This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests (TM), neural nets, support vector machines, nearest neighbors and boosting.

Features Includes multiple case studies. Suitable for scientists and professionals working on methods for mosquito control. Provides a much-needed focal point for interdisciplinary discussion.

What disease is and how it affects humans is the focus of this primer. Designed to cover the basics of communicable and non-communicable diseases, the book provides a framework for understanding the major health problems in our society. Hurster uses the Biological Laws of Disease to frame each discussion and to demonstrate how these laws relate to the prepathogenesis and pathogenesis stages of the natural history of any disease. Considerable attention is given to the roles of the individual, the community, and the government in bringing about behavior change with respect to disease prevention, detection, control, and management.

The book presents the latest advances in research into health effects of air pollution, with heavy motor vehicle traffic or cigarette smoke as the exemplar of pollution. The airways are the first-line defense system against pollution. The book focuses on respiratory ailments underlain by inflammation, increased susceptibility to infection, particularly acquired during harsh environmental conditions and exposures to particulate matter or pathogens. The importance of astute analysis of lung function for early diagnosis of disorders is underscored. A knowledge deficit concerning the aerosolized drug delivery through the airways also is addressed. Recent developments and viewpoints in the field of environmental health hazards as well as methodological advances in their assessment are provided. The book will be of interest to pulmonologists, healthcare providers, researchers and clinicians engaged in environment-related respiratory diseases, but also to policy makers concerned with clean ambient air quality.

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.

This volume presents the procedings of an "Advanced Research Workshop," held under the auspices of the NATO International Scientific Exchange Programme, on the Environmental and Non-environmental Determinants of the East-West Life Expectancy Gap in Europe. The workshop brought together individuals from Eastern and Western Europe and North America who had a common interest in understanding the evolution of the relative declines in life expectancy in Central and Eastern Europe, compared to the West, over the past 30 years. Between 1989 and 1993, I carried out a series of investigations into the effects of environmental pollution on human health in Central and Eastern Europe, at first, under the auspices of the World Bank, and later, under a broader multilateral, multi-agency arrangement known as the "Environment for Europe" Process. These investigations provided unparalleled access to environmental health data from the region, and offered a glimpse of what the contribution of pollution to health status was, and what it was not. At the same time, the Program in Population Health of the Canadian Institute for Advanced Research (CIAR) and the International Centre for Health and Society (ICHS) at University College, London, were embarking upon multi-disciplinary inquiries into the broad determinants of health in modern societies. The work of the CIAR provided a framework for conceptualizing the East-West life expectancy gap and its potential determinants; the work of the ICHS provided specific insights into the relative contributions of these determinants.

This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort, nested case-control and variations of these designs, such as stratified and two-stage designs. It presents a unified view of these sampling designs as representations of an underlying cohort or target population of interest. This enables various extended designs to be introduced and analysed with a similar approach: extreme sampling on the outcome (extreme case-control design) or on the exposure (exposure-enriched, exposure-density, countermatched), designs that re-use prior controls and augmentation sampling designs. Further extensions exploit aggregate data for efficient cluster sampling, accommodate time-varying exposures and combine matched and unmatched controls. Self-controlled designs, including case-crossover, self-controlled case series and exposure-crossover, are also presented. The test-negative design for vaccine studies and the use of negative controls for bias assessment are introduced and discussed. This book is intended for graduate students in biostatistics, epidemiology and related disciplines, or for health researchers and data analysts interested in extending their knowledge of study design and data analysis skills. This book Bridges the gap between epidemiology and the more mathematically oriented biostatistics books. Assembles the wealth of epidemiological knowledge about observational study designs that is scattered over several decades of scientific publications. Illustrates the performance of methods in real research applications. Provides guidelines for implementation in standard software packages (Stata, R). Includes numerous exercises, covering simple mathematical proofs, consideration of proposed or published designs, and practical data analysis.

This open access book examines health trajectories and health transitions at different stages of the life course, including childhood, adulthood and later life. It provides findings that assess the role of biological and social transitions on health status over time. The essays examine a wide range of health issues, including the consequences of military service on body mass index, childhood obesity and cardiovascular health, socio-economic inequalities in preventive health care use, depression and anxiety during the child rearing period, health trajectories and transitions in people with cystic fibrosis and oral health over the life course. The book addresses theoretical, empirical and methodological issues as well as examines different national contexts, which help to identify factors of vulnerability and potential resources that support resilience available for specific groups and/or populations. Health reflects the ability of individuals to adapt to their social environment. This book analyzes health as a dynamic experience. It examines how different aspects of individual health unfold over time as a result of aging but also in relation to changing socioeconomic conditions. It also offers readers potential insights into public policies that affect the health status of a population.

This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage. It discusses the advantages and disadvantages of each type of PCT, and provides sample size formulas, sensitivity analyses, and examples for sample size calculation. The generalized estimating equation (GEE) method will be employed to derive sample size formulas for various types of outcomes from the exponential family, including continuous, binary, and count variables. Experimental designs that have been frequently employed in PCTs will be discussed, including cluster randomized designs, matched-pair cluster randomized design, stratified cluster randomized design, stepped-wedge cluster randomized design, longitudinal cluster randomized design, and crossover cluster randomized design. It demonstrates that the GEE approach is flexible to accommodate pragmatic issues such as hierarchical correlation structures, different missing data patterns, randomly varying cluster sizes, etc. It has been reported that the GEE approach leads to under-estimated variance with limited numbers of clusters. The remedy for this limitation is investigated for the design of PCTs. This book can assist practitioners in the design of PCTs by providing a description of the advantages and disadvantages of various PCTs and sample size formulas that address various pragmatic issues, facilitating the proper implementation of PCTs to improve health care. It can also serve as a textbook for biostatistics students at the graduate level to enhance their knowledge or skill in clinical trial design. Key Features: Discuss the advantages and disadvantages of each type of PCTs, and provide sample size formulas, sensitivity analyses, and examples. Address an unmet need for guidance books on sample size calculations for PCTs; A wide variety of experimental designs adopted by PCTs are covered; The sample size solutions can be readily implemented due to the accommodation of common pragmatic issues encountered in real-world practice; Useful to both academic and industrial biostatisticians involved in clinical trial design; Can be used as a textbook for graduate students majoring in statistics and biostatistics.

Focusses on prospective scenarios in health to foresight possible futures Addresses the urgent needs of the key population, socio-technical, and health themes Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, AI robot for heart treatments Explores telemedicine using big data, deep learning, robotics, mobile and remote applications Reviews public health based on predictive analytics and disease trends

Cancer Disparities, the latest in the Advances in Cancer Research series, provides invaluable information on the exciting and fast-moving field of cancer research. This latest volume presents a broad introduction to a spectrum of factors contributing to cancer disparities that include ancestral informative markers' role in properly identifying race based on genetic ancestry, basic biological pathways contributing to cancer disparities, epidemiological factors linked to cancer disparities, and social/behavioral factors influencing cancer disparities.

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staff based in Rio de Janeiro, Brazil. Topics covered in this volume include infection modeling, with an emphasis on different aspects of the COVID-19 and novel Coronavirus spread; a description of the effectiveness of quarantine measures via dynamic analysis of SLIR model; hemodynamic simulations in time-dependent domains; an optimal control model for the Ebola disease; and the co-existence of chaos and control in the context of biological models. Texts in agroforestry, economic development, and wastewater treatment processes complete this volume. Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 20th edition of the BIOMAT International Symposium has received contributions by authors from 18 countries: Algeria, Brazil, Cameroon, Canada, Chile, China (Hong Kong), Colombia, Germany, Hungary, India, Italy, Morocco, Nigeria, Russia, Senegal, South Africa, USA, and Uzbekistan. Previous BIOMAT volumes with selected works from 2017, 2018, and 2019 were also published by Springer.

This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media's role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field. With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments in the field, from its conception to the 21st century, it enables readers to mature into competent practitioners of epidemiologic modeling.

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands.

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.

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 our 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.

This book presents models describing HIV transmission rates at population level, discussing the main statistical methods and analytical interventions. It also assesses the practical applicability of the various modelling techniques, offering readers insights into what methods are available and, more importantly, when they should be used to address HIV transmission at global level. The book includes realistic simulation models fitted to clarify the rate of HIV mother-to-child transmission (HIV MTCT), and substantiates the conclusions that can be drawn as well as the appropriate time for making global-level clinical decisions concerning people living with HIV/AIDS (PLHIVs). Intended for students, academics and researchers, the book offers more than just an introduction to the topic - it also features in-depth, yet easy-to-understand, descriptions of a new mathematical/statistical HIV mother-to-child transmission model, making it a useful resource for clinicians, public health workers and policymakers involved in implementing HIV-prevention programmes at national /global level.

Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.

Covers research on gene drives in Anopheline mosquitoes for malaria control, including aspects from field trials, modelling, risk assessment, regulatory processes, and ethical/political considerations Includes contributions from international leaders in the field Illustrated throughout with figures and references

Social psychiatry is a multidisciplinary field analyzing mechanisms of mental health issues comprehensively to contribute to society using the findings. Those findings include biological, psychological, and social aspects and they are based on psychiatry and connected with a wide variety of academic fields, including psychology, sociology, law, economics, and religious studies. Epidemiological research in psychiatry is a field of study in patients with psychiatric disorder attempting to investigate causes, to develop clinical applications of the results, and to determine applications to health services plans for individuals and/or communities. They are both foundation for understanding biopsychosocial view in psychiatry but not many comprehensive volumes covering the topic were not available until now. This book is thus a unique, comprehensive reference with evidence-based approach to provide concise summary of researches for such as schizophrenia, affective disorders, psychiatric disorders in the general practice setting, and disaster psychiatry, especially for the case of atomic bomb diseases. The studies were mostly carried out in the region of Nagasaki, the prefecture experienced a nuclear attack at the time of World War . Psychiatric findings in mental health problems among atomic bomb survivors and sufferers in Nagasaki has been established and Nagasaki is the only area that fulfills the conditions of the subject of the study of psychiatric epidemiology and social psychiatry which is going to be described in this book. This book provides a valuable resource not only for physicians and researchers in the field of psychiatry and mental health but for people who work for mental health welfare department."

This book examines the toxicological and health implications of environmental epigenetics and provides knowledge through an interdisciplinary approach. Included in this volume are chapters outlining various environmental risk factors such as phthalates and dietary components, life states such as pregnancy and ageing, hormonal and metabolic considerations and specific disease risks such as cancer cardiovascular diseases and other non-communicable diseases. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses.

This ambitious reference surveys worldwide efforts at controlling the spread of tuberculosis, with special emphasis on the developing world. Case studies from China, Pakistan, Nigeria, Indonesia, and other frontline countries demonstrate a wealth of information on clinical, cultural, socioeconomic, and other relevant factors. This compilation provides a valuable resource for creating successful intervention and prevention strategies. State-of-the-science snapshots pinpoint where short- and long-term initiatives stand today, from early detection and vaccination programs to new genetic technologies and drug therapies. This diverse group of perspectives and approaches offers innovative paths toward control and realistic odds for containing the threat, especially in the face of current co-epidemics and new drug-resistant strains. Among the topics in the Handbook: Diagnosis of tuberculosis: current pipeline, unmet needs, and new developments Concurrence of tuberculosis and other major diseases The tuberculosis outbreak response, investigation, and control The promise of new TB vaccines DNA fingerprinting of Mycobacterium tuberculosis: a rich source of fundamental and daily applicable knowledge Global tuberculosis surveillance The Handbook of Global Tuberculosis Control is urgent reading for leadership and staff of non-governmental organizations, government agencies, academic institutions, research centers, hospitals, and potentially businesses with interests in tuberculosis control. Additionally, the book's focus on TB in developing countries will attract a wider audience of practitioners, particularly those working in the broader fields of global public health, epidemiology, international development, and the socioeconomics of infectious diseases.

This textbook presents epidemiology in a practical manner, contextualized with discussions of theory and ethics, so that students and professionals from all academic backgrounds may develop a deep appreciation for how to conduct and interpret epidemiological research. Readers will develop skills to: -Search for and appraise literature critically, -Develop important research questions, -Design and implement studies to address those questions, -Perform and interpret fundamental statistical estimations and tests, -Consider the ethical implications of all stages of research, -Report findings in publications, and -Advocate for change in the public health setting. Epidemiology is and will remain a discipline in motion, and this textbook aims at reflecting this dynamism and keeping pace with its momentum. This textbook is not only a classroom tool with high utility but also an essential reference and guide for those engaging in research involving human subjects.