COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book's 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.

*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

*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

*A focus on normal theory linking average power, expected power, predictive power, assurance, conditional Bayesian power and Bayesian power. *Extensions of the concepts to binomial, and time-to-event outcomes and non-inferiority trials *An investigation into the upper bound on average power, assurance and Bayesian power based on the prior probability of a positive treatment effect *Application of assurance to a series of trials in a development program and an introduction of the assurance of an individual trial conditional on the positive outcome of an earlier trial in the program, or to the successful outcome of an interim analysis *Prior distribution of power and sample size *Extension of the basic approach to proof-of-concept trials with dual success criteria *Investigation of the connection between conditional and predictive power at an interim analysis and power and assurance *Introduction of the idea of surety in sample sizing of clinical trials based on the width of the confidence intervals for the treatment effect, and an unconditional version.

The COVID-19 pandemic has disproportionately affected communities of color while highlighting the prevalence of structural racism in the United States. This crucial collection of essays, written by leading scholars from the fields of communications, political science, health, philosophy, and geography, explores the manifold ways in which the COVID-19 pandemic has impacted upon Black, Latinx, and Indigenous communities and the way we see race relations in the United States. The COVID-19 pandemic has exposed the significance of U.S. health inequalities, which the World Health Organization defines as "avoidable [and] unfair." It has also highlighted structural racism, specifically, institutions, practices, values, customs, and policies that differentially allocate resources and opportunities so as to increase inequity among racial groups. Navarro and Hernandez therefore argue that the COVID-19 pandemic has unleashed a race war in America that has further marginalized communities of color by limiting access to resources by different racial and ethnic minorities, particularly women within these communities. Moreover, the systemic policies of the past that upheld or failed to address the unequal social conditions affecting Blacks, Latinxs, and other minorities have now been magnified with COVID-19. The volume concludes by offering recommendations to prevent future humanitarian crises from exacerbating racial divisions and having a disproportionate impact upon ethnic minorities. This timely volume will be of great interest to those interested in the study of race and the social impacts of the COVID-19 pandemic in the United States.

The COVID-19 pandemic has disproportionately affected communities of color while highlighting the prevalence of structural racism in the United States. This crucial collection of essays, written by leading scholars from the fields of communications, political science, health, philosophy, and geography, explores the manifold ways in which the COVID-19 pandemic has impacted upon Black, Latinx, and Indigenous communities and the way we see race relations in the United States. The COVID-19 pandemic has exposed the significance of U.S. health inequalities, which the World Health Organization defines as "avoidable [and] unfair." It has also highlighted structural racism, specifically, institutions, practices, values, customs, and policies that differentially allocate resources and opportunities so as to increase inequity among racial groups. Navarro and Hernandez therefore argue that the COVID-19 pandemic has unleashed a race war in America that has further marginalized communities of color by limiting access to resources by different racial and ethnic minorities, particularly women within these communities. Moreover, the systemic policies of the past that upheld or failed to address the unequal social conditions affecting Blacks, Latinxs, and other minorities have now been magnified with COVID-19. The volume concludes by offering recommendations to prevent future humanitarian crises from exacerbating racial divisions and having a disproportionate impact upon ethnic minorities. This timely volume will be of great interest to those interested in the study of race and the social impacts of the COVID-19 pandemic in the United States.

Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author's many years of experience working in a cancer clinical trials unit. Features: A broad and accessible overview of statistical methods in cancer research Necessary background in cancer biology and genetics Details of statistical methodology with minimal algebra Many examples using real data from cancer clinical trials Appendix giving statistics revision.

Weaving together political, sociological, psychological, and epidemiological analyses, Social and Political Representations of the COVID-19 Crisis provides revealing insights into the transformations wrought by the pandemic and the social divisions it has exposed. Accounting for the realities of the pandemic across the globe, with a strong focus on experiences in the Global South, this book challenges readers to question their beliefs about the societies they live in and how these societies should respond to collective catastrophes. Originally published in Spanish, this English edition is thoroughly revised and updated. Social and Political Representations of the COVID-19 Crisis analyzes the varied strategies attempted in different parts of the world to deal with the pandemic, including elimination, mitigation, flattening the curve, and herd immunity, and the ramifications of these approaches. It argues that the different strategies are guided by social representations that can be analyzed on epistemological, emotional, and ethical-moral levels. Drawing upon a wide range of thinkers, the book also investigates the key role of psychological defense mechanisms, including different ways of denying the seriousness of the pandemic and different paranoid responses to pain and frustration, such as scapegoating and conspiracy theories. This timely book analyzes the transformations in the social fabric brought about by the pandemic and the questions it poses for the future of our societies. It will therefore be of great interest to students and researchers in the humanities, social sciences, and public health, as well as the general reader.

The National Centre for Infectious Diseases (NCID) is the result of many years in the planning, and it finally officially opened its doors in September 2019, just months before the entire world was tested by the COVID-19 pandemic. This book is the work of many people who represent an even larger pool of people from NCID, Singapore and the rest of the world in trying to understand and contain the SARS- CoV-2 virus. There are chapters on science, the public health response both locally and globally, as well as personal reflections from NCID and Tan Tock Seng Hospital staff and staff from other public healthcare institutions who were deployed to NCID which bring home the human impact of the pandemic. We are very grateful to all the authors for taking the time to put together their thoughtful chapters as well as the senior academics and public health leaders who have provided us with generous comments on the manuscript. We hope that the readers of the book will gain a better insight into the response to the virus from so many different perspectives. Although the pandemic has evolved far beyond the pages of this book globally, the lessons learned from the early days are still relevant. We hope that the chapters will be helpful as we review our experience of this pandemic and face the next emerging infectious disease in the years to come.This book provides a comprehensive look at many different aspects of response in Singapore to the pandemic in the crucial first several months, including clinical, laboratory, epidemiology, research, community engagement and the unprecedented challenge of outbreak involving migrant workers in dormitory settings. On a personal note, it has first-hand accounts of staff at the NCID who were at the forefront of battling COVID-19 in Singapore. It also gives a global perspective of the pandemic, together with insights into the unique Singapore experience of managing the pandemic. The Singapore response to the pandemic has been something which the global community has been very interested in and this book is the first to comprehensively describe that response from a number of different angles which will be useful to scientists, clinicians, public health professionals and policy makers.

Insect-transmitted rickettsiales diseases are significant sources of morbidity and mortality all over the world. Their incidence has been increasing in recent years in large part due to climate change and the movement of animals carrying the insect vectors. Currently there are no effective vaccines against diseases caused by members of the order Rickettsiales. Rickettsiales diseases are often misdiagnosed; this book is intended to serve as a tool for their understanding and diagnosis. Rickettsiales covers the seven main genera: Anaplasma, Ehrlichia, Midichloria, Neorickettsia, Orientia, Rickettsia and Wolbachia. Discussion of each genus includes immunology and molecular biology of host-pathogen interactions, epidemiology and diagnosis, and vaccination strategies and therapies.

Health Impact Assessment is a policy-support instrument and approach that seeks to assess the health impacts of projects, programmes and policies on population health. The ultimate goal of HIA is to systematically predict health impacts and subsequently inform the intersectoral decision- and policy-making processes of these impacts. Integrating Health Impact Assessment with the Policy Process examines how the process of integrating HIA with policy can take place. Introductory chapters outline the HIA process and provide a conceptual foundation for the book. Then, drawing from experiences of HIA practice and research globally, country specific experiences are presented to examine HIA's relationship with the policy process. Throughout the book checklists and learning points are provided to assist the readers' understanding of the concepts and examples discussed. This practical and conceptually-grounded guide represents a convergence of theory and practice from the disciplines of public health, environmental health and the social sciences, and will appeal to practitioners and professionals in these fields, as well as policy-makers, decision-makers, planners at regional and national government levels as well as academics, educators and students.

Comparing and Contrasting the Impact of the COVID-19 Pandemic in the European Union challenges the use of uncontextualised comparisons of COVID-19 cases and deaths in member states during the period when Europe was the epicentre of the pandemic. This timely study looks behind the headlines and the statistics to demonstrate the value for knowledge exchange and policy learning of comparisons that are founded on an in-depth understanding of key socio-demographic and public health indicators within their policy settings. The book adopts innovative, integrated, multi-disciplinary international perspectives to track and assess a fast-moving topical subject in an accessible format. It offers a template for analysing policy responses to the COVID-19 pandemic and for using evidence-based comparisons to inform and support policy development.

Ophthalmic Epidemiology: Current Concepts to Digital Strategies provides a comprehensive guide to graduate students, ophthalmologists, and researchers in ophthalmic epidemiology. It covers recently developed new methodologies, technologies and resources in ocular epidemiological research, such as telemedicine, disease registries, EMR, bio-banks and omics. This book also summarizes recent epidemiological findings and provides up-to-date data on ocular diseases. Furthermore, it introduces and discusses the uses of epidemiology in the evaluation of health services and population screening programs and reviews the application of epidemiology in intervention trials in the communities. Key Features Comprehensive guide to the epidemiology of common eye diseases. Provides updates on the prevalence and risk factors of eye diseases. Outlines how epidemiological techniques can be utilized to evaluate ophthalmic health services and programs.

Advanced Statistics in Regulatory Critical Clinical Initiatives is focused on the critical clinical initiatives introduced by the 21st Century Cure Act passed by the United States Congress in December 2016. The book covers everything from the outline of the initiatives to analysis on the effect on biopharmaceutical research and development. Advanced Statistics in Regulatory Critical Clinical Initiatives provides innovative ways to resolve common challenges in statistical research of rare diseases such small sample sizes and provides guidance for combined use of data. With analysis from regulatory and scientific perspectives this book is an ideal companion for researchers in biostatistics, pharmaceutical development, and policy makers in related fields. Key Features: Provides better understanding of innovative design and analysis of each critical clinical initiatives which may be used in regulatory review/approval of drug development. Makes recommendations to evaluate submissions accurately and reliably. Proposes innovative study designs and statistical methods for oncology and/or rare disease drug development. Provides insight regarding current regulatory guidance on drug development such as gene therapy and rare diseases.

Cover simple modelling approaches as well as full Monte Carlo simulation of x-ray tubes Bremsstrahlung and characteristic contributions to the spectrum are discussed in detail Learning is supported by free open-source software and an online repository of code.

This book looks at the institutional and governance issues faced by India during the first and second wave of the COVID-19 pandemic and its adverse impact on the vulnerable sectors and groups. The book is split into four parts, with preceding chapters informing later ones. Part One outlines the approach of the study, in particular their examination of policy responses and the effect of the pandemic. Part Two delves into the governance challenges in containing the pandemic while giving the theoretical rationale for institutional responses. Part Three looks at how the pandemic affected economically vulnerable households, workers, and small industries. The effect of pandemic on the informal sector is also detailed. Lastly, Part Four examines the impacts and responses of Indian public infrastructure and services to the pandemic, in particular the impact of the COVID-19 pandemic on health care and schooling. It also explores the challenges caused by infrastructure inadequacies in Indian cities. The book closes by looking at how businesses in the private sector have responded to the COVID-19 pandemic, with a focus on Corporate Social Responsibility. The book will be a useful reference to researchers, policymakers, and practitioners who are interested in institutions and development, especially in the context of India.

This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology, Nonparametric and Semiparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, as were the articles representing each area. The commentaries not only review Ray's work, but are also filled with history and anecdotes. Raymond J. Carroll's impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the "safe" route of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.

Contemporary research on genetic control of disease-transmitting insects knows two kinds of scientists: those that work in the laboratory and those known as a ~field peoplea (TM). Over the last decade, both groups seem to have developed differing research priorities, addressed fundamentally different aspects within the overall discipline of infectious-disease control, and worse, have developed a scientific a ~languagea (TM) that is no longer understood by the a ~othera (TM) party. This gap widens every day, between the North and the South, between ecologists and molecular biologists, geneticists and behaviourists, etc. The need to develop a common research agenda that bridges this gap has been identified as a top priority by all parties involved. Only then shall the goal of developing appropriate genetic-control strategies for vectors of disease become reality.

This book is the reflection of a workshop, held in Nairobi (Kenya) in July 2004, that addressed the above issues. It brought together a good representation of both the molecular and ecological research disciplines and, for the first time, included a significant number of researchers from disease-endemic countries. The research agenda presented here will serve the research and science-policy communities alike, and guide sponsoring organizations with the selection of priority areas for research funding.

Climatic change plays an integral part in planetary health and is amongst the most important global environmental aspect that has an impact on human health. The linkage between the environmental change and disease dynamics has been highlighted in recent times and hence, emphasis on environmental sustainability to reduce future epidemics. Present book focusses on the relationship between climatic change and epidemiological factors with an approach to reduce the global hotspots. The climatic changes relevant to periods of activity and variations in geographical distribution is addressed including interconnection of sustainability, population growth and environmental change. Features: Covers environmental management and waste to resource for future. Includes guidelines for analysis, assessment, and interventions for waste management. Discusses environmental impediments in the way of healthcare inclusions. Impresses upon the importance of clinical epidemiology to detect, treat, control, and prevent the spread of non-communicable diseases globally. Provides insights for the future health hazards that can be administered at the insignificant stage. This book aims at Graduate Students, Researchers, Professionals and Health Care Professionals in environmental engineering, waste management, climate change, and healthcare.

This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Towards a Digital Health Ecology : NHS Digital Adoption through the COVID-19 Looking Glass is about technology adoption in the UK's National Health Service (NHS) as told from the inflection point of a disaster. In 2020 the world lived through a disaster of epic proportions, devastating humanity around the globe. It took a microscopic virus to wreak havoc on our healthcare system and force the adoption of technology in a way that had never been seen before. This book tells the story of digital technology take-up in the NHS through the lens of that disaster. This book documents use of technology in the NHS through the lens of the first pandemic shock. Our healthcare system, paid for by general taxation and free at the point of demand, was conceived and developed in a firmly analogue world. Created in 1948, the NHS predates the invention of the World Wide Web by some forty years. This is not a book simply about technology, it is a study of the painful process of reengineering a mammoth and byzantine system that was built for a different era. The digital health sector is a microcosm of the wider healthcare system, through which grand themes of social inequality, public trust, private versus commercial interests, values and beliefs are played out. The sector is a clash of competing discourses: the civic and doing good for society; the market and wealth creation; the industrial creating more efficient and effective systems; the project expressed as innovation and experimentation; lastly the notion of vitality and leading a happier, healthy life. Each of these discourses exists in a state of flux and tension with the other. This book is offered as a critique of the role of digital technologies within healthcare. It is an examination of competing interests, approaches, and ideologies. It is a story of system complexity told through analysis and personal stories.

Towards a Digital Health Ecology : NHS Digital Adoption through the COVID-19 Looking Glass is about technology adoption in the UK's National Health Service (NHS) as told from the inflection point of a disaster. In 2020 the world lived through a disaster of epic proportions, devastating humanity around the globe. It took a microscopic virus to wreak havoc on our healthcare system and force the adoption of technology in a way that had never been seen before. This book tells the story of digital technology take-up in the NHS through the lens of that disaster. This book documents use of technology in the NHS through the lens of the first pandemic shock. Our healthcare system, paid for by general taxation and free at the point of demand, was conceived and developed in a firmly analogue world. Created in 1948, the NHS predates the invention of the World Wide Web by some forty years. This is not a book simply about technology, it is a study of the painful process of reengineering a mammoth and byzantine system that was built for a different era. The digital health sector is a microcosm of the wider healthcare system, through which grand themes of social inequality, public trust, private versus commercial interests, values and beliefs are played out. The sector is a clash of competing discourses: the civic and doing good for society; the market and wealth creation; the industrial creating more efficient and effective systems; the project expressed as innovation and experimentation; lastly the notion of vitality and leading a happier, healthy life. Each of these discourses exists in a state of flux and tension with the other. This book is offered as a critique of the role of digital technologies within healthcare. It is an examination of competing interests, approaches, and ideologies. It is a story of system complexity told through analysis and personal stories.

Provides an excellent grounding in the basics of both statistics and epidemiology. Full step-by-step guidance on performing statistical calculations. Numerous examples and exercises with detailed answers to help readers navigate these complex subjects with ease and confidence. Enables students and practitioners to make sense of the many research studies that underpin evidence-based practice. Fully revised and updated for this fifth edition, now with additional exercises and question and answers online for self-testing.

This book provides a comprehensive overview of the concept of "Total Exposure Health" and presents details on subject areas which make up the framework. It provides in-depth coverage of the science and technology supporting exposure and risk assessment. This includes advances in toxicology and the "-omics" as well as new techniques for exposure assessment. The book concludes with a discussion on bioethics implications, including ethical considerations related to genetic testing. Discusses advances in exposure monitoring Presents a systems biology approach to human exposures Examines how overall well-being translates to worker productivity Considers the link between work-related risk factors and health conditions Covers the study of genomics in precision medicine and exposure science Explores bioethics in genomic studies Aimed at the exposure professionals (industrial hygienists, toxicologists, public health, environmental engineers), geneticists, molecular biologists, engineers and managers in the health and safety industry as well as professionals in the public administration field.

Global simultaneous development is becoming more necessary as the cost of developing medical products continues to grow. The strategy of using multiregional clinical trials (MRCTs) has become the preferred method for developing new medicines. Implementing the same protocol to include subjects from many geographical regions around the world, MRCTs can speed up the patient enrolment, thus resulting in quicker drug development and obtaining faster approval of the drug globally. After the publication of the editors' first volume on this topic, there have been new developments on MRCTs. The International Council for Harmonisation (ICH) issued ICH E17, a guideline document on MRCTs, in November 2017, laying out principles on MRCTs. Beyond E17, new methodologies have been developed as well. Simultaneous Global New Drug Development: Multi-Regional Clinical Trials after ICH E17 collects chapters providing interpretations of principles in ICH E17 and new ideas of implementing MRCTs. Authors are from different regions, and from academia and industry. In addition, in contrast to the first book, new perspectives are brought to MRCT from regulatory agencies. This book will be of particular interest to biostatisticians working in late stage clinical development of medical products. It will also be especially helpful for statisticians in regulatory agencies, and medical research institutes. This book is comprehensive across the MRCT topic spectrum, including Issues regarding ICH E17 Implementation MRCT Design and Analysis Methodologies Perspectives from authorities in regulatory agencies, as well as statisticians practicing in the medical product industry Many examples of real-life applications based on actual MRCTs.