Positively influences career choices within public health Applies basic science to problems raised by the COVID-19 pandemic such as vaccine development and herd immunity Prepares readers with context and tactics for understanding future infectious disease outbreaks Successfully used in college senior health sciences seminar Engaging and balanced treatment of the politicization of public health issues, especially COVID-19

Key Features: Provides the taxonomy of the concepts and a navigation tool for the field of DTx. Covers important strategic aspects of the DTx industry, thereby helping investors, developers, and regulators gain a better appreciation of the potential value of DTx. Expounds on many existing and emerging state-of-the art scientific and technological tools, as well as data privacy, ethical and regulatory considerations for DTx product development. Presents several case studies of successful development of some of the most remarkable DTx products. Provides some perspectives and forward-looking statements on the future of digital medicine.

Using "risk" as a conceptual lens, this book analyzes how communities across East Asia responded to the disruption unleashed by the COVID-19 pandemic. The contributors to this book look at how governments, societies, and individuals have perceived, experienced, dealt with and interpreted the pandemic and the transformations it has brought across countries like Japan, South Korea, Taiwan, Vietnam, and the Philippines. They examine pressing concerns such as infodemic, digital health literacy, media cynicism, telework, and digital inequalities in conjunction with issues such as public trust, identity formation, nationalism, and social fragmentation. They look at a wide range of questions relating to communication, mediation, and reactions to the challenges of the pandemic. An insightful resource for scholars of risk studies and of East Asian societies, the book is also a valuable reference for students and researchers of media and communication studies and sociology.

Very interdisciplinary, with authors from a wide range of academic backgrounds in the humanities and social sciences (e.g. philosophy, sociology, anthropology, law, political science, history). Offers five perspectives from the global South and is very global. Book publication will coincide with the public inquiry into the handling of the Covid-19 pandemic in the UK, which is bound to receive significant media attention both domestically and internationally. One of the first volumes to tackle the cost of lockdowns head-on. First systemic approach to the perspectives which non-STEM subjects bring to pandemic response and lockdowns.

This comprehensive book looks at COVID-19, along with other recent infectious disease outbreaks, with the broad aim of providing constructive lessons and critical reflections from across a wide range of perspectives and disciplinary interests within the risk analysis field. The chapters in this edited volume probe the roles of risk communication, risk perception, and risk science in helping to manage the ever-growing pandemic that was declared a public health emergency of international concern in the beginning of 2020. A few chapters in the book also include relevant content discussing past disease outbreaks, such as Zika, Ebola and MERS-CoV. This book distils past and present knowledge, appraises current responses, introduces new ideas and data, and offers key recommendations, which will help illuminate different aspects of the global health crisis. It also explores how different constructive insights offered from a 'risk perspective' might inform decisions on how best to proceed in response as the pandemic continues. The chapters in this book were originally published as a special issue of the Journal of Risk Research.

2020 was the first year of the COVID-19 pandemic, the most significant global pandemic since the 'Spanish flu' in 1918-1919. This book provides an analysis of the experience of the COVID-19 pandemic in a range of Commonwealth countries during 2020, covering public health, political, economic and international aspects. The Commonwealth, within which about one quarter of the world's population resides, provides a cross-section of the global experience of COVID-19. The Commonwealth ranges from highly populated countries such as India and Nigeria, to small island states and territories, encompassing also advanced industrialised countries and developing countries. The grouping also extends into many different regions of the world: Africa, South and Southeast Asia, Europe, the Americas and Oceania. In the first year of the pandemic, vaccines were still under development and national response strategies chosen by Commonwealth countries were diverse, spanning eradication, elimination, suppression and mitigation. The chapters in this book show the ways in which governments from a selection of Commonwealth countries responded to the multiple dimensions of the crisis, pointing to the factors that led to effective or less effective policies. This book originally appeared as a special issue of The Round Table.

DIRECTLY APPLIES TO LIFE ON LAND SDG and CLIMATE CHANGE SDG. International organizations such as the Intergovernmental Panel on Climate Change (IPPC), World Health Organization, Food and Agriculture Organization and World Organization for Animal Health have all reminded us that health impacts of climate change will become some of societies' greatest challenges. How we respond or adapt to climate change will have profound implications for people, animals, biodiversity, economies and ecosystems today as well as in the future. The book provides, in one easy reference, all of the information Animal Health practitioners need from defining the climate change concept, providing science-based evidence of climate change degradation of animal (ecosystem) health and successful mitigation and reversal strategies. Despite being arguably the most important challenges of the 21st century, engagement, and leadership from the animal health sector on climate change remains hard to find. This book attempts to support animal health professionals by providing information, knowledge, and experiences they can use to remedy this situation. There is no other book that covers anything like the proposed subject matter to this level of completeness and detail. The publishing of a text of this nature could help erode the power of the climate denialism lobby, shifting the debate and allowing mitigation efforts to gain higher priority. The tone of the book has an understated sense of urgency, leaning slightly toward presenting as a 'Manual for the apocalypse'. This has potential to be a benchmark publication. The text not only defines climate change but takes a proactive approach with intervention and corrective action examples: each chapter ends with suggestions on teachable and actionable ideas that could be used to mobilize concepts and information provided into education or advocacy. In this way, the book not only brings key ideas, principles and information to understand the implications for climate change for animal health, but will help translate the book's offerings into education and intervention. Teachers and researchers could use this one-of-a-kind book to frame a course or seminar series heightening student career engagement and stewardship of a more sustainable and healthier planet.

Unique selling point: The Internet of Things (IoT), AI, and analytics are studied on how they can combat pandemics Core audience: Researchers and medical informatics professionals Place in the market: Academic reference title on timely topic also appealing to professionals

This volume explores the implications of the COVID-19 pandemic for the sustainability of the present global political and economic system and the extent to which that system may as a result be undergoing transformation. Towards this aim, the contributing authors raise a number of key questions. First, what is likely to be the impact of the pandemic on the current global order based on neoliberal hyper-globalization? Second, what insights do earlier pandemics along with other inter-related crises such as those of climate, inequality, social reproduction, and continued fallout of the global financial crisis offer for understanding the medium- to long-term implications of COVID-19? Third, to what extent might the COVID pandemic lead to progressive political transformations? Towards this latter goal, the contributors to this volume also offer a number of suggestions as to what a post-COVID-19 world might look like and how post-COVID transformations might be channeled in a direction more conducive towards social justice and equality. The chapters in this book were originally published as a special issue of Globalizations.

Unique selling point: Combines theory with practice and applications for advanced intelligent healthcare informatics Core audience: Researchers and academics in healthcare informatics and machine learning Place in the market: Reference work

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'.

In 1986, the emergence of a novel brain disease in British cattle presented a unique challenge to scientists. How that challenge was addressed has been the subject of a public inquiry and numerous academic studies conducted to date. However, none of these investigations has sought to examine the reasoning of scientists during this critical period in the public health of the UK. Using concepts and techniques in informal logic, argumentation and fallacy theory, this study reconstructs and evaluates the reasoning of scientists in the ten-year period between 1986 and 1996. Specifically, a form of presumptive reasoning is described in which extensive use is made of arguments traditionally identified as informal fallacies. In the context of the adverse epistemic conditions that confronted scientists during the BSE epidemic, these arguments were anything but fallacious, serving instead to confer a number of epistemic gains upon scientific inquiry. This book argues for a closer integration of philosophy with public health science, an integration that is exemplified by the case of scientific reasoning during the BSE affair. It will therefore be of interest to advanced students, academics, researchers and professionals in the areas of public health science and epidemiology, as well as philosophical disciplines such as informal logic, argumentation and fallacy theory and epistemology.

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular situations often encountered in practice. This book aims to gather in a single reference the most commonly used extensions, such as frailty models (in case of unobserved heterogeneity or clustered data), cure models (when a fraction of the population will not experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent notation throughout the book for the different techniques presented Explains in which situation each of these models should be used, and how they are linked to specific research questions Focuses on the understanding of the models, their implementation, and their interpretation, with an appropriate level of methodological development for masters students and applied statisticians Provides references to existing R packages and SAS procedure or macros, and illustrates the use of the main ones on real datasets This book is primarily aimed at applied statisticians and graduate students of statistics and biostatistics. It can also serve as an introductory reference for methodological researchers interested in the main extensions of classical survival analysis.

Applied Problem-Solving in Healthcare Management is a practical textbook devoted to developing and strengthening problem-solving and decision-making leadership competencies of healthcare administration students and healthcare management professionals. Built upon the University of Minnesota Master of Healthcare Administration Program's Problem-Solving Method, the text describes the "never assume" mindset and the structured method that drive evidence-based, action-oriented problem-solving. The "never assume" mindset requires healthcare leaders to understand themselves and their stakeholders, and to engage in waves of divergent and convergent thinking. This structured method guides the problem solver through the phases of defining, studying, and acting on complex interrelated organizational problems that involve multiple root causes. The book also describes how the Problem-Solving Method is complementary to quality improvement methods and can be used in healthcare organizations along with Lean, Design Thinking, and Human Centered Design. Providing step-by-step instruction including useful tips, tools, activities, and case studies, this effective resource demonstrates the utility of the method for all types of health organization settings including health systems, hospitals, clinics, population health, and long-term care. For students taking health management, capstone, and experiential learning courses, including internship and residency projects, this book allows them to test and apply their problem-solving and decision-making skills to real-world situations. Beyond the classroom, it is an indispensable resource for organizations seeking to enhance the problem-solving skills of their workforce. The authors of the text have nearly 75 years of combined experience in healthcare management, leadership, and professional consulting, and teaching and advising healthcare administration students in classrooms, on student capstone, internship and residency projects, and case competitions. Synthesizing their expertise, this text serves as a guide for those who wish to strengthen their problem-solving abilities to systematically identify, analyze, study, and solve pressing organizational challenges in healthcare settings. Key Features: Describes a mindset and a structured problem-solving method that builds leadership competencies Encourages a step-by-step problem-solving approach to define, study, and act on problems to drive action-oriented solutions Supports experiential learning and coaching for students and professionals early in their careers, applicable especially to healthcare management, capstone, and student consulting courses, internship and residency projects, case competitions, and professional development in organizations Compares the Problem-Solving Method to other complementary methods used in many healthcare organizations, including Lean, Design Thinking, and Human Centered Design Includes access to the fully downloadable eBook as well as ancillary materials such as Instructor's Manual and Sample Syllabi

"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."- Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA "It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book's purview-fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection-are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject." - Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures. The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.

A truly definitive work, this magisterial study draws on the latest evidence from across Europe to show in exhaustive detail the nature of the disease, its origin, spread, mortality, and its profound impact on history. The Black Death was a disaster of huge magnitude, shaking medieval Europe and beyond to its economic and social core. Building upon his acclaimed study of 2004, Ole Benedictow here draws upon new scholarship and research to present a comprehensive, definitive account of the Black Death and its impact on European history. The medical and epidemiological characteristics of the disease, its geographical origin, its spread across Asia Minor, the Middle East, North Africa, Europe and Russia, and the mortality in the countries and regions for which there are satisfactory studies, are clearly presented and thoroughly discussed. The pattern, pace and seasonality of the spread of the disease reflect current medical work and standard studies on the epidemiology of bubonic plague. Benedictow's findings make it clear that the true mortality rate was far higher than had been previously thought: some 60% of Europe's population. In the light of those findings, the discussion of the Black Death as a turning point in history takes on a new significance.

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics. Features: Represents the first book on infectious disease from a Bayesian perspective. Employs WinBUGS and R to generate observations that follow the course of contagious maladies. Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919. Compares standard non-Bayesian and Bayesian inferences. Offers the R and WinBUGS code on at www.routledge.com/9780367633868

This major work with an internationally famous list of contributors deals with the ways in which needs assessment, service, evaluation, and public health and social policy may improve the care of elderly people in all societies. It discusses the methodology of epidemiological studies, risk factors, and the most common problems and diseases in old age.

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.

The Plague Years collects scholarly and essayistic reflections on literary, visual, and sonic representations of the COVID-19 and other pandemics. These are placed alongside poetry and short fiction written in the first two years of quarantine or isolation. This range expresses the intellectual and imaginative struggle and ingenuity entailed in coming to terms with the rampant spread of disease and its emotional, cultural, and political consequences. The contributions are from diverse contexts: Africa (from Egypt to South Africa), China, Japan, the US, and Scandinavia. They consider some of the array of contemporary engagements: poems translated from Mandarin about the traumas of the frontline, Chinese calligraphic poetry printed on cartons of PPE, comments on the literary history of representing epidemics and pandemics, political analyses of the post-truth present, and the role of life-writing and gaming in an interrupted world. Given the generative and creative obliquity of many of its parts, this collection shifts how one thinks about the diseased present and the archival pasts on which it draws. The chapters in this book were originally published as a special issue of English Studies in Africa.

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.

This third edition volume expands on the previous editions with updated chapters on longitudinal studies, randomized trials, evidence-based decisions making, and a new section on changing health-related behaviors. The chapters in this book are organized into six parts: Part One focuses on framing clinical research questions and choosing a suitable design; biases that may occur in clinical research; and the ethics associated with doing conducting research on humans. Parts Two through Four discuss designs, measurements, and analysis that pertain to evaluation of risk in longitudinal studies; assessment of therapy in controlled trials; and evaluation of diagnostic tests. Part Five presents methods used in various components of evidence-based decision-making; and Part Six highlights interventions focused on changing health-related behaviors. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of various types of bias, step-by-step, readily reproducible protocols for different research designs, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Clinical Epidemiology: Methods and Protocols, Third Edition is a valuable resource for clinicians and researchers who want to expand their works to humans and use their findings in the health system.

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.

*Includes new chapters on Fellowship Grants and Career Development Awards designed for graduate students, postdoctoral fellows, and early-career faculty *Provides strategies to highlight the "overall impact" of the grant, one of the most important aspects determining NIH funding in a new chapter on Significance and Innovation *Provides step-by-step guidelines for grant structure and style alongside broader strategies for developing a research funding portfolio *Explains how to avoid common errors and pitfalls, supplying critical dos and don'ts that aid in writing solid grant proposals *Illustrates key concepts with extensive examples from successfully funded proposals

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