A Choice Outstanding Academic Title of the Year "A critical, poignant postmortem of the epidemic." -Washington Post "Forceful and instructive...Sabeti and Salahi uncover competition, sabotage, fear, blame, and disorganization bordering on chaos, features that are seen in just about any lethal epidemic." -Paul Farmer, cofounder of Partners in Health "The central theme of the book...is that common threads of dysfunction run through responses to epidemics...The power of Outbreak Culture is its universality." -Nature "Sabeti and Salahi present a wealth of evidence supporting the imperative that outbreak response must operate in a coordinated, real-time manner." -Science As we saw with the Ebola outbreak-and the disastrous early handling of the COVID-19 coronavirus pandemic-a lack of preparedness, delays, and system-wide problems with the distribution of critical medical supplies can have deadly consequences. Yet after every outbreak, the systems put in place to coordinate emergency responses are generally dismantled. One of America's top biomedical researchers, Dr. Pardis Sabeti, and her Pulitzer Prize-winning collaborator, Lara Salahi, argue that these problems are built into the ecosystem of our emergency responses. With an understanding of the path of disease and insight into political psychology, they show how secrecy, competition, and poor coordination plague nearly every major public health crisis and reveal how much more could be done to safeguard the well-being of caregivers, patients, and vulnerable communities. A work of fearless integrity and unassailable authority, Outbreak Culture seeks to ensure that we make some urgently needed changes before the next pandemic.

This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book presents the extreme complexity of epidemiologic research in a concise manner that will address the issue of confounders, thus allowing for more valid inferences and yielding results that are more reliable and accurate.

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues. The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.

Hepatitis C in Developing Countries: Current and Future Challenges explores the current state of HCV in several countries, including Africa, Asia and South America. It maintains a dedicated focus on the epidemiology, clinical patterns, virologic diversity, coinfections, natural history and progression, complications, and response to standard of care (SOC) pegylated interferon and ribavirin therapy of HCV with recommendations specific to middle and low income countries. Readers will find detailed information on the burden of HCV infection from a global health and economic perspective, along with data from multicenter trials on DAAs that have enrolled patients infected with HCV non-genotype 1.

A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets. New to the Second Edition A new chapter on non-linear regression models A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken Additional exercises in most chapters A summary of statistical formulas related to the specific designs used to teach the statistical concepts This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.

Disaster Epidemiology: Methods and Applications applies the core methods of epidemiological research and practice to the assessment of the short- and long-term health effects of disasters. The persistent movement of people and economic development to regions vulnerable to natural disasters, as well as new vulnerabilities related to environmental, technological, and terrorism incidents, means that in spite of large global efforts to reduce the impacts and costs of disasters, average annual expenditures to fund rebuilding from catastrophic losses is rising faster than either population or the gross world product. Improving the resilience of individuals and communities to these natural and technological disasters, climate change, and other natural and manmade stressors is one of the grand challenges of the 21st century. This book provides a guide to disaster epidemiology methods, supported with applications from practice. It helps researchers, public health practitioners, and governmental policy makers to better quantify the impacts of disaster on the health of individuals and communities to enhance resilience to future disasters. Disaster Epidemiology: Methods and Applications explains how public health surveillance, rapid assessments, and other epidemiologic studies can be conducted in the post-disaster setting to prevent injury, illness, or death; provide accurate and timely information for decisions makers; and improve prevention and mitigation strategies for future disasters. These methods can also be applied to the study of other types of public health emergencies, such as infectious outbreaks, emerging and re-emerging diseases, and refugee health. This book gives both the public health practitioner and researcher the tools they need to conduct epidemiological studies in a disaster setting and can be used as a reference or as part of a course.

This unique volume focuses on the 'tools' of medical statistics. It contains over 500 concepts or methods, all of which are explained very clearly and in detail.Each chapter focuses on a specific field and its applications. There are about 20 items in each chapter with each item independent of one another and explained within one page (plus references). The structure of the book makes it extremely handy for solving targeted problems in this area.As the goal of the book is to encourage students to learn more combinatorics, every effort has been made to provide them with a not only useful, but also enjoyable and engaging reading.This handbook plays the role of 'tutor' or 'advisor' for teaching and further learning. It can also be a useful source for 'MOOC-style teaching'.

This book offers an accessible and up-to-date reference on primate zoonoses. Recent years have witnessed a rise in human diseases zoonotically transferred from animals, with wild primates implicated in the spread of numerous newly emerging infections. The authors go beyond simply providing an inventory of diseases, helping readers to understand how and why they are transmitted. Important consideration is given to the contemporary cultural and ecological factors involved.

Somewhere in the world, in the next forty seconds, a person is going to commit suicide. Globally, suicides account for 50 percent of all violent deaths among men and 71 percent for women. Despite suicide prevention programs, therapy, and pharmacological treatments, the suicide rate is either increasing or remaining high around the world. Media and Suicide holds traditional and emergent media accountable for influencing an individual's decision to commit suicide. Global experts present research, historical analysis, theoretical disputes (including discussion on the Werther and Papageno effects), and policy regarding the media's impact on suicide. They answer questions about the effects of different types of media and storytelling, show how the impact of social media can be diminished, discuss internet bullying, mass-shootings and mass-suicides, show the effects of recovery stories, and much more. The editors also present examples of suicide policy in the United States, Switzerland, the United Kingdom, Ireland, and Hong Kong on how to best communicate reporting guidelines to decrease the copycat effect, especially in less developed nations where most of the world's nearly one million suicides occur each year. Although there is much work to be done to prevent media-influenced suicide, this innovative volume will contribute a large piece to this complex puzzle.

A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting. The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.

Rethinking Risk Assessment tells the story of a pioneering investigation that challenges preconceptions about the frequency and nature of violence among persons with mental disorders, and suggests an innovative approach to predicting its occurrence.

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.

The pharmaceutical industry is under increasing pressure to do more with less. Drug discovery, development, and clinical trial costs remain high and are subject to rampant inflation. Ever greater regulatory compliance forces manufacturing costs to rise despite social demands for more affordable health care. Traditional methodologies are failing and the industry needs to find new and innovative approaches for everything it does. Six Sigma in the Pharmaceutical Industry: Understanding, Reducing, and Controlling Variation in Pharmaceuticals and Biologics is the first book to focus on the building blocks of understanding and reducing variation using the Six Sigma method as applied specifically to the pharmaceutical industry. It introduces the fundamentals of Six Sigma, examines control chart theory and practice, and explains the concept of variation management and reduction. Describing the approaches and techniques responsible for their own significant success, the authors provide more than just a set of tools, but the basis of a complete operating philosophy. Allowing other references to cover the structural elements of Six Sigma, this book focuses on core concepts and their implementation to improve the existing products and processes in the pharmaceutical industry. The first half of the book uses simple models and descriptions of practical experiments to lay out a conceptual framework for understanding variation, while the second half introduces control chart theory and practice. Using case studies and statistics, the book illustrates the concepts and explains their application to actual workplace improvements. Designed primarily for the pharmaceutical industry, Six Sigma in the Pharmaceutical Industry: Understanding, Reducing, and Controlling Variation in Pharmaceuticals and Biologics provides the fundamentals of variation management and reduction in sufficient detail to assist in transforming establishe

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.

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.

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.

This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation of its topic in "lecture?book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture book" has a sequence of illust- tions, formulae, or summary statements in the left column of each page and a script (i. e. , text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of mod- ing strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been ren- bered as Chaps. 11-16 in this third edition.

Having last year published "Up from Clinical Epidemiology & EBM" and also "Epidemiological Research: Terms and Concepts," Miettinen now - this time with collaboration from his junior colleague I. Karp - brings out this further introduction into epidemiological research; and he is now working on an introduction into clinical research, for publication next year. It evidently is Miettinen's felt time to crystallize the basic understandings he has come to as the culmination of a half-century of concentrated effort to advance the theory of epidemiological and 'meta-epidemiological clinical' research.

In accord with its title, this book focuses on research to develop the knowledge-base for preventive medicine, which mainly is knowledge about the causal origin -etilogy, etiogenesis - of illness. It first illustrates how wanting this knowledge still is, despite much research; and it then aims to guide the reader to more productive etiogenetic research.

This book places much emphasis on the need to assure relevance by principles-guided objects design for the studies, which now remains conspicuously absent from epidemiologists' concerns. And as for methods design, this book exposes the fallacies in the still-common 'cohort' and 'case-control' studies, defines the essentials of all etiogenetic studies, and then addresses the true options for design in this framework of shared essentials.

A good deal of attention is also given to the still commonly-held, very major, twin fallacies that screening for an illness is a preventive intervention, to be studied by randomized trials, and that research on it can imply rational guidelines or recommendations regarding decisions about the screening.

While Miettinen already is regarded as 'the father of modern epidemiology, ' he now appears to have become the father also of post-modern epidemiology, where 'epidemiology' still means epidemiological research."

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.

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.