In this book, both basic and advanced concepts are discussed for considering mixtures from initial exposure characterization through evaluation of risk associated with combined exposures. This book will provide an introduction to key issues and multiple options for evaluating both the toxicity of mixtures as well as the risk associated with exposure to mixtures. Additionally, promising tools adapted from other disciplines will be discussed in the context of mixtures toxicology and risk assessment. Finally, the discussion will move beyond chemical mixtures to address incorporating non-chemical stressors into toxicity studies and cumulative risk assessments. Although exposure to multiple chemical and non-chemical stressors is the rule, not the exception, consideration of mixtures in toxicology and risk assessment continues to be a significant challenge. This book will be an essential resource for researchers and professionals in the fields of toxicology, epidemiology, exposure science, risk assessment, and statistics.

In May 1993, a cluster of cases of a lethal disease among healthy young people brought the attention of the world to the southwestern deserts. A previously unknown disease was killing up to 80% of the people it infected.
The reaction in the area and across the nation mixed fear, lack of information, and the struggles of doctors to save the victims of an unknown killer with hard science and the age old rhythmns of the desert. What came out was the story of a virus that had been killing since man arrived in the American continents, Hantavirus, with deadly relatives across the Americas and across the world. This book explains why and how the virus kills, and why it is still killing today. Why all of the science aimed at a virus identified back in 1993 has not brought a vaccine or a cure is part of the story, as is how that killer virus fits into the story of "new" diseases across the world.
The story of hantavirus disease, what has happened since that first outbreak, and what the real risks are is laid out by an experienced scientist and an award winning journalist living and working in the area of the 1993 outbreak.
Key Features
* Covers the full story of the recent hantavirus outbreak
* Includes interviews with survivors, and local reaction
* Presents the science in lay terms
* Places the event in the broader context of emerging diseases worldwide
* The only account which takes the reader beyond the initial outbreak in 1993-1994, bringing them up to late 1998
* Discusses hantavirus disease in the U.S., Argentina, and Canada

Recent advances in genetics over the last quarter of a century, especially in molecular techniques, have dramatically reduced the cost of determining genetic markers and hence opened up a field of research that is increasingly helping to detect, prevent and/or cure many diseases that afflict humans. In Statistical Human Genetics: Methods and Protocols expert researchers in the field describe statistical methods and computer programs in the detail necessary to make them more easily accessible to the beginner analyzing data. Written in the highly successful Methods in Molecular Biology (TM) series format, with examples of running the programs and interpreting the program outputs, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results from human genetic data collected in the laboratory. Thorough and as much as possible intuitive, Statistical Human Genetics: Methods and Protocols aids scientists in understanding the computer programs and analytical procedures they need to use.

In Covid-19 and the Transformation of American Society, the first book-length consideration of the Covid-19 pandemic's implications, noted sociologist Jose Martinez lays bare the immense social changes that we should expect from the nouvel coronavirus, which has upended American life since March 2020. A vital theme of his critique is how inequality already entrenched in American society may worsen due to large-scale economic disruption that resonates strongly in the socioeconomic circumstances of minorities and the poor. On the other hand, society may also experience constructive social changes resulting from a widespread reconsideration of consumerism driven by frank reassessments of our wants and needs. This book addresses how the coronavirus has contributed to long-lasting reconsiderations of social relationships, from dating to leisure to education, in both negative and positive ways, and how national and cultural politics will never be the same. Martinez's timely book opens a new field in foretelling an unanticipated future for American society and, indeed, the entire world. It concludes with a consideration of possible solutions to address social changes that we are unlikely to avoid.

Bias analysis quantifies the influence of systematic error on an epidemiology study's estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.

This book explores the complex roles of mobile, transient, and displaced populations in the worldwide spread of disease. While biomedical events cause disease, social forces such as poverty and marginalization magnify them by giving them opportunities to take hold. From Katrina to Darfur, and from influenza to AIDS, an expert panel of health and social scientists brings the social context of epidemics into clear focus.

The book provides a general background in matrix, determinant and vector calculus, followed by some very important aspects in mathematics such as Dirac Delta Function, Analyticity, Orthogonality, Singularity, etc., along with 'complex functions and series analysis' are considered very useful in mathematical physics. Important 'special functions' such as Hermite, Legendre, Laguerre, Chebyshev are also discussed in terms of their applications in quantum mechanics. Important 'integral transforms', such as Fourier, Laplace and Hilbert are also described with an inclination towards 'applications' for both undergraduate and postgraduate students in various branches of engineering as well as for readers in postgraduate studies in general and applied sciences. A chapter on Tensor Analysis is also included to briefly introduce the subject. This is a book where the technologist meets the mathematicians.

This book presents practical approaches for the analysis of data from gene expression microarrays. Each chapter describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. Methods cover all aspects of statistical analysis of microarrays, from annotation and filtering to clustering and classification. Chapters are written by the developers of the software. All software packages described are free to academic users. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion, and are designed to be accessible to microarray data analysts without formal quantitative training. Most chapters are directed at microarray data analysts with master-level training in computer science, biostatistics or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers. The team of editors is from the Johns Hopkins Schools of Medicine and Public Health and has been involved with developing methods and software for microarray data analysis since the inception of this technology. Giovanni Parmigiani is Associate Professor of Oncology, Pathology and Biostatistics. He is the author of the book on "Modeling in Medical decision Making," a fellow of the ASA, and a recipient of the Savage Awards for Bayesian statistics. Elizabeth S. Garrett is Assistant Professor of Oncology and Biostatistics, and recipient of the Abbey Award for statistical education. Rafael A Irizarry is Assistant Professor of Biostatistics, and recipient of the Noether Award for non-parametric statistics. Scott L. Zeger is Professor and chair of Biostatistics. He is co-author of the book "Longitudinal Data Analysis," a fellow of the ASA and recipient of the Spiegelman Award for public health statistics.

Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history. "

Wildlife and the zoonotic pathogens they reservoir are the source of most emerging infectious diseases of humans. AIDS, hantavirus pulmonary syndrome, SARS, Monkeypox and the human ehrlichioses are a few examples of the devastating effect achieved by cross-species transmission of viral and bacterial pathogens of wildlife. Many factors contribute to the appearance and spread of a pathogen, including; changes in host/pathogen evolution and interaction, human demographics, behavior and technology, environmental factors, and the availability of health care and a public health infrastructure capable of providing surveillance and interventions aimed at disease prevention and control. Additionally, historical factors and the coalescence of particular circumstances modify the conditions by which pathogens and species have an opportunity to intermix, evolve and spread. This volume provides an overview of zoonotic pathogen emergence with an emphasis on the role of wildlife. The first sections of the book explore the mechanisms by which evolution, biology, pathology, ecology, history, and current context have driven the emergence of different zoonotic agents, the next sections provide specific example of disease emergence linked to wildlife, and the final section offers an overview of current methods directed at the surveillance, prevention and control of zoonotic pathogens at the level of the wildlife host and possible mechanisms to improve these activities. This book will be useful to microbiologists, ecologists, zoologists, entomologists as well as physicians and epidemiologists.

Community-acquired pneumonia (CAP) is a disease associated with high morbidity and mortality, with at least one third of cases requiring hospitalization, exceeding the numbers admitted for myocardial infarction and stroke. Despite a broad armamentarium of antimicrobials available, it remains an important cause of death in industrialized countries. CAP is caused by a variety of pathogens with their order of importance dependent on the location and population studied. Despite the importance of CAP, reliable data and a recommended evidence-based therapy are lacking, and basic research must be improved.

The goal of this volume is to present state-of-the-art knowledge on epidemiology, clinical presentation, immunology, pathology, and diagnosis including the identification of "new pathogens." Therapeutic approaches, antibiotics resistance, disease management and vaccination strategies are also covered. The volume is of interest to researchers and clinicians in virology, epidemiology and biomedicine.

Effective healthcare delivery is a vital concern for citizens and communities across the globe. The numerous facets of this industry require constant re-evaluation and optimization of management techniques. The Handbook of Research on Healthcare Administration and Management is a pivotal reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare opportunities and solutions. Highlighting issues relating to decision making, process optimization, and technological applications, this book is ideally designed for policy makers, administrators, students, professionals, and researchers interested in achieving superior healthcare solutions.

At its core, epidemiology is concerned with changes in health and disease. The discipline requires counts and measures: of births, health disorders, and deaths, and in order to make sense of these counts it requires a population base defined by place and time. Epidemiology relies on closely defined concepts of cause - experimental or observational - of the physical or social environment, or in the laboratory. Epidemiologists are guided by these concepts, and have often contributed to their development. Because the disciplinary focus is on health and disease in populations, epidemiology has always been an integral driver of public health, the vehicle that societies have evolved to combat and contain the scourges of mass diseases.
In this book, the authors trace the evolution of epidemiological ideas from earliest times to the present. Beginning with the early concepts of magic and the humors of Hippocrates, it moves forward through the dawn of observational methods, the systematic counts of deaths initiated in 16th-century London by John Graunt and William Petty, the late 18th-century Enlightenment and the French Revolution, which established the philosophical argument for health as a human right, the national public health system begun in 19th-century Britain, up to the development of eco-epidemiology, which attempts to re-integrate the fragmented fields as they currently exist. By examining the evolution of epidemiology as it follows the evolution of human societies, this book provides insight into our shared intellectual history and shows a way forward for future study.

The international advanced research workshop funded by NATO and entitled "impact of pollutions on animal and animal products" was organized at Almaty (Kazakhstan) on 27-30 September 2007. Thirty-one scientists from 12 countries (Kazakhstan, Kirgizstan, Azerbaijan, Ukraine, Russia, France, Great Britain, Italy, Belgium, Romania and Morocco) presented conferences at this meeting to share their experience and results. The programme included three main aspects: (i) generality on the pollution situation in Central Asia and former Soviet Union republics, (ii) the pollution area and pollution origin in Central Asia and Western countries in relation with animal health, and (iii) the relationships between soil contamination, plant contamination and animal products status. The present workshop contributed highly to the exchange between scientists giving the opportunity for researchers from Central Asia to access to new scientific approaches and methodologies, and for European scientists to assess the extent of the environmental problems in this part of the world. No doubt that these exchanges were the main success of the workshop marked by very stimulating discussions. Such meeting was also the opportunity to put on the first stone of a scientific network focused on the subject of the workshop. The importance of pollution in Central Asia in general and in Kazakhstan in p- ticular is a well-known feature and several references are available on the source and localization of pollution problems in those countries. The references are also abundant on the impact of the environmental failures on human health.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the problems they encounter. The BASS book series is initially divided into three volumes addressing: 1) Design of Clinical Trials; 2) Biostatistical Analysis of Clinical Trials; and 3) Pharmaceutical Applications. This book is the second of the 3-volume book series. The topics covered include: Statistical Approaches to the Meta-analysis of Randomized Clinical Trials, Collaborative Targeted Maximum Likelihood Estimation to Assess Causal Effects in Observational Studies, Generalized Tests in Clinical Trials, Discrete Time-to-event and Score-based Methods with Application to Composite Endpoint for Assessing Evidence of Disease Activity-Free , Imputing Missing Data Using a Surrogate Biomarker: Analyzing the Incidence of Endometrial Hyperplasia, Selected Statistical Issues in Patient-reported Outcomes, Network Meta-analysis, Detecting Safety Signals Among Adverse Events in Clinical Trials, Applied Meta-analysis Using R, Treatment of Missing Data in Comparative Effectiveness Research, Causal Estimands: A Common Language for Missing Data, Bayesian Subgroup Analysis with Examples, Statistical Methods in Diagnostic Devices, A Question-Based Approach to the Analysis of Safety Data, Analysis of Two-stage Adaptive Seamless Trial Design, and Multiplicity Problems in Clinical Trials - A Regulatory Perspective.

Covid-19 has given renewed, urgent attention to 'the pandemic' as a devastating, recurrent global phenomenon. Today the term is freely and widely used-but in reality, it has a long and contested history, centred on South Asia. Pandemic India is an innovative enquiry into the emergence of the idea and changing meaning of pandemics, exploring the pivotal role played by-or assigned to-India over the past 200 years. Using the perspectives of the social historian and the historian of medicine, and a wide range of sources, it explains how and why past pandemics were so closely identified with South Asia; the factors behind outbreaks' exceptional destructiveness in India; responses from society and the state, both during and since the colonial era; and how such collective catastrophes have changed lives and been remembered. Giving a 'long history' to India's current pandemic, the book offers comparisons with earlier epidemics of cholera, plague and influenza. David Arnold assesses the distinctive characteristics and legacies of each episode, tracking the evolution of public health strategies and containment measures. This is a historian's reflection on time as seen through the pandemic prism, and on the ways the past is used-or misused-to serve the present.

This book treats Modelling of CFD problems, Numerical tools for PDE, and Scientific Computing and Systems of ODE for Epidemiology, topics that are closely related to the scientific activities and interests of Prof. William Fitzgibbon, Prof. Yuri Kuznetsov, and Prof. O. Pironneau, whose outstanding achievements are recognised in this volume. It contains 20 contributions from leading scientists in applied mathematics dealing with partial differential equations and their applications to engineering, ab-initio chemistry and life sciences. It includes the mathematical and numerical contributions to PDE for applications presented at the ECCOMAS thematic conference "Contributions to PDE for Applications" held at Laboratoire Jacques Louis Lions in Paris, France, August 31- September 1, 2015, and at the Department of Mathematics, University of Houston, Texas, USA, February 26-27, 2016. This event brought together specialists from universities and research institutions who are developing or applying numerical PDE or ODE methods with an emphasis on industrial and societal applications. This volume is of interest to researchers and practitioners as well as advanced students or engineers in applied and computational mathematics. All contributions are written at an advanced scientific level with no effort made by the editors to make this volume self-contained. It is assumed that the reader is a specialist already who knows the basis of this field of research and has the capability of understanding and appreciating the latest developments in this field.

In the late 1960s, the World Health Organization initiated a series of international studies of the incidence, characteristics, course, and consequences of schizophrenia. Those studies - the largest ever in the history of psychiatry - provided important data about the disorder in groups of patients living in different countries and cultures, and first focused attention on the differences in short-term prognosis for schizophrenia between the third world and industrialized countries. In the 1990s, the International Study of Schizophrenia (ISoS) set out to relocate those subjects and to determine their clinical and social status some 15 to 25 years later.
Recovery from Schizophrenia is a comprehensive account of what ISoS found, reporting follow-up results for over 1000 subjects examined in the earlier WHO studies (and in several local studies as well). The body of this volume consists of detailed descriptions of the long-term course and outcome of schizophrenia, together with portraits of the field research sites in 14 countries. Introductory and synoptic chapters lay out the origin and design of the WHO studies culminating in ISoS, and synthesize the study's main findings. ISoS shows that, with appropriate treatment, schizophrenia has a favorable outcome for a substantial portion of those afflicted. The surprising finding of the short-term follow-up studies - that outcome was better in the developing than in the developed countries - is confirmed here for long-term course. Yet while prognosis continues to favor subjects in developing countries, the varied outcomes for those in developed nations still offers ample reason for hope.
This book is the first of its kind. The massivemultinational investigations upon which it is based are unique in psychiatry and cross-cultural epidemiology. Recovery from Schizophrenia will be a valuable resource for researchers, epidemiologists, policymakers, and mental health professionals worldwide, providing evidence that supports investment in the care of persons with schizophrenia.

This innovative volume introduces Trajectory Analysis, a new systems-based approach to measuring nonlinear dynamics in continuous change, to public health and epidemiology. It synthesizes influential strands of statistical and probability science (including chaos theory and catastrophe theory) to complement existing methods and models used in the health fields. The computational framework featured here pinpoints complex cause-and-effect processes in behavioral change as individuals and populations adjust to health interventions, with examples from neuroscience and cardiology. But this is no mere academic exercise, as the author illustrates how these methods can be harnessed toward finding real-world answers to longstanding public health problems, starting with treatment recidivism. Included in the coverage: * The universality of physical principles in the analysis of health and disease * The problem of recidivism in healthcare intervention studies * Stability and reversibility/irreversibility of health conditions * Chaos theory and sensitive dependence on initial conditions * Applications in health monitoring and geographic systems * Simulations, applications, and the challenge for public health A stimulating new take on statistics with powerful implications for future study, practice, and policy, Trajectory Analysis in Health Care should interest public health epidemiologists, researchers, clinicians, and policymakers.

As globalization causes profound changes in business, industry, and trade,it can also have significant effects on populations, environments, and individuals.These effects may be harmful, resulting in injury or illness, prompting the critical question: How best to correct wrongs caused to individuals, communities, and/or the environment of one country by the actions of individuals or corporations of another? Possible answers lie in an emerging discipline. Forensic Epidemiology in the Global Context opens meaningful windows onto the processes of forensic epidemiology, the roles of the epidemiologist in civil disputes, and the potential contribution of the field to legal and justice efforts worldwide. Case examples from the U.K., Nigeria, Ecuador, Romania, and Australia illustrate commonly used methodologies and the challenges involved in their use in U.S. and international courts of law. A chapter on expert testimony takes readers through qualification and admissibility issues, report requirements, and working with attorneys. Included in the coverage: Forensic epidemiology in the international legal arena. The epidemiologist as an expert in litigation. Epidemiological evidence in tort law: dispatches from the U.K. Liability for occupational exposure: the role of epidemiology. Forensic epidemiology and environmental justice. Forensic epidemiology, pathology, ethnics, and human rights. By emphasizing both the scientific and legal components of the equation, Forensic Epidemiology in the Global Context gives researchers and graduate students in epidemiology a unique and timely guide to the present and future of an increasingly salient field.

This book presents the state of the art of biostatistical methods and their applications in clinical oncology. Many methodologies established today in biostatistics have been brought about through its applications to the design and analysis of oncology clinical studies. This field of oncology, now in the midst of evolution owing to rapid advances in biotechnologies and cancer genomics, is becoming one of the most promising disease fields in the shift toward personalized medicine. Modern developments of diagnosis and therapeutics of cancer have also been continuously fueled by recent progress in establishing the infrastructure for conducting more complex, large-scale clinical trials and observational studies. The field of cancer clinical studies therefore will continue to provide many new statistical challenges that warrant further progress in the methodology and practice of biostatistics. This book provides a systematic coverage of various stages of cancer clinical studies. Topics from modern cancer clinical trials include phase I clinical trials for combination therapies, exploratory phase II trials with multiple endpoints/treatments, and confirmative biomarker-based phase III trials with interim monitoring and adaptation. It also covers important areas of cancer screening, prognostic analysis, and the analysis of large-scale molecular data in the era of big data.

Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.

This book covers a range of statistical methods useful in the analysis of medical data, from the simple to the sophisticated, and shows how they may be applied using the latest versions of S-PLUS and S-PLUS 6. In each chapter several sets of medical data are explored and analysed using a mixture of graphical and model fitting approaches. At the end of each chapter the S-PLUS script files are listed, enabling readers to reproduce all the analyses and graphics in the chapter. These script files can be downloaded from a web site. The aim of the book is to show how to use S-PLUS as a powerful environment for undertaking a variety of statistical analyses from simple inference to complex model fitting, and for providing informative graphics. All such methods are of increasing importance in handling data from a variety of medical investigations including epidemiological studies and clinical trials. The mix of real data examples and background theory make this book useful for students and researchers alike. For the former, exercises are provided at the end of each chapter to increase their fluency in using the command line language of the S-PLUS software. Professor Brian Everitt is Head of the Department of Biostatistics and Computing at the Institute of Psychiatry in London and Sophia Rabe-Hesketh is a senior lecturer in the same department. Professor Everitt is the author of over 30 books on statistics including two previously co-authored with Dr. Rabe-Hesketh.