This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

This book comprehensively reviews various vector-borne diseases and their control methods. It discusses morphology, life history, and pathogenicity of protozoan and helminth parasites. Further, it analyzes host-parasite interactions and their adaptation within the host system for understanding parasitic infections. The book discusses the complex life cycle, biochemical adaptations, and molecular biology of the parasites. It investigates the immunological response to different infectious agents and explores new targets for combined therapeutic approaches. It also summarizes the evolution of parasitism and the ecology of parasites of the different phylum. Lastly, it provides information on vector biology emphasizing the role of basic vector research in developing future disease control methods and improving upon the existing approaches.

This book addresses the COVID-19 pandemic from a quantitative perspective based on mathematical models and methods largely used in nonlinear physics. It aims to study COVID-19 epidemics in countries and SARS-CoV-2 infections in individuals from the nonlinear physics perspective and to model explicitly COVID-19 data observed in countries and virus load data observed in COVID-19 patients. The first part of this book provides a short technical introduction into amplitude spaces given by eigenvalues, eigenvectors, and amplitudes.In the second part of the book, mathematical models of epidemiology are introduced such as the SIR and SEIR models and applied to describe COVID-19 epidemics in various countries around the world. In the third part of the book, virus dynamics models are considered and applied to infections in COVID-19 patients. This book is written for researchers, modellers, and graduate students in physics and medicine, epidemiology and virology, biology, applied mathematics, and computer sciences. This book identifies the relevant mechanisms behind past COVID-19 outbreaks and in doing so can help efforts to stop future COVID-19 outbreaks and other epidemic outbreaks. Likewise, this book points out the physics underlying SARS-CoV-2 infections in patients and in doing so supports a physics perspective to address human immune reactions to SARS-CoV-2 infections and similar virus infections.

Handbook on the Toxicology of Metals, Fourth Edition bridges the gap between established knowledgebase and new advances in metal toxicology to provide one essential reference for all those involved in the field. This book provides comprehensive coverage of basic toxicological data, emphasizing toxic effects primarily in humans, but also those of animals and biological systems in vitro. The fourth edition also contains several new chapters on important topics such as nanotoxicology, metals in prosthetics and dental implants, gene-environment interaction, neurotoxicology, metals in food, renal, cardiovascular, and diabetes effects of metal exposures and more. Volume I covers "General Considerations" and Volume II is devoted to "Specific Metals." A multidisciplinary resource with contributions from internationally-recognized experts, the fourth edition of the Handbook on the Toxicology of Metals is a prominent and indispensable reference for toxicologists, physicians, pharmacologists, engineers, and all those involved in the toxicity of metals.

Fighting an Invisible Enemy narrates the founding and growth of the internationally. renowned National Institute for Communicable Diseases (NICD) in South Africa, from its foundations in the early twentieth century as the South African Institute for Medical Research to, later, the National Institute for Virology. It started humbly, as did many of its sister public health institutions around the world, and faced daunting obstacles: financial restrictions, bureaucratic straitjacketing, international isolation during the apartheid era and, in later years, the calumny of governmental AIDS denial. Following the triumph of the eradication of the once dreaded smallpox, the NICD plays a crucial role in the ongoing global effort to eradicate polio. While South Africa carries the misfortune of the largest HIV/AIDS pandemic in the world, the institute's HIV research unit has become a world leader.

More remote from public notice are the laboratories and epidemiologists supporting the constant surveillance of communicable diseases and the alerts they provide for impending outbreaks or pandemics, such as Ebola or the Covid-19 pandemic.

The NICD is a flagship organisation in public health in South Africa and this book, by its first executive director and internationally recognised virologist Dr Barry Schoub, paints a vivid portrait of its accomplishments. Enhanced by a collection of images of its projects and facilities, the bookwill be of interest to public health specialists and activists, as well as a more general audience.

This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major roll in scientific and social investigations. Arranged in rough historical order, the text starts with the ideas of provability that underpin statistical methods and progresses through the developments of the nineteenth and twentieth centuries to modern concerns and solutions. Assuming only a basic level of Mathematics and with numerous examples and illustrations, this text presents a valuable resource not only to the experienced researcher but also to the student, by complementing courses in a wide range of substantive areas and enabling the reader to rise above the details in order to see the overall structure of the subject.

Now in its second edition, this book provides a state of the art overview on basic concepts of epigenetic epidemiology and a comprehensive review of the rapidly evolving field of human epigenetics. Epigenetics plays an important role in shaping who we are and contributes to our prospects of health and disease. Unlike our genetic inheritance, our epigenome is malleable throughout the lifecourse and is shaped by our environmental experiences. Population-based epidemiologic studies increasingly incorporate epigenetic components. These so called epigenome-wide association studies (EWAS) contribute substantially to our understanding of the relevance of epigenetic marks, such as DNA methylation, histone modification, and non-coding RNAs for disease causation. Written by leading experts in the field, the book opens with a comprehensive introduction of the principles of epigenetic epidemiology and discusses challenges in study design, analysis, and interpretation. It summarizes the latest advances in epigenetic laboratory techniques, the influence of age and environmental factors on shaping the epigenome, the epigenetic clock, and the role of epigenetics in the developmental origins hypothesis. The final part focuses on epigenetic epidemiology of various health conditions such as imprinting disorders, cancer, infectious diseases, inflammation and rheumatoid arthritis, asthma, metabolic disorder and vascular disease, as well as neurodevelopmental and psychiatric disorders. Given its scope, Epigenetic Epidemiology is an indispensable resource for researchers working in the field of human epigenetics.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

"The Advances in Bioethics" series is devoted to publishing collections of original papers and multi-authored volumes that advance the field of bioethics either by exploring new areas, or by taking new approaches to traditional areas. Although the series is published in English, its scope is international, and manuscripts are welcome from authors throughout the world. Divided into three sections this volume covers: Human Rights, Public Safety, and Public Policy; Practitioner Responsibilities During Times of Epidemics; Global Dimensions of Epidemics - each chapter in the book goes in depth to discuss the issues surrounding the topic in question and combines a theoretical thought process with practical application.

Tamoxifen Tales: Suggestions for Scientific Survival presents a case study describing the academic journey of teams behind major advances in medical sciences, highlighting lessons learned that are applicable to the next generation of scientists. This book provides a manual on the successful mentoring of young scientists, including stories describing how training experience shaped careers to become leaders in academia and the pharmaceutical industry. The book documents Professor V. Craig Jordan's 50-year career in medical sciences that led to the discovery and development of Selective Estrogen Receptor Modulators (SERMs), which became the standard of women's healthcare around the world. Additionally, it illustrates the versatility of a scientist with a commitment to serving societies. This important resource will be a useful and interesting book for established medical scientists, research mentors and advanced students wanting to chart a successful and impactful research career.

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students' anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep ("organic") understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/

'A brilliant expose' - Danny Dorling Covid-19 has exposed the limits of a neoliberal public health orthodoxy. But instead of imagining radical change, the left is stuck in a rearguard action focused on defending the NHS from the wrecking ball of privatisation. Public health expert Christopher Thomas argues that we must emerge from Covid-19 on the offensive - with a bold, new vision for our health and care. He maps out five new frontiers for public health and imagines how we can move beyond safeguarding what we have to a radical expansion of the principles put forward by Aneurin Bevan, the founder of the NHS, over 70 years ago. Beyond recalibrating our approach to healthcare services, his blueprint includes a fundamental redesign of our economy through Public Health Net Zero; a bold new universal public health service fit to address the real causes of ill health; and a major recalibration in the efforts against the epidemiological reality of an era of pandemics.

This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.

Preventing War and Promoting Peace: A Guide for Health Professionals is an interdisciplinary study of how pervasive militarism creates a propensity for war through the influence of academia, economic policy, the defense industry, and the news media. Comprising contributions by academics and practitioners from the fields of public health, medicine, nursing, law, sociology, psychology, political science, and peace and conflict studies, as well as representatives from organizations active in war prevention, the book emphasizes the underlying preventable causes of war, particularly militarism, and focuses on the methods health professionals can use to prevent war. Preventing War and Promoting Peace provides hard-hitting facts about the devastating health effects of war and a broad perspective on war and health, presenting a new paradigm for the proactive engagement of health professions in the prevention of war and the promotion of peace.

AN ESSENTIAL NEW RESOURCE ON A FUNDAMENTAL DETERMINANT OF HEALTH Sleep, along with the sleep-related behaviors that impact sleep quality, have emerged as significant determinants of health and well-being across populations. An emerging body of research has confirmed that sleep is strongly socially patterned, following trends along lines of socioeconomic status, race, immigration status, age, work, and geography. The Social Epidemiology of Sleep serves as both an introduction to sleep epidemiology and a synthesis of the most important and exciting research to date, including: * An introduction to sleep epidemiology, including methods of assessment and their validity, the descriptive epidemiology of sleep patterns and disorders, associations with health, and basic biology * What we know about the variation of sleep patterns and disorders across populations, including consideration of sleep across the lifespan and within special populations * Major social determinants of sleep (including socioeconomic status, immigration status, neighborhood contexts, and others) based on the accumulated research With editors from both population science and medicine, combined with contributions from psychology, sociology, demography, geography, social epidemiology, and medicine, this text codifies a new field at the intersection of how we sleep and the social and behavioral factors that influence it.

The UK housing system has been described as being in 'crisis', but suddenly in 2020 homes were on the COVID-19 frontline, used for shielding, isolating and care. Most were used by more people, for more hours, for more activities. Many households were cut off from normal services and contacts, and many lost the means to pay for their homes. Millions of infections occurred at home, and inequalities in household type, housing space, cost and tenure contributed to the unequal impact of the pandemic. This book brings together a wealth of data, individual testimony and analysis, in one convenient resource for students, scholars and practitioners.

Examines psychiatric epidemiology's unique evolution, conceptually and socially, within and between diverse regions and cultures, underscoring its growing influence on the biopolitics of nations and worldwide health campaigns. Psychiatric epidemiology, like the epidemiology of cancer, heart disease, or AIDS, contributes increasingly to shaping the biopolitics of nations and worldwide health campaigns. Despite the field's importance, this is the first volume of historical scholarship addressing psychiatric epidemiology. It seeks to comprehensively trace the development of the discipline and the mobilization of its constructs, methods, and tools to further social ends. It is through this double lens-conceptual and social-that it envisions the history of psychiatric epidemiology. Furthermore, its chapters constitute elements for that history as a global phenomenon, formed by multiple approaches. Those numerous historical paths have not resulted in a uniform disciplinary field based on a common paradigm, as happened arguably in the epidemiology of cardiovascular disease and cancer, but in a plurality of psychiatric epidemiologies driven by different intellectual questions, political strategies, reformist ideals, national cultures, colonial experiences, international influences, and social control objectives. When examined together, the chapters depict an uneven global development of epidemiologies formed within distinct political-cultural regions but influenced by the transnational circulation and selective uptake of concepts, techniques, and expertise. These moved through multidirectional pathways between and within the Global North and South. Authored by historians, anthropologists, and psychiatrists, chapters trace this complex history, focusing on Brazil, Nigeria, Senegal, India, Taiwan, Japan, the United Kingdom, the United States and Canada, as well as multicountry networks.

This book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. It opens with two introductory chapters on the immunology of vaccines to provide readers with the necessary background knowledge. It then continues with an in-depth exploration of the analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.

In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next?
Statistical Tools for Epidemiologic Research thoroughly explains not just how statistical data analysis works, but how the analysis is accomplished. From the basic foundation laid in the introduction, chapters gradually increase in sophistication with particular emphasis on regression techniques (logistic, Poisson, conditional logistic and log-linear) and then beyond to useful techniques that are not typically discussed in an applied context. Intuitive explanations richly supported with numerous examples produce an accessible presentation for readers interested in the analysis of data relevant to epidemiologic or medical research.

The COVID-19 pandemic shocked the world. It shouldn't have. Since this century's turn, epidemiologists have warned of new infectious diseases. Indeed, H1N1, H7N9, SARS, MERS, Ebola Makona, Zika, and a variety of lesser viruses have emerged almost annually. But what of the epidemiologists themselves? Some bravely descended into the caves where bat species hosted coronaviruses, including the strains that evolved into the COVID-19 virus. Yet, despite their own warnings, many of the researchers appear unable to understand the true nature of the disease-as if they are dead to what they've seen. Dead Epidemiologists is an eclectic collection of commentaries, articles, and interviews revealing the hidden-in-plain-sight truth behind the pandemic: Global capital drove the deforestation and development that exposed us to new pathogens. Rob Wallace and his colleagues-ecologists, geographers, activists, and, yes, epidemiologists-unpack the material and conceptual origins of COVID-19. From deepest Yunnan to the boardrooms of New York City, this book offers a compelling diagnosis of the roots of COVID-19, and a stark prognosis of what-without further intervention-may come.

Mathematical Models of Biological Systems provides a practical introduction to basic mathematical modelling methodology and analysis. It covers a variety of biological applications and uses these topics in turn to highlight key components in the art of modelling. Its primary aim is to give students the tools to translate simple, real-world biological problems into rigorous mathematical models. A secondary aim is to teach the reader how to critically assess the modelling components in the primary life science literature.
The book covers deterministic as well as stochastic dynamics, continuous-time as well as discrete-time dynamics, partial differential equations, dimensional analysis, and curve fitting/parameter estimation. It contains numerous case studies, graded from elementary examples to more complicated problems, as well as a general treatment of good modelling practice. Although the book assumes a basic background in mathematics, specifically beginning calculus and elementary statistics, all requisite material is included in a series of appendices.

This book provides concrete scientific basis that we can conceive the possibility of modifying or even completely canceling aging process, despite the fact that aging is commonly regarded as the result of the overall effects of many uncontrollable degenerative phenomena. The authors illustrate in detail the mechanisms by which cells and the whole organism age. Actions by which it is possible, or will be possible within a limited time, to operate for modifying aging are also debated. The discussion is conducted within the frame and the concepts of evolutionary medicine, which is also indispensable for distinguishing between the manifestations of aging and: (i) diseases that worsen with age, and (ii) acceleration of normal aging rates, caused by unhealthy lifestyle habits and other avoidable factors. The book also discusses the impact of aging on overall mortality and the strange situation that, according to official statistics, aging does not exist as cause of death. This book is a turning point between a gerontology and geriatrics conceived as the study and vain treatment of an incurable condition and one in which these disciplines examine the how and why of a physiological phenomenon that can be modified up to a possible total control. This means transforming the medical prevention and treatment of physiological aging from the greatest failure to the greatest success of medicine.

This biography of Dr. Denis Parsons Burkitt, after whom the childhood cancer Burkitt's lymphoma was named, and who was a pioneer of the dietary fiber movement, paints a personal but holistic portrait of both the man and his life's work. Featuring excerpts from Dr. Burkitt's personal diaries, spanning seven decades from his boyhood to just before his passing, and extensive family archives, this book invites readers to follow Burkitt's journey through life and experience his tribulations and successes. Prof. John Cummings was a colleague of Dr. Burkitt and weaves the tale of his life through the lens of family, faith, and science. The journey takes Burkitt from his childhood in Ireland, a country undergoing major social upheaval, through his medical studies in Dublin, to army service in Africa in the midst of WWII and the independence movements that swept the continent in the following years. During his two decades spent in Uganda, working for the Colonial Medical Service, Burkitt made his first major contribution to cancer research - the characterization of Burkitt's lymphoma and its possible viral cause. Following his return to England in 1966, he turned his attention to the cause of 'Western Diseases' especially the role of dietary fibre in the prevention of disease and promotion of health. This earned him even wider international recognition and helped to inspire what is a vital field of research today. The book examines Burkitt's personal views of the world around him, including his experiences as a committed evangelical Christian who had been raised an Irish Protestant, and the challenges, both familial and cultural, that this elicited from and towards him and his scientific work. The lymphoma and later the fibre story propelled Denis into an orbit of worldwide travel, fame and many honours. An engaging speaker but man of great humility, always giving the credit for much of what he did to others, he left a legacy of evidence and ideas for the causes of cancer and prevention of disease from which we all now benefit.

Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage.