Unlike other books on epidemics, which either focus on the science behind how microbes cause disease or tell first-person accounts of one particular disease, Epidemics: The Impact of Germs and Their Power over Humanity takes a holistic approach to explaining how these diseases have shaped who we are as a society. Each of the worst epidemic diseases is discussed from the perspective of how it has been a causative agent of change with respect to our history, religious traditions, social interactions, and technology. In looking at world history through the lens of epidemic diseases, readers will come to appreciate how much we owe to our oldest and smallest parasites. Adults and students interested in science and history—and especially anyone who appreciates a good story and has a healthy curiosity for the lesser-known facts of life—will find this book of interest. Health-care workers will also benefit greatly from this text, as will college students majoring in biology or a pre-health field.

Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918-1919 and 1968 in uenza pandemics.

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.

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

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/

The term health technology refers to drugs, devices, and programs that can improve and extend quality of life. As decision-makers struggle to find ways to reduce costs while improving health care delivery, health technology assessments (HTA) provide the evidence required to make better-informed decisions. This is the first book that focuses on the statistical options of HTAs, to fully capture the value of health improvements along with their associated economic consequences. After reading the book, readers will better understand why some health technologies receive regulatory or reimbursement approval while others do not, what can be done to improve the chances of approval, as well as common shortcomings of submissions for drug and device reimbursement. The book begins by contrasting the differences between regulatory approval and reimbursement approval. Next, it reviews the principles and steps for conducting an HTA, including the reasons why different agencies will have a different focus for their scope in the HTA. Supplying an accessible introduction to the various statistical options for different methods in an HTA, the book identifies the links to regulatory and reimbursement decisions for each option. It highlights many of the methodological advances that have occurred since HTA research began, to provide researchers and decision-makers with a cutting-edge framework. It also details the logical basis for the methods along with simple instructions on how to conduct the various techniques. Both authors have considerable experience in generating evidence for submissions and reviewing submissions to decision-makers for funding. One of the authors has also received a nationally recognized lifetime achievement award in this area.

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.

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2. It was first identified in December 2019 in Wuhan, Hubei, China, and has resulted in an ongoing pandemic. As of July 2020, more than 13.8 million cases have been reported across 188 countries and territories, resulting in more than 590,000 deaths. COVID 19: Tackling Global Pandemics through Scientific and Social Tools, is an amalgamation of scientific and social perspective. The book provides a selection of handpicked themes and topics relevant to COVID 19 pandemic across various disciplines delivered by experts in the domain. The Opinion section is a unique component of this book discussing important issues concerning the COVID 19. COVID 19: Tackling Global Pandemics through Scientific and Social Tools serves as single source of information ranging from clinical research to social science and even biotechnology to engineering in a single platform. But there is scarcity of a quality document that summarizes various aspects of a single event. Therefore, the purpose of this book is to provide scientific and social information on COVID 19 to all sectors of readers i.e. from students to researchers and even policy makers Divided into 13 chapters, the book begins with an in-depth introduction to the highly infectious disease COVID19. Followed by chapters on interventions, vaccine development, prevention and control COVID 19: Tackling Global Pandemics through Scientific and Social Tools also provides insights to current global situation, mathematical models and social factors like distancing and hand-washing. The book closes with a review on the use of artificial intelligence and engineered intervention. All are presented in a practical short format, making this volume a valuable resource for very broad academic audience.

This book shares the experimental findings and views in current multidisciplinary medical science combining both basic and applied research aimed at resolving problematic health issues. The key topics address contagious diseases, in particular the epidemiology, clinical presentation, and management of influenza and influenza-like infections as well as brain tuberculosis. Pulmonary medicine is represented by articles addressing a range of practical issues, including the diagnosis, symptoms, comorbidities, and treatment of obstructive sleep apnea, a syndrome whose incidence shows a persistent upward trend worldwide. Other articles address the pathogenesis of air pollution toxicity and allergy and sensory irritation in toxic exposure studies. An intriguing relation of atopic dermatitis to depression and serotoninergic system is debated. The book attempts to integrate research into clinical work and to implement findings to improve care and to decrease suffering from diseases. It is dedicated to the practicing professionals, researchers, and all engaged in health care.

Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is lagging behind in the field of pharmaceutical development. Written specifically for pharmaceutical practitioners, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems throughout pre-clinical, clinical, and Chemistry, Manufacturing, and Control (CMC) development. Authored by two seasoned statisticians in the pharmaceutical industry, the book provides detailed Bayesian solutions to a broad array of pharmaceutical problems. Features Provides a single source of information on Bayesian statistics for drug development Covers a wide spectrum of pre-clinical, clinical, and CMC topics Demonstrates proper Bayesian applications using real-life examples Includes easy-to-follow R code with Bayesian Markov Chain Monte Carlo performed in both JAGS and Stan Bayesian software platforms Offers sufficient background for each problem and detailed description of solutions suitable for practitioners with limited Bayesian knowledge Harry Yang, Ph.D., is Senior Director and Head of Statistical Sciences at AstraZeneca. He has 24 years of experience across all aspects of drug research and development and extensive global regulatory experiences. He has published 6 statistical books, 15 book chapters, and over 90 peer-reviewed papers on diverse scientific and statistical subjects, including 15 joint statistical works with Dr. Novick. He is a frequent invited speaker at national and international conferences. He also developed statistical courses and conducted training at the FDA and USP as well as Peking University. Steven Novick, Ph.D., is Director of Statistical Sciences at AstraZeneca. He has extensively contributed statistical methods to the biopharmaceutical literature. Novick is a skilled Bayesian computer programmer and is frequently invited to speak at conferences, having developed and taught courses in several areas, including drug-combination analysis and Bayesian methods in clinical areas. Novick served on IPAC-RS and has chaired several national statistical conferences.

This book introduces flood inundation area and flood risks assessment based on a comprehensive monitoring system using remote sensing and geographic information system technologies. Taking the 2011 flood disaster of Ayutthaya in Thailand as an example, it presents a flood intrusion zone identification method based on remote sensing technology, spatial information technology and geographic information system for flood disaster monitoring and early warning system. It introduces the study area and data, vegetation index, improved support vector machine and flood intrusion zone identification method. It also analyzes the flood remote sensing parameters and waterborne diseases, method of risk assessment of waterborne disease outbreak, waterborne disease outbreak risk monitoring based on backpropagation neural network and its expert system. It not only promotes a new interdisciplinary approach both in public health and space information technology, but also greatly supports decision makers in disaster reduction.

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.

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.

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.

'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.

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.

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields of epidemiology, statistics, genetics, and bioinformatics. Through multiple examples, the first part of the book introduces the reader to the concept of Mendelian randomization, showing how to perform simple Mendelian randomization investigations and interpret the results. The second part of the book addresses specific methodological issues relevant to the practice of Mendelian randomization, including robust methods, weak instruments, multivariable methods, and power calculations. The authors present the theoretical aspects of these issues in an easy-to-understand way by using non-technical language. The last part of the book examines the potential for Mendelian randomization in the future, exploring both methodological and applied developments. Features Offers first-hand, in-depth guidance on Mendelian randomization from leaders in the field Makes the diverse aspects of Mendelian randomization understandable to newcomers Illustrates technical details using data from applied analyses Discusses possible future directions for research involving Mendelian randomization Software code is provided in the relevant chapters and is also available at the supplementary website This book gives epidemiologists, statisticians, geneticists, and bioinformaticians the foundation to understand how to use genetic variants as instrumental variables in observational data. New in Second Edition: The second edition of the book has been substantially re-written to reduce the amount of technical content, and emphasize practical consequences of theoretical issues. Extensive material on the use of two-sample Mendelian randomization and publicly-available summarized data has been added. The book now includes several real-world examples that show how Mendelian randomization can be used to address questions of disease aetiology, target validation, and drug development

This fascinating book gives readers an appreciation of how biomedical research should work and how the reality is all too often seriously flawed. Explaining the logical basis of the different research approaches used by biomedical research scientists and their relative merits, it will help readers to make more realistic appraisal of media reports linking aspects of lifestyle, environment or diet to health outcomes and thus judge whether such claims are a real effect worthy of consideration for behavior change or deserving of further research resources. Key features: increases awareness of research fraud and some of the characteristics of fraudulent science and scientific fraudsters shows that whilst outright fraud may be uncommon, fudging of results to help achieve statistical significance may be more prevalent incorporates real-life case studies highlighting some of the infamous cases of research fraud and major scientific mistakes and the impact that they have had provides a convenient overview of the research process in the biomedical sciences, with a focus on research strategy rather than individual methods find supplemental detail on the author's blog https://drgeoffnutrition.wordpress.com/about/ By raising awareness of the possibility that research data may have been dishonestly generated and outlining some of the signs and symptoms that might suggest data fabrication, Error and Fraud: The Dark Side of Biomedical Research will help students and researchers to identify the strengths and limitations of different research approaches and allow them to make a realistic evaluations of their own and others' research findings.

"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.

The health and economic devastation caused by COVID-19 has revealed that most countries’ national health systems are inadequate to cope with pandemics. These are global challenges that call for global responses. At the heart of this book is a bold new proposal to create a global pandemic playbook that can be quickly deployed when the next pandemic strikes. Countries and their experts must collaborate to create early warning systems, preparedness, prevention, responses and containment. But who should pay the cost? Anne Kabagambe, a former Executive Board director for the World Bank Group, explores the options, and argues that to fail to learn from COVID-19 and neglect to create a global playbook now would cost far more when the next pandemic strikes.

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

This volume is being published at a critical time in U.S. history and serves as a comprehensive and much-needed update to what is known about Latinx health. As both the United States and Latinx subgroups experience demographic shifts, it is critical to examine the current epidemiology of Latinx health, as well as the factors influencing the health and well-being of this growing population. Chapters in this book, written by highly respected experts, illuminate the diversity of the Latinx population and provide strategies to mitigate many of the challenges they face, including challenges related to migrating to new destinations. The book is designed to enrich dialogue around the multilevel determinants of Latinx health and concludes with a call to action for increased culturally congruent, theoretically informed and participatory Latinx health research. The book also encourages the mentorship and growth of early career and junior investigators to conduct research on Latinx health issues.A selection of the perspectives included among the chapters: Chronic disease and mental health issues in Latinx populations Substance use among Latinx adolescents in the United States Physical and intellectual and developmental disabilities in Latinx populations Health insurance reform and the Latinx population Immigration enforcement policies and Latinx health Research priorities for Latinx sexual and gender minorities Racial and ethnic discrimination, intersectionality, acculturation, and Latinx health New and Emerging Issues in Latinx Health is an invaluable compendium that provides a foundation of understanding Latinx health and well-being and guides future research and practice. The book is essential for researchers, practitioners, and students in the fields of public health and the social sciences including community and health psychology, health administration and policy, community health education, medical anthropology, medical sociology, population health, and preventive medicine. Moreover, the chapters in this volume are also relevant for federal, state, and local agencies, including health departments, and other Latinx- and immigrant-serving community organizations.

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.

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.