The Global Burden of Disease Study (GBD) is one of the largest-scale research collaborations in global health, distilling a wide range of health information to provide estimates and projections for more than 350 diseases, injuries, and risk factors in 195 countries. Its results are a critical tool informing researchers, policy-makers, and others working to promote health around the globe. A study like the GBD is, of course, extremely complex from an empirical perspective. But it also raises a large number of complex ethical and philosophical questions that have been explored in a series of collaborations over the past twenty years among epidemiologists, philosophers, economists, and policy scholars. The essays in this volume address issues of current and urgent concern to the GBD and other epidemiological studies, including rival understandings of causation, the aggregation of complex health data, temporal discounting, age-weighting, and the valuation of health states. The volume concludes with a set of chapters discussing how epidemiological data should and should not be used. Better appreciating the philosophical dimensions of a study like the GBD can make possible a more sophisticated interpretation of its results, and it can improve epidemiological studies in the future, so that they are better suited to produce results that can help us to improve global health.

What is the prevalence of insomnia in a particular age group, in men and women, or in Caucasians and African Americans? What is the average total sleep time among normal sleepers among these groups? How does the sleep of Caucasians and African Americans differ? These are just some of the questions addressed in "The Epidemiology of Sleep."
This new book presents the most detailed and comprehensive archive of normal and abnormal sleep patterns. Based on a landmark study supported by the National Institute on Aging, 772 subjects from a host of populations including men, women, and various age and ethnic groups, prepared detailed sleep diaries for a two-week period. The use of these sleep diaries yielded a plethora of data on such characteristics as normal sleep patterns, various forms of insomnia, fatigue, depression, anxiety, and daytime sleepiness differentiated by age, sex, and ethnicity. The results generated by these data, charted in the book's numerous tables and graphs, provide a critical methodological advance in the sleep literature.
"The Epidemiology of Sleep" opens with an overview of the rationale and unique characteristics of the study. This is followed by a comprehensive review of the existing epidemiological literature on sleep. Chapter three presents a detailed description of the methods used in the survey followed by meticulous information on the epidemiology of normal and insomnia sleep, that is unparalleled in the literature. Chapter six provides an archive of sleep patterns among African Americans. The book concludes with a discussion and interpretation of the most interesting findings.
This insightful study, coupled with the comprehensive review of the existing literature on the epidemiology of sleep, make this volume an invaluable resource for sleep researchers, clinicians, health and clinical psychologists, gerontologists, epidemiologists, and advanced students.

This book provides a complete and current overview of the correlation between ocean conditions and human health, publishing comprehensively for the first time on the direct interactions among oceanography, marine biology and impacts on human health. Specifically the text addresses how changing ocean conditions result in health impacts and disruptions, with a focus on cases in the USA. The changing ocean conditions that are discussed include diminishing marine biodiversity, climactic changes such as intensified weather events, shifting sea currents and increasing sea temperature. The book addresses the resulting health issues brought about by these various ocean conditions, such as emerging infectious diseases, starvation and poisoning among impacted communities, toxic algae blooms, threatened ecosystems, and other future implications. The text was developed in conjunction with scientists from Brown University, the University of Rhode Island, the University of Texas at Austin, the University of California at Riverside and Ochsner Health, all located in areas deeply impacted by the changing Oceans. The book will be of interest to marine research scientists, health care professionals, students, and general enthusiasts of oceanography and health.

Mosquitoes are significant vectors that transmit various pathogens to humans and other mammals. Mosquitoes seem to be omnipresent and easily breed in climates favourable to them. Life cycle of the Aedes species of mosquitoes is similar to others of its genera. This book focuses on Aedes mosquitoes that are responsible for many dreadful diseases and discusses every stage in the life cycle of the species. The contributing authors of this book have extensive teaching and research experience in the field of detection of viruses of Dengue, Chikungunya, yellow fever and West Nile. One of the contributing authors, Prof. Vinod Joshi, has researched on Dengue viruses for 17 years. The book provides a detailed account of the distribution of Aedes mosquitoes, their role as a vector and their control through various methods. Currently, there has been increased interest among researchers to mitigate the threat caused by Aedes mosquitoes and substantial investigation is being done on the mosquito's history, in characterizing present circumstances and to collaborate future efforts.

The alarm sounded by Canada's recently confirmed case of bovine spongiform encephalopathy (BSE) has reaffirmed the exigency of establishing improved safeguards and more aggressive surveillance protocols in North America and around the world. Research converging on the probable causative agent-prion proteins-calls for intensive assessment of the headway gained in tracing prions, testing for transmissible neurodegenerative diseases, and developing methods for cornering the epidemic. Administered by an illustrious panel of 36 international contributors, this timely book marshals techniques for prion protein assay and diagnosis of transmissible spongiform encephalopathies (TSEs).

This book describes some of the key epidemiological principles, scientific approaches and quality assurance frameworks required to design and conduct biobank studies in various settings. Using examples from contemporary biobanks, the book addresses the design features and practical procedures needed in order to launch and manage biobank studies, including consent and regulatory approval, the organisation of field work, management of data and biological samples, follow-up and verification of disease outcomes, development of IT systems for data collection, quality assurance and study management. Over the last two decades, several large biobank studies have been initiated in different populations, intended to greatly enhance the development of precision medicine. Contemporary biobank studies are extremely large and complex, and involve several decades of follow-up. Such studies pose major challenges in terms of ensuring rapid recruitment, obtaining high-quality data, minimising loss to follow-up, reliably classifying disease outcomes, and optimising the use of the biological samples collected. In this regard, the key to success lies not in planning the perfect study, but in planning the most appropriate, reliable, sustainable and future-proof study given the practical constraints of available resources, time and capacity. The authors of this handbook are epidemiologists, clinicians, software engineers, and laboratory and data scientists with extensive experience in conducting large biobank studies. The eight chapters can be read separately or together, and provide readers with essential information on how to design, implement and manage these studies. The state-of-the-art, innovative and scalable approaches and methodologies presented here are intended to stimulate the development of further population-based and hospital-based biobank studies in diverse populations.

Over the past decade, there have been many international calls to strengthen and support/sustain research capacity in lower- and middle-income countries (LMICs). This capacity is considered an essential foundation for cost-effective healthcare systems. While there have been long-standing investments by many countries and research funding organisations in the training of individuals for this purpose, in many LMICs research capacity remains fragmented, uneven and fragile. There is growing recognition that a more systems-oriented approach to research capacity-building is required. Nonetheless, there are considerable gaps in the evidence for approaches to capacity-building that are effective and sustainable. This book addresses these gaps, capturing what was learned from teams working on The Global Health Research Initiative. This book brings together the experiences of research capacity-building teams co-led by Canadians and LMIC researchers in several regions of the world, including Jamaica, Kenya, Sierra Leone, South Africa and Uganda.

This volume collects essays by the late bioethicist John D. Arras, best known for his many contributions to the methodology of bioethics. Always open-minded, Arras did not favor a single theory or view of method in bioethics, eschewing labels such as "casuist" or "pragmatist." He was conversant with the main philosophical methods that have dominated bioethics since the field's origin, including principlism, Gert's common morality, the "new casuistry", pragmatism, and others. Rather than defending any particular theory or method, though, Arras rigorously investigated those methods - and how they both expand and limit our field of vision. He sought, in the tradition of Kierkegaard, to make life "harder" for bioethics, by uncovering challenges to the field's analytical methods. His favorite mode of exploration and expression was the thoughtful essay. The essays collected here reveal him thinking through new problems and new possibilities, and they invariably yield fresh and valuable insights.

An introduction to classical biostatistical methods in epidemiology

Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:

• Many worked examples based on actual data
• Discussion of exact methods
• Recommendations for preferred methods
• Extensive appendices and references

Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.

For more information, visit www.wiley.com/mathematics

The get-it-over-with-quickly approach to statistics has been encouraged - and often necessitated - by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However, in later professional activities, clinicians and biomedical researchers will constantly be confronted with reports containing statistical expressions and analyses.

Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get you thinking about data and statistical procedures. It covers many new statistical methods and approaches like box plots, stem and leaf plots, concepts of stability, the bootstrap, and the jackknife methods of resampling. The book is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures, and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena.

Statistical procedures are an integral part of the basic background needed by biomedical researchers, students, and clinicians. Containing much more than most elementary texts, Principles of Medical Statistics fills the gap often found in the current curriculum. It repairs the imbalance that gives so little attention to the role of statistics as a prime component of basic biomedical education.

This widely used text provides a clear and critical summary of research approaches to the epidemiological study of workplace hazards. It describes the historical development of occupational epidemiology, methods for characterizing occupational exposures, and techniques for designing and implementing epidemiologic studies in this area. The relative strengths and limitations of various study designs for investigating specific health outcomes are emphasized. Also included are more advanced discussions of statistical analysis, exposure and dose modeling, and subsequent applications of data derived from epidemiologic research, as in meta-analysis, pooled analysis, and statistical analysis, exposure and dose modeling, and risk assessment. Since the first edition was published 15 years ago, there have been numerous advances in epidemiologic methods to accommodate a broadened scope of investigations of occupational exposures and associated adverse health outcomes. Thus, in this Second Edition the authors have updated their discussions of methodology to include such topics as case-cohort and case-crossover designs and statistical analysis of repeated measures data, and have expanded the examples they use throughout the book to demonstrate the applications of these methods to a wide range of acute and chronic health outcomes. They have also added a new chapter on occupational health sureillance. Their text is unique for its strong emphasis on the definition and assessment of exposures, the application of quantitative exposure data to epidemiologic models, and the recognition that improvements in workplace risk identification and quantification will come from careful integration of theseapproaches. This fine volume will serve both as a textbook for courses on occupational epidemiology and as a practical handbook of the design, implementation, and evaluation of research in this field.

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Historians have long recognized epidemics to be a significant, though sometimes hidden, factor in the fortunes of societies and civilizations. The study of epidemics heightens our understanding of relationships between economic systems and living conditions. It illuminates the ideologies and religious beliefs of the affected community and illustrates the efforts and inadequacies of public health systems. This investigation of the history of epidemics in various parts of Peru during the twentieth century opens up a new field for Latin American studies to include health and disease. These are important areas of the past that enable us to understand better the living conditions of people, the role of state authority and the dynamics of social movement. Marcos Cueto examines five series of epidemics: the bubonic plague of 1903-1930; the fever epidemic of 1919-1922; the typhus and small pox epidemics in the Andes; attempts to control and eradicate malaria, and the cholera epidemics of 1991. In each case he studies the biological and ecological factors that caused the outbreak, and the techniques and policies applied to fight it, together with the response of the affected society. The experience of epidemics in Peru has been cyclical. Poverty breeds disease which in turn results in further poverty. One of the aims of this study is to highlight areas of success and failure in the fight against epidemics in the hope that such awareness may help break this vicious circle.

Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.

This book takes a historical and anthropological approach to understanding how non-human hosts and vectors of diseases are understood, at a time when emerging infectious diseases are one of the central concerns of global health. The volume critically examines the ways in which animals have come to be framed as 'epidemic villains' since the turn of the nineteenth century. Providing epistemological and social histories of non-human epidemic blame, as well as ethnographic perspectives on its recent manifestations, the essays explore this cornerstone of modern epidemiology and public health alongside its continuing importance in today's world. Covering diverse regions, the book argues that framing animals as spreaders and reservoirs of infectious diseases - from plague to rabies to Ebola - is an integral aspect not only to scientific breakthroughs but also to the ideological and biopolitical apparatus of modern medicine. As the first book to consider the impact of the image of non-human disease hosts and vectors on medicine and public health, it offers a major contribution to our understanding of human-animal interaction under the shadow of global epidemic threat.

This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.

This book comprehensively reviews the 10 most influential epidemics in history, going beyond morbid accounts of symptoms and statistics to tell the often forgotten stories of what made these epidemics so calamitous. Unlike other books on epidemics, which either focus on the science behind how microbes cause disease or tell first-person accounts of one particular disease, Epidemics: The Impact of Germs and Their Power over Humanity takes a holistic approach to explaining how these diseases have shaped who we are as a society. Each of the worst epidemic diseases is discussed from the perspective of how it has been a causative agent of change with respect to our history, religious traditions, social interactions, and technology. In looking at world history through the lens of epidemic diseases, readers will come to appreciate how much we owe to the oldest and smallest parasites. Adults and students interested in science and history-and especially anyone who appreciates a good story and has a healthy curiosity for the lesser-known facts of life-will find this book of interest. Health-care workers will also benefit greatly from this text, as will college students majoring in biology or a pre-health field. Discusses epidemic disease as a major driving force in shaping our world Brings epidemic diseases out of the background of historical narratives and demonstrates how they have had an immensely important role in deciding wars, toppling empires, sparking major leaps in technology, and even changing the human genome Integrates science with history, sociology, religion, and other disciplines to provide the reader with a unique perspective not found in most other accounts of epidemic disease Shares fascinating insights such as how an epidemic of yellow fever helped to double the size of the United States and why tuberculosis was once considered a disease of the intellectual elite

Ticks of the family Ixodidae, commonly known as hard ticks, occur worldwide and are second only to mosquitoes as vectors of agents pathogenic to humans. Of the 729 currently recognized hard tick species, 283 (39%) have been implicated as human parasites, but the literature on these species is both immense and scattered, with the result that health professionals are often unable to determine whether a particular tick specimen, once identified, represents a species that is an actual or potential threat to its human host. In this book, two leading tick specialists provide a list of the species of Ixodidae that have been reported to feed on humans, with emphasis on their geographical distribution, principal hosts, and the tick life history stages associated with human parasitism. Also included is a discussion of 21 ixodid species that, while having been found on humans, are either not known to have actually fed or may have been misidentified. Additionally, 107 tick names that have appeared in papers on tick parasitism of humans, and that might easily confuse non-taxonomists, are shown to be invalid under the rules of zoological nomenclature. Although the species of ticks that attack humans have long attracted the attention of researchers, few comprehensive studies of these species have been attempted. By gleaning and analyzing the results of over 1,100 scientific papers published worldwide, the authors have provided an invaluable survey of hard tick parasitism that is unprecedented in its scope and detail.

Viruses and Society is geared towards professionals and students in college-level introductory biology courses devoted to understanding viruses, vaccines, and their global impact. The beginning of the book introduces cells, DNA, and viruses themselves. There follows a review of how the immune system works and how scientists and physicians harness the immune system to protect people through vaccines. Specific chapters will focus on the 1918 influenza pandemic, the fight to eradicate polio, the HIV/AIDS pandemic, and our current COVID-19 crisis. Additionally, the book reviews the uses of viruses in genetic engineering and in gene therapy as well. The book will conclude by describing public health initiatives to keep emerging viruses in check and the role of scientific communication in how viruses are perceived and have an impact on our society. Key Features 1) The text employs approachable and simplified language 2) Provides all the essential elements for understanding virus biology 3) Includes details on how viruses affect individuals 4) Describes the ways public health decisions are made in light of how viral pathogens spread 5) Highlights up to date scientific findings on the features of emerging viruses that will always be with us

This interdisciplinary volume gathers selected, refereed contributions on various aspects of public health from several disciplines and research fields, including the philosophy of science, epidemiology, statistics and ethics. The contributions were originally presented at the 1st Barcelona conference of "Philosophy of Public Health" (5th - 7th May 2016). This book is intended for researchers interested in public health and the contemporary debates surrounding it.

When we think of "climate change," we think of man-made global warming, caused by greenhouse gas emissions. But natural climate change has occurred throughout human history, and populations have had to adapt to the climate's vicissitudes. Anthony J. McMichael, a renowned epidemiologist and a pioneer in the field of how human health relates to climate change, is the ideal person to tell this story. Climate Change and the Health of Nations shows how the natural environment has vast direct and indirect repercussions for human health and welfare. McMichael takes us on a tour of human history through the lens of major transformations in climate. From the very beginning of our species some five million years ago, human biology has evolved in response to cooling temperatures, new food sources, and changing geography. As societies began to form, they too adapted in relation to their environments, most notably with the development of agriculture eleven thousand years ago. Agricultural civilization was a Faustian bargain, however: the prosperity and comfort that an agrarian society provides relies on the assumption that the environment will largely remain stable. Indeed, for agriculture to succeed, environmental conditions must be just right, which McMichael refers to as the "Goldilocks phenomenon." Global warming is disrupting this balance, just as other climate-related upheavals have tested human societies throughout history. As McMichael shows, the break-up of the Roman Empire, the bubonic Plague of Justinian, and the mysterious collapse of Mayan civilization all have roots in climate change. Why devote so much analysis to the past, when the daunting future of climate change is already here? Because the story of mankindas previous survival in the face of an unpredictable and unstable climate, and of the terrible toll that climate change can take, could not be more important as we face the realities of a warming planet. This sweeping magnum opus is not only a rigorous, innovative, and fascinating exploration of how the climate affects the human condition, but also an urgent call to recognize our species' utter reliance on the earth as it is.

Ever since Edwina Currie's salmonella, Britain has seemed cursed by major food safety scares, with E.coli and BSE particularly prominent. Amidst tabloid frenzy and recrimination, the public is dependent upon sober scientific risk assessment and rational evaluation of what went wrong. Hugh Pennington has been at the forefront of this as a scientist, expert witness and commentator, and this book is his accessible but rigorous account of these diseases and the events surrounding them. This is a disaster book for the general reader giving authoritative but non-technical accounts of BSE/variant CJD and E.coli O157 - what happened, what went wrong, the human interest, and the science - all in the context of disasters (like Piper Alpha, Aberfan, and rail crashes), history and politics.

Recent critiques of air quality management approaches currently employed in developed and many developing countries have suggested that efficiencies could be achieved if air quality management practices shifted from pollutant-by-pollutant approaches to a comprehensive multipollutant approach in which emission reduction decisions are based on relative risk and evaluated on their effectiveness in meeting environmental and health goals. This book assesses our technical readiness to undertake such an approach, and it outlines the technical developments that will be needed to achieve a risk-based approach air quality management that includes means for measuring the effectiveness of management decisions.

Simulating for a crisis is far more than creating a simulation of a crisis situation. In order for a simulation to be useful during a crisis, it should be created within the space of a few days to allow decision makers to use it as quickly as possible. Furthermore, during a crisis the aim is not to optimize just one factor, but to balance various, interdependent aspects of life. In the COVID-19 crisis, decisions had to be made concerning e.g. whether to close schools and restaurants, and the (economic) consequences of a 3 or 4-week lock-down had to be considered. As such, rather than one simulation focusing on a very limited aspect, a framework allowing the simulation of several different scenarios focusing on different aspects of the crisis was required. Moreover, the results of the simulations needed to be easily understandable and explainable: if a simulation indicates that closing schools has no effect, this can only be used if the decision makers can explain why this is the case. This book describes how a simulation framework was created for the COVID-19 crisis, and demonstrates how it was used to simulate a wide range of scenarios that were relevant for decision makers at the time. It also discusses the usefulness of the approach, and explains the decisions that had to be made along the way as well as the trade-offs. Lastly, the book examines the lessons learned and the directions for the further development of social simulation frameworks to make them better suited to crisis situations, and to foster a more resilient society.