This book brings together reports of original empirical studies which explore the impacts of the COVID-19 pandemic on urban mobility and transportation and the associated policy responses. Focusing on the California region, the book draws on this local experience to formulate general lessons for other regions and metropolitan areas. The book examines how the COVID-19 pandemic has had different impacts on vulnerable populations in cities. It explores the pandemic's impacts on the transportation industry, in particular public transit, but also on other industries and economic interests that rely on transportation, such as freight trucking, retail and food industries, and the gig-economy. It investigates the effect of the viral outbreak on automobile traffic and associated air quality and traffic safety, as well as on alternative forms of work, shopping, and travel which have developed to accommodate the conditions it has forced on society. With quantitative data supported with illustrations and graphs, transportation professionals, policymakers and students can use this book to learn about policies and strategies that may instigate positive change in urban transport in the post-pandemic period.

APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests, analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.

This book focuses on neglected skin diseases and conditions in resource-poor countries through the lens of livelihoods. These diseases, when neglected, not only affect the skin, but also joint movement and physical appearance, severely influencing the lives and livelihoods of individuals and families in vulnerable communities. The book explores why neglected skin diseases thrive in resource-poor countries, and considers how this cycle might be broken by looking at the impact on livelihoods and access to healthcare in affected communities. The research is shaped by three guiding questions: Firstly, why have some measures been successful in one part of a population and not the other? Secondly, what is unique about vulnerable populations in various parts of the world? And thirdly, can the cycle of debilitating skin diseases and conditions in resource-poor countries be broken? In addressing these concerns, the book excavates past and present efforts in public health measures to combat these diseases, considers the impact of culture and livelihoods, and reviews some of the milestones in disease elimination and eradication. This book will be an indispensable source for health service planners, administrators and practitioners working with vulnerable populations, as well as graduate students and researchers in public health.

A valuable new edition of the trusted, practical guide to managing data in clinical trials

Regardless of size, type, or complexity, accurate results for any clinical trial are ultimately determined by the quality of the collected data. Management of Data in Clinical Trials, Second Edition explores data management and trial organization as the keys to developing an accurate and reliable clinical trial. With a focus on the traditional aspects of data collection as well as recent advances in technology, this new edition provides a complete and accessible guide to the management structure of a clinical trial, from planning and development to design and analysis. Practical approaches that result in the collection of complete and timely data are also provided.

While maintaining a comprehensive overview of the knowledge and tools that are essential for the organization of a modern clinical trial, the author has expanded the topical coverage in the Second Edition to reflect the possible uses of recent advances in technology in the data collection process. In addition, the Second Edition discusses the impact of international regulations governing the conduct of clinical trials and provides guidelines on ensuring compliance with national requirements.

Newly featured topics include:

The growing availability of "off-the-shelf" solutions for clinical trials

Potential models for collaboration in the conduct of clinical trials between academia and the pharmaceutical industry

The increasing use of the Internet in the collection of data and management of trials

Regulatory requirements worldwide and compliance with the ICH Good Clinical Practice (GCP) Guidelines

Development ofStandard Operating Procedures for the conduct of clinical trials

Complete with chapter summaries that reinforce key points as well as over one hundred examples, Management of Data in Clinical Trials, Second Edition is an ideal resource for practitioners in the clinical research community who are involved in the development of clinical trials, including data managers, research associates, data coordinators, physicians, and statisticians. This book also serves as an excellent supplemental text for courses in clinical trials at both the undergraduate and graduate levels.

Despite children making up around a quarter of the population, the first edition of this book was the first to focus on a public health approach to the health and sickness of children and young people. It combined clinical and academic perspectives to explore the current state of health of our children, the historical roots of the speciality and the relationship between early infant and child health on later adult health. Child public health is a rapidly developing field, and is increasingly recognised throughout the world as a major area of focus for population health. Targeting the health of children now is essential if we are to achieve a healthy population as adults. For the second edition the text has been revised and updated with new material on health for all children, global warming, child participation, systems theory, refugees, commissioning, and sustainable development.
Child Public Health 2e will be of interest to public health practitioners, paediatricians, general practitioners with a child health and commissioning interest and GP trainees. Whilst pediatricians are given a unique population perspective on their clinical specialty, public health professionals will gain a specialist insight into a specific population group and primary care doctors, nurses and managers will find support for their commissioning and clinical governance agendas.

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

Measures that are reliable, valid and can be used across diverse populations are vital to social work research, but the development of new measures is an expensive and time-consuming process. An array of existing measures can provide a cost-effective alternative, but in order to take this expedient step with confidence, researchers must ensure that the existing measure is appropriate for the new study. Confirmatory factory analysis (CFA) is one way to do so, and in this clearly written pocket guide Donna Harrington provides social work researchers with an essential roadmap to the highlights of CFA's powers and how to harness them.
CFA has four primary functions-- psychometric evaluation of measures, construct validation, testing method effects, and testing measurement invariance-- all of which Harrington makes exceedingly accessible. She includes an easy-to-follow overview of the method, step-by-step guides to creating a CFA model and assessing its fit, and clear explanations of the requirements for using CFA, as well as underscoring the issues that are necessary to consider in alternative situations, such as when multiple groups are involved. Real-world examples, screenshots from the Amos software program that can be used to conduct CFA, and reading suggestions for each chapter make the material accessible for even the greenest novice.
This pocket guide is ideally suited for readers who plan to conduct CFA analyses and need a brief, non-technical introduction to the topic to get them started before getting into the more detailed and technical literature, as well as readers who do not plan to conduct CFA analyses, but want to be knowledgeable consumers of research literature that uses CFA.

This timely edited collection presents a holistic and biopsychosocial analysis of LGBTQ People of Color well-being, focused on heart, brain, and mental health, and employs a unique incorporation of minority stress, intersectionality, and allostatic load frameworks. Bringing together established and emerging academics, its authors present a critical analysis of the latest research that encompasses the study of both risk and resilience factors in LGBTQ People of Color health. Across the book, they highlight the precise nature of the behavioral health disparities experienced by these communities, but further, they reveal the unique roles of intersectional discrimination and structural stigma as mechanisms for these disparities. With chapters also dedicated to federal policies and public health, this multidisciplinary work marks a seminal contribution that will pave the way for further advances in research, theory, and practice. It offers a valuable resource on an understudied population that will appeal to researchers, practitioners and policy makers in the fields of health psychology, public health, epidemiology, sociology, health sciences and medicine.

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

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

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.

It is impossible to reflect on 2020 without discussing Covid-19. The term, literally meaning corona-(CO) virus (VI) disease (D) of 2019, has become synonymous with "the virus", "corona" and "the pandemic". The impact of the virus on our lives is unprecedented in modern human history, in terms of scale, depth and resilience. When compared to other epidemics that have plagued the world in recent decades, Covid-19 is often referred to as being much more "deadly" and is associated with advances in technology which scientists have described as "revolutionary". From politics to economics, spanning families and continents, Covid-19 has unsettled norms: cultural clashes are intensified, politics are even more polarized, and regional tensions and conflicts are on the rise. Global trade patterns and supply chains are increasingly being questioned and redrawn. The world is being atomized, and individuals are forced to accept the "new normal" in their routines. In an attempt to combat the virus and minimize its detrimental effects, countries have undertaken different preventive strategies and containment policies. Some have successfully curbed the spread of Covid-19, while many others remain in limbo, doing their best to respond to outbreaks in cases. To gain a better understanding of how to fight Covid-19, it is imperative to evaluate the success and failures of these approaches. Under what conditions is an approach successful? When should it be avoided? How can this information be used to avoid future pandemics? This volume offers informative comparative case studies that shed light on these key questions. Each country case is perceptively analyzed and includes a detailed timeline, allowing readers to view each response with hindsight and extrapolate the data to better understand what the future holds. Taken as a whole, this collection offers invaluable insight at this critical juncture in the Covid-19 pandemic.

Epidemiology of Thyroid Disorders provides comprehensive, clinical knowledge to professionals dealing with thyroid disorders. The book focuses on the pathophysiology of thyroid disorders, the prevalence and incidence of various diseases, and their prevention. This focused analysis on thyroid disorders raises awareness of this global problem that, once diagnosed or misdiagnosed, can sometimes lead to over-treatment and cardiovascular complications, especially in the elderly. This succinct, targeted reference gives the reader excellent information on the epidemiology of global thyroid disorders, as well as up-to-date treatment data and a special focus on prevention.

This book provides an up-to-date review of fasciolosis, a disease caused by Fasciola hepatica and Fasciola gigantica, including its biology, transmission, epidemiology, host distribution, economic impact, and novel approaches for its diagnosis, treatment and prevention. It first offers a brief overview of the history of the disease, the genetic diversity of the parasite and its distribution, and the ecology of the vector snail, which belongs to the Lymnaeidae/Planorbidae family. It also examines the current strategies and novel approaches for controlling the parasite, diagnosing infections and vaccine development. Importantly, it highlights issues relating to the control of fasciolosis, including drug resistance, lack of effective diagnostics, and the parasite's long-term survival strategies based on regulation and modulation of the host immune system. Lastly, it discusses the novel control snail vectors using bait formulations, and synergetic and phototherapy treatment with chlorophyllin, which does not kill the vector.

Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through the use of SAS programs. Little previous statistical knowledge is assumed. The first part of the book stresses the importance of models in the analysis of data and introduces least squares fitting and simple optimum experimental designs. The second part presents a more detailed discussion of the general theory and of a wide variety of experiments. The book stresses the use of SAS to provide hands-on solutions for the construction of designs in both standard and non-standard situations. The mathematical theory of the designs is developed in parallel with their construction in SAS, so providing motivation for the development of the subject. Many chapters cover self-contained topics drawn from science, engineering and pharmaceutical investigations, such as response surface designs, blocking of experiments, designs for mixture experiments and for nonlinear and generalized linear models. Understanding is aided by the provision of "SAS tasks" after most chapters as well as by more traditional exercises and a fully supported website. The authors are leading experts in key fields and this book is ideal for statisticians and scientists in academia, research and the process and pharmaceutical industries.

This book examines the HIV/AIDS epidemic in the United States using the concept of syndemics to contextualize the risk of both well-known, and a few lesser-known, subpopulations that experience disproportionately high rates of HIV and/or AIDS within the United States. Since discovery, HIV/AIDS has exposed a number of social, psychological, and biological aspects of disease transmission. The concept of "syndemics," or "synergistically interacting epidemics" has emerged as a powerful framework for understanding both the epidemiological patterns and the myriad of problems associated with HIV/AIDS around the world and within the United States. The book considers the disparities in HIV/AIDS in relation to social aspects, risk behavior and critical illness comorbidities. It updates and enhances our understanding of the HIV/AIDS epidemic in the United States and contributes to the expanding literature on the role of syndemics in shaping the public's health.

Cancer is diagnosed in about 140 per million children in Britain each year. There is a 1 in 500 chance that a child will be affected in the first 15 years of life, the most frequently occurring types of cancer being leukaemia and brain tumours. This book covers the descriptive epidemiology of childhood cancer in Britain, based on the unique work of the National Registry of Childhood Tumours, the largest population-based specialist childhood cancer registry in the world. The book provides a detailed account of national incidence and survival rates for childhood cancer in Britain during 1991-2000, and trends during 1966-2000. There is also an account of childhood mortality for the period 1965-2004. The diagnoses are classified throughout according to the International Classification of Childhood Cancer, the first time the third edition of this standard classification has been used for prevalence of incidence, survival and mortality data. The chapter on incidence rates is relevant to planning of health service provision and design of research studies on aetiology, whilst the chapter on trends in incidence is relevant to the possible effects of changes in environmental and other risk factors. In addition to comprehensive tables of rates, age-incidence graphs are provided for all the major types of childhood cancer, and possible artefacts are also discussed. The survival data demonstrates how clinical progress over the past 40 years has led to a major increase in the number of cancer survivors. The role of the Registry, covering history, methodology, current and future uses, is also discussed. This definitive work is the culmination of decades of epidemiological research and is essential reading for anyone involved in paediatric oncology or cancer epidemiology.

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

The ageing of our population is a key societal issue across the globe. Although people are living longer, they need to be living longer in good health to continue to enjoy quality of life and independence and to prevent rises in health and social care costs. This timely and ground-breaking volume will provide an up-to-date overview of the factors that promote physical activity in later life. Despite advances in the fields of gerontology and geriatrics, sports and exercise science, sociology, health psychology, and public health, knowledge is largely contained within disciplines as reflected in the current provision of academic texts on this subject. To truly address the present and substantial societal challenges of population ageing, a multidisciplinary and collaborative approach is required. This handbook will inform researchers, students, and practitioners on the current evidence base for what physical activities need to be promoted among older people and how they can be implemented to maximise engagement. This handbook will be an invaluable resource for researchers, practitioners, policy makers, and students across the social sciences.

Of the 758 species of hard ticks (family Ixodidae) currently known to science, 137 (18%) are found in the Neotropical Zoogeographic Region, an area that extends from the eastern and western flanks of the Mexican Plateau southward to southern Argentina and Chile and that also includes the Greater and Lesser Antilles and the Galapagos Islands. This vast and biotically rich region has long attracted natural scientists, with the result that the literature on Neotropical ticks, which are second only to mosquitoes as vectors of human disease and are of paramount veterinary importance, is enormous, diffuse, and often inaccessible to non-specialists. In this book, three leading authorities on the Ixodidae have combined their talents to produce a summary of essential information for every Neotropical tick species. Under each species name, readers will find an account of the original taxonomic description and subsequent redescriptions, followed by an overview of its geographic distribution and host relationships, including a discussion of human parasitism. Additional sections provide detailed analyses of tick distribution by country and zoogeographic subregion (the Caribbean, southern Mexico and Central America, South America, and the Galapagos Islands), together with a review of the phenomenon of invasive tick species and examination of the many valid and invalid names that have appeared in the Neotropical tick literature. The text concludes with an unprecedented tabulation of all known hosts of Neotropical Ixodidae, including the tick life history stages collected from each host. This book is an invaluable reference for biologists and biomedical personnel seeking to familiarize themselves with the Neotropical tick fauna.

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.

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals. Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control.

Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author's 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work.

Reproducibility in Biomedical Research: Epistemological and Statistical Problems explores the ideas and conundrums inherent in scientific research. It explores factors of reproducibility, including logic, distinguishing productive from unproductive irreproducibility, the scientific method, and the use of statistics. In multiple examples and six detailed case studies, the book demonstrates the misuse of logic resulting in unproductive irreproducibility, allowing researchers to develop their own logic and planning abilities. Biomedical researchers, clinicians, administrators of scientific institutions and funding agencies, journal editors, philosophers of science and medicine will find the arguments and explorations a valuable addition to their libraries.

This book provides a comprehensive review of the major barriers to HIV cure and vaccine. It covers the fundamental virology and immunology leading to HIV transmission, protection from infection and long term HIV persistence on antiretroviral therapy. In addition, strategies being tested to eliminate persistent HIV and the rational design of vaccines to induce protective immunity are covered. This book also discusses the challenges related to the design of clinical trials for testing the safety and efficacy of these innovative approaches. This book will provide a systematic overview and also discuss controversial issues for researchers in virology and immunology, as well as practicing physicians, and scientists in the pharmaceutical industry.