to the threat of global pandemics, offering an overview of the many origins and triggers of pandemic events. It covers the impacts generated by novel infectious disease outbreaks across various dimensions - from social and ethical to medical and political, from media to economic and legal implications. The author discusses the preparedness strategies developed globally, the lessons learned from various outbreaks and the mitigation measures deployed - from quarantine and social distancing to data sharing and surveillance systems - including their unintended impacts. While the risk of global pandemics is certainly intensely debated by the scientific community, and increasingly by policy makers at various levels, the threat is hardly discussed in the public domain. It only permeates the media during crisis events, such as during the SARS outbreak in 2003, the West African Ebola outbreak in 2014-15, and most notably the ongoing COVID-19 global pandemic crisis. This book is thus highly timely and topical. It has a global scope, whilst at times zooming in on the implications of pandemic risk and mitigation for the Global North or the Global South. Given the interdisciplinarity of the topic, this book will be of great interest to a wider non-academic audience, as well as students from a range of subjects including politics, sociology, geography, anthropology, and international development, along with entry-level medical students keen to widen their appreciation of the social dimensions of the medical work they set out to conduct.

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text. Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women's Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice. Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine. Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.