Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.

Ebola's Curse: 2013-2016 Outbreak in West Africa is about hemorrhagic fever viruses, especially Ebola, its initial origin in central Africa 1976, its unprecedented appearance in West Africa in 2013. The book records in sequence and detective style how the initial outbreak of Ebola from the index case in rural Guinea traveled to Sierra Leone, the work and fate of those working in the Kenema Government Hospital (KGH) isolation ward in Sierra Leone. The book provides vignettes of the three main players involved with Ebola at KGH, Sheik Khan, Pardis Sabeti, and Robert Garry. Khan was the head of the unit, declared a national hero by his Sierra Leone government. He died fighting Ebola and was/is recognized in the USA by American societies by awards created for his historic work and death. Pardis Sabeti, a geneticist from Harvard and Broad MIT Institute, who was honored as a "Scientist of the Year" by Time Magazine and the Smithsonian Institute. Robert Garry, head of the operation to fight hemorrhagic fevers and Ebola, shuttled between Tulane University, KGH, and The White House to make aware through the press and others the dilemma and tragedy that was unfolding, and the need to obtain additional medical and health care support and supplies. Sabeti and Garry currently work with Oldstone on Ebola at KGH and thus personal communication and knowledge was/is available to the author for the book.

Since early-on in the epidemic, there has been much interest in the role that bisexual behaviour among men may play in HIV transmission. This text reviews from an international perspective what has been learned about male bisexuality in countries as diverse as Peru and Britain. Its authors examine the forms that bisexuality takes in different cultures, what it means to the men concerned, and whether or not such behaviour poses special risks. The implications of such enquiry for HIV prevention efforts are also examined.

As rapid technological developments occur in electronics, photonics, mechanics, chemistry, and biology, the demand for portable, lightweight integrated microsystems is relentless. These devices are getting exponentially smaller, increasingly used in everything from video games, hearing aids, and pacemakers to more intricate biomedical engineering and military applications. Edited by Kris Iniewski, a revolutionary in the field of advanced semiconductor materials, Integrated Microsystems: Electronics, Photonics, and Biotechnology focuses on techniques for optimized design and fabrication of these intelligent miniaturized devices and systems. Composed of contributions from experts in academia and industry around the world, this reference covers processes compatible with CMOS integrated circuits, which combine computation, communications, sensing, and actuation capabilities. Light on math and physics, with a greater emphasis on microsystem design and configuration and electrical engineering, this book is organized in three sections-Microelectronics and Biosystems, Photonics and Imaging, and Biotechnology and MEMs. It addresses key topics, including physical and chemical sensing, imaging, smart actuation, and data fusion and management. Using tables, figures, and equations to help illustrate concepts, contributors examine and explain the potential of emerging applications for areas including biology, nanotechnology, micro-electromechanical systems (MEMS), microfluidics, and photonics.

Making epidemics in colonial Bengal as its entry point and drawing heavily on social, cultural and linguistic anthropology to understand the functions of health experiences, distribution of illness, prevention of sickness, social relations of therapeutic intervention and employment of pluralistic medical systems, the book interrogates the social construction of medical knowledge, politics of science, and the changing paradigm of relationship between health of the individual and the prerogatives of larger colonial economic formations. Smallpox, plague, cholera and malaria which visited colonial Bengal with epidemic vengeance, caught the people unaware, killed them in thousands, and changed the society and its demographic structures. The book shows how sometimes through mutual adaptation but more often by cultural contestation, people pulled on with their microbial fellow travellers, and how illness became metaphor for the social dangers of improper code of conduct, to be corrected only through personal expropriation of the sin committed, or by community worship of the deity supposedly responsible for it. As a result, Western medical science was often relegated to the background, and elaborate rites and rituals, supposedly having curative values, came to the forefront and were observed with much community fanfare. Epidemics were also interpreted as outcome of politically incorrect moves made by the ruling power. To right the wrongs, people very often resorted to social protest. The protest by the literati went sometimes muted when its members seem to be beneficiaries of the colonial government, but it turned out to be all the more violent when the people, who had no private axe to grind, took up the cudgel to fight it out.

This book, commissioned by the World Health Organization (WHO) and written by international experts, provides consensus views on the most important issues related to allergic hypersensitivities. The text details predictive testing, diagnosis, epidemiological monitoring of intervention measures, sources of sensitizing agents, and mechanisms of action.
Contributors extensively cover allergic hypersensitivity reactions of the skin and the respiratory system. They present the current knowledge on hypersensitivity reactions of the gastrointestinal tract and kidneys. Major gaps in existing information about allergic hypersensitivities are highlighted and recommendations for future research are given. Practical methods are provided for establishing preventive programs.
Allergic Hypersensitivities Induced by Chemicals offers valuable information to both scientists and public health officials. This is a useful reference for health professionals in their work with allergies, allergens, and allergy sufferers.

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or associated analytics and decision making. This book presents in depth the Clinical Scenario Evaluation (CSE) framework, and discusses optimization strategies, including the quantitative assessment of tradeoffs. A variety of common development challenges are evaluated as case studies, and used to show how this framework both simplifies and optimizes strategy selection. Specific settings include optimizing adaptive designs, multiplicity and subgroup analysis strategies, and overall development decision-making criteria around Go/No-Go. After this book, the reader will be equipped to extend the CSE framework to their particular development challenges as well.

How do we identify and measure human disease in the past? In the absence of soft tissue, paleoepidemiologists have developed ingenious ways of assessing illness and mortality in archaeological populations. In this volume, the key methods of epidemiology are outlined for non-specialists, showing the importance of studying prevalence over incidence, adjustments needed in studying past groups, how to compare studies, and the dangers of assessing occupation based upon bone evidence. A model for planning a proper paleoepidemiological study concludes the volume. Both as an introduction to epidemiology for archaeologists, and as a primer on archaeological analysis for epidemiologists, this book should serve the needs of both populations.

As a result of the COVID-19 pandemic, medical statistics and public health data have become staples of newsfeeds worldwide, with infection rates, deaths, case fatality and the mysterious R figure featuring regularly. However, we don't all have the statistical background needed to translate this information into knowledge. In this lively account, Stephen Senn explains these statistical phenomena and demonstrates how statistics is essential to making rational decisions about medical care. The second edition has been thoroughly updated to cover developments of the last two decades and includes a new chapter on medical statistical challenges of COVID-19, along with additional material on infectious disease modelling and representation of women in clinical trials. Senn entertains with anecdotes, puzzles and paradoxes, while tackling big themes including: clinical trials and the development of medicines, life tables, vaccines and their risks or lack of them, smoking and lung cancer, and even the power of prayer.

A uniquely accessible overview of statistics for the medical industry

Statistics is a vital discipline with growing applications across many industries, especially the ever-evolving field of health care, where it plays an essential part in the design of new medical devices, the implementation and analysis of clinical trials, and various epidemiological studies. In today’s modern age of computing, both statistical methodology and its applications are expanding as rapidly as the technology will allow, resulting in an upsurge of new developments and more effective methodologies.

Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap addresses the need for a book that presents a basic, accurate, and up-to-date overview of statistical methodology as it applies to today’s health care industry. The authors, both professionals in the areas of medical consulting and epidemiological research, provide balanced coverage of the latest developments in the industry, liberally illustrated with real-world examples. Students and professionals will find this text helpful in several important ways:

• Presents motivating applications in light of honest theory
• Incorporates resampling statistics software throughout
• Discusses Outliers by way of detection and treatment
• Covers such recent statistical advances as bootstrapping
• Includes helpful exercises throughout

A lucid writing style and numerous real-world examples add to the book’s appeal and value, and make a complex subject uniquely accessible to a diverse audience including medical personnel, public health trainees, as well as nursing and medical students.

Produced amidst the still rippling effects of a pandemic and as the world experiences the increasing burden of global warming and a rapidly changing biosphere, the second edition of Parasitology: A Conceptual Approach offers a timely overview of the eukaryotic parasites affecting human health and the health of domestic and wild animals and plants. The book offers a broadly encompassing, integrative view of the phenomenon of parasitism and of the remarkable diversity of the world's parasites. This second edition has been thoroughly updated on all aspects of parasitism, including expanded sections on parasite biodiversity, parasite genomes, the interface between parasitology and disease ecology, and applications of new techniques like CRISPR and gene drives for parasite control. Key selling features: Emphasis on a distinctive integrative and conceptual approach rather than the taxon-by-taxon approach used in most parasitology books A concise, handy Rogues Gallery section that summarizes the basic biology for the most important eukaryotic parasites of humans and domestic animals, one a reader is repeatedly directed to throughout the chapters Outstanding full-color illustrations and photographs to reinforce key points The use of text boxes to set apart important topics or ideas that deserve special emphasis Provision of end-of-chapter summaries, questions to test understanding and key references for those wishing to seek further information Reference to particular URLs to highlight recent developments that often pose new and distinctive problems awaiting solution Parasitology: A Conceptual Approach is designed for an upper-level undergraduate audience, but its readability and careful explanation of underlying scientific concepts and terminology makes it appropriate for anyone seeking a broader understanding of the impact of infectious organisms on our well-being and the changes underway in the modern world.

To advance the epidemiological analysis of social inequalities in health, and of the ways in which population distributions of disease, disability, and death reflect embodied expressions of social inequality, this volume draws on articles published in the "International Journal of Health Services" between 1990 and 2000. Framed by ecosocial theory, it employs ecosocial constructs of "embodiment"; "pathways of embodiment"; "cumulative interplay of exposure, susceptibility, and resistance across the lifecourse"; and "accountability and agency" to address the question; and who and what drives current and changing patterns of social inequalities in health.

Advancing the development, validation, and use of patient-reported outcome (PRO) measures, Patient-Reported Outcomes: Measurement, Implementation and Interpretation helps readers develop and enrich their understanding of PRO methodology, particularly from a quantitative perspective. Designed for biopharmaceutical researchers and others in the health sciences community, it provides an up-to-date volume on conceptual and analytical issues of PRO measures. The book discusses key concepts relating to the measurement, implementation, and interpretation of PRO measures. It covers both introductory and advanced psychometric and biostatistical methods for constructing and analyzing PRO measures. The authors include many relevant real-life applications based on their extensive first-hand experiences in the pharmaceutical industry. They implement a wealth of simulated datasets to illustrate concepts and heighten understanding based on practical scenarios. For readers interested in conducting statistical analyses of PRO measures and delving more deeply into the analytic details, most chapters contain SAS code and output that illustrate the methodology. Along with providing numerous references, the book highlights current regulatory guidelines.

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods. The emphasis throughout is on the application of the methods to the health sciences, with worked examples using real data. Provides a systematic overview of novel empirical likelihood techniques. Presents a good balance of theory, methods, and applications. Features detailed worked examples to illustrate the application of the methods. Includes R code for implementation. The book material is attractive and easily understandable to scientists who are new to the research area and may attract statisticians interested in learning more about advanced nonparametric topics including various modern empirical likelihood methods. The book can be used by graduate students majoring in biostatistics, or in a related field, particularly for those who are interested in nonparametric methods with direct applications in Biomedicine.

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book's novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.

As a maritime trading nation, the issue of quarantine was one of constant concern to Britain. Whilst naturally keen to promote international trade, there was a constant fear of importing potentially devastating diseases into British territories. In this groundbreaking study, John Booker examines the methods by which British authorities sought to keep their territories free from contagious diseases, and the reactions to, and practical consequences of, these policies. Drawing upon a wealth of documentary sources, Dr Booker paints a vivid picture of this controversial episode of British political and mercantile history, concluding that quarantine was a peculiarly British disaster, doomed to inefficiency by the royal prerogative and concerns for trade and individual liberty. Whilst it may not have fatally hindered the economic development of Britain, it certainly irritated the City and the mercantile elites and remained a source of constant political friction for many years. As such, an understanding of British maritime quarantine provides a fuller picture of attitudes to trade, culture, politics and medicine in the eighteenth and nineteenth centuries.

This issue of Neurologic Clinics, edited by Dr. David Younger, is focused on Global and Domestic Public Health and Neuroepidemeiology. Topics covered in the issue include, but are not limited to research methods; gene-environment interplay; Alzheimer disease; headache disorders; multiple sclerosis and related disorders; lyme neuroborreliosis; cerebrovascular disease; neuro-oncology; community health needs assessment; and neurologic public health in the BRICS.

Get Up to Speed on Many Types of Adaptive Designs Since the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. New to the Second Edition Twelve new chapters covering blinded and semi-blinded sample size reestimation design, pick-the-winners design, biomarker-informed adaptive design, Bayesian designs, adaptive multiregional trial design, SAS and R for group sequential design, and much more More analytical methods for K-stage adaptive designs, multiple-endpoint adaptive design, survival modeling, and adaptive treatment switching New material on sequential parallel designs with rerandomization and the skeleton approach in adaptive dose-escalation trials Twenty new SAS macros and R functions Enhanced end-of-chapter problems that give readers hands-on practice addressing issues encountered in designing real-life adaptive trials Covering even more adaptive designs, this book provides biostatisticians, clinical scientists, and regulatory reviewers with up-to-date details on this innovative area in pharmaceutical research and development. Practitioners will be able to improve the efficiency of their trial design, thereby reducing the time and cost of drug development.

Identity theft, criminal investigations of the dead or missing, mass disasters both by natural causes and by criminal intent - with this as our day to day reality, the establishment and verification of human identity has never been more important or more prominent in our society. Maintaining and protecting the integrity of out identity has reached levels of unprecedented importance and has led to international legislation to protect our human rights.
Forensic Human Identification: An Introduction examines the variety of biological indicators that are available to investigators and illustrates the basic principles of each discipline. While DNA and fingerprints are clearly the favored methods of identification, they require a prior record and verifiable baseline for comparison. When these tools cannot be used it is necessary to employ those biological factors with higher variation and lower diagnostic probability. This reference introduces a number of different specialties such as, foot- and earprinting, dental interventions, skeletal anomalies, tattoos, facial reconstruction, personal effects, and handwriting.
While recognizing that no single factor is an absolute indicator of identity, the contributors explain how a multitude of factors taken into summative consideration can establish a probability for confirmation. They discuss the difference between positive and probable identification and the use of exclusion to confirm identity. Using three high profile case studies, the book addresses the context of human identification in today's society and illustrates the use of techniques described in the text.
Heavily referenced and using more than 120 charts, figures, photographs, and tables, Forensic Human Identification: An Introduction provides detailed introductory and extended information to newcomers and experts alike on the wide range of identification techniques in international practice.

Health geographers are well situated for undertaking population health intervention research (PHIR), and have an opportunity to be at the forefront of this emerging area of inquiry. However, in order to advance PHIR, the scientific community needs to be innovative with its methodologies, theories, and ability to think critically about population health issues. For example, using alternatives (e.g. community-based participatory research) to traditional study designs such as the randomised control trial, health geographers can contribute in important ways to understanding the complex relationships between population health (both intended and unintended consequences), interventions and place. Representing a diverse array of health concerns ranging across chronic and infectious diseases, and research employing varied qualitative and quantitative methodologies, the contributions to this book illustrate how geographic concepts and approaches have informed the design and planning of intervention(s) and/or the evaluation of health impacts. For example, the authors argue that geographically targeting interventions to places of high-need and tailoring interventions to local place contexts are critically important for intervention success. Including an afterword by Professor Louise Potvin, this book will appeal to researchers interested in population and public/community health and epidemiology as well as health geography.

Genetic Association Studies is designed for students of public health, epidemiology, and the health sciences, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in genetic disease is also highlighted. Genetic Association Studies will enable readers to understand and critique genetic association studies and set them on the way to designing, executing, analyzing, interpreting, and reporting their own.

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I-II Clinical Trials describes how phase I-II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes. Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.

Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it's more crucial than ever to know how well the healthcare system and all its components - from staff member to regional network - are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

* The first book to explore the complex challenges of the Covid19 pandemic from an inter-disciplinary perspective. * Written by leaders across a range of different sectors that are impacted by the pandemic - medicine, business, law, higher education, government. * The book provides an accessible overview of some of the key tensions presented by the Covid19 pandemic to enable policymakers and researchers to gain insight quickly.