Although classical electromagnetic (EM) field theory is typically embedded in vector calculus and differential equations, many of the basic concepts and characteristics can be understood with precursory mathematical knowledge. Completely revised and updated, Basic Introduction to Bioelectromagnetics, Second Edition facilitates the process of interdisciplinary research by introducing life scientists to the basic concepts of EM fields.

This new edition outlines elements of EM that are helpful to life scientists working with physicists and electrical engineers. Each concept is presented with an associated application and discussion. Example applications include hyperthermia, neural stimulation, MRI, NMR, ultrasound, and cardiac pacing/defibrillation. With the liberal use of diagrams and graphs, this qualitative and illustrative point of access:

Covers the entire frequency spectrum from direct current (DC) up through optical frequencies

Includes more than 200 illustrations with 40 medical applications

Incorporates examples from real applications to explain concepts

Concentrates on the qualitative explanation of the key concepts, fundamental principles, and characteristic behaviors of EM fields, without mathematical rigor

Offers practical rules of thumb to understand real situations

Requires only an algebra background, in contrast to typical EM books that require vector calculus and partial differential equations

Offering a simplified view of a very complex subject, this second edition provides an accessible introduction for life scientists and medical technologists on how EM fields work, what controls them, and the factors important to experimental setups.

Table of Contents

Electric and Magnetic Fields: Basic Concepts. EM Behavior When the Wavelength Is Large Compared to the Object Size. EM Behavior When the Wavelength Is About the Same Size as the Object. EM Behavior When the Wavelength Is Much Smaller Than the Object. Bioelectromagnetic Dosimetry. Electromagnetics in Medicine: Today and Tomorrow. Appendices. Index.

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

This book is designed to be a practical study in infectious disease dynamics. It offers an easy-to-follow implementation and analysis of mathematical epidemiology. It focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in consumer-resource metapopulations. Some infections are prevalent among the young, some among the old and some are age-invariant. Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing. Models and 'models-with-data' have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control. Using mathematical models to understand infectious disease, dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of Epidemics: Models and Data Using R have been organized as follows: chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics; chapters 11-13 pertains to spatial and spatiotemporal dynamics; chapter 14 highlights similarities between the dynamics of infectious disease and parasitoid-host dynamics; Finally, chapters 15 and 16 overview additional statistical methodology useful in studies of infectious disease dynamics. This book can be used as a guide for working with data, models and 'models-and-data' to understand epidemics and infectious disease dynamics in space and time. All the code and data sets are distributed in the epimdr2 R package to facilitate the hands-on philosophy of the text.

COVID-19 has made differential impacts on countries and communities around the world. China, where COVID-19 started, has developed and utilized different types of technologies, including both traditional and disruptive technologies, to address the pandemic risks. Also, there have been many innovations in applying technologies in different contexts during the pandemic as well as in the post-pandemic recovery and preparedness aspects. This book covers some of these technological developments as well as the governance mechanisms for developing a technology and innovation ecosystem in a post-COVID-19 context in China. The book also explores the experiences and lessons learned from different types of technologies and their implementation in the post-COVID-19 period and highlights how they can be useful to prepare for future calamities.

This updated second edition of Molecular Typing in Bacterial Infections, presented in two volumes, covers both common and neglected bacterial pathogenic agents, highlighting the most effective methods for their identification and classification in the light of their specific epidemiology. New chapters have been included to add new species, as well as another view of how bacterial typing can be used. These books are valuable resources for the molecular typing of infectious disease agents encountered in both research and hospital clinical laboratory settings, as well as in culture collections and in the industry. Each of the 21 chapters provides an overview of specific molecular approaches to efficiently detect and type different bacterial pathogens. The chapters are grouped in five parts, covering respiratory and urogenital pathogens (Volume I), and gastrointestinal and healthcare-associated pathogens, as well as a new group of vector-borne and Biosafety level 3 pathogens including a description of typing methods used in the traditional microbiology laboratory in comparison to molecular methods of epidemiology (Volume II). Comprehensive and updated, Molecular Typing in Bacterial Infections provides state-of-the-art methods for accurate diagnosis and for the correct classification of different types which will prove to be critical in unravelling the transmission routes of human pathogens.

In the global infectious-disease research community, there has long been uncertainty about the conditions under which biological resources may be studied or transferred out of countries. This work examines the reasons for that uncertainty and shows how global biomedical research has been shaped by international disputes over access to biological resources. Bringing together government leaders, World Health Organization officials, and experts in virology, wildlife biology, clinical ethics, technology transfer, and international law, the book identifies the critical problems - and implications of these problems - posed by negotiating for access and sharing benefits, and proposes solutions to ensure that biomedical advances are not threatened by global politics. Written in accessible, non-technical language, this work should be read by anyone who sees global health and biomedical research as a priority for international lawmakers.

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the coverage of advancements in panel data analysis, a statistical method widely used to analyze two or higher-dimensional panel data. The topics discussed in early editions have been reorganized and streamlined to comprehensively introduce panel econometric methodologies useful for identifying causal relationships among variables, supported by interdisciplinary examples and case studies. This book, to be featured in Cambridge's Econometric Society Monographs series, has been the leader in the field since the first edition. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

Anaesthetic trainees often have enormous trouble understanding the quantitative aspects of the basic sciences underlying clinical anaesthetic practice. The subjects of pharmokinetics and statistics are often unpopular with trainees, and studied with little enthusiasm. In spite of their reluctance, this is an area that they are required to study and understand as a core part of their training for postgraduate exams. Mathematics and statistics for anaesthetists presents simple mathematical ideas, and explains how these can be used to model and understand problems which arise in clinical anaesthesia. The common features of the underlying mathematics are emphasised through a pictorial/graphical approach, in preference to vast amounts of algebra. The book presents statistics in an informal and less intimidating style that most standard statistical texts, incorporating illustrations and cartoons throughout. The book will be valuable to anaesthetists, in guiding them through what can be an intimidating part of their training.

The past thirty years has seen a huge expansion in the provision of palliative care services. Because Palliative Medicine is a multidisciplinary specialty - combining the expertise of oncologists, anaesthetists, nurses, and many other therapeutic groups, the effectiveness of such treatment can be very difficult to measure. Additionally, research involving terminally ill patients and their carers can also present a number of practical and ethical problems. In spite of this, current health policy demands evidence of effectiveness and value for money of health service interventions at all levels of complexity, including the service level. Evaluating Palliative Care: Establishing the Evidence Base provides an introduction to the theory and practice of the evaluation of palliative care services. It examines the methodological issues involved in the evaluation of palliative care, and outlines a practical approach that is readily applicable to many other health care interventions. In particular, research issues involving terminally ill patients and their carers are analysed and discussed, and approaches suggested for future work.

This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner.

Sections include:

Clear explanation of basic concepts in the context of clinical research
Demonstration of how data are described, displayed and interpreted in different formats
Practical glossary and key to the symbols used in statistics and a discussion of the software tools

The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.

The book discusses the impact of genetics, social determinants of health, the environment, and lifestyle in the burden of cardiometabolic conditions in African American and Hispanic/Latinx populations. It includes fully updated and revised chapters on genetics and CVD risk, epidemiology of cardiovascular health, cardiovascular imaging, dyslipidemias and other emerging risk factors, obesity and metabolic syndrome, heart failure, and genetic variations in CVD. Unique aspects within African American and Hispanic/Latinx populations are explored with suggested appropriate therapeutic interventions. New chapters focus on ASCVD risk assessment, emerging precision medicine concepts, the impact of diabetes, resilience and CVD survival, and lifestyle and dieting considerations. Written by a team of experts, the book examines the degree to which biomedical and scientific literature can clarify the impact of genetic variation and environment on cardiovascular disease. The Second Edition of Cardiovascular Disease in Racial and Ethnic Minority Populations is an essential resource for physicians, residents, fellows, and medical students in cardiology, internal medicine, family medicine, clinical lipidology, and epidemiology.

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

This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.

This important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics (medical statistics). This new edition contains an additional two chapters. The first of these discusses fully parametric models for discrete repeated measures data. The second explores statistical models for time-dependent predictors where there may be feedback between the predictor and response variables.

This book provides detailed and updated knowledge about medically important 'Big Four' venomous snakes of India (Indian spectacled cobra, Indian common krait, Indian Russell's viper, and Indian saw-scaled viper). This book essentially covers the snakebite problem in the world with particular reference to Asia and India. It discusses the evolution and systematics of venomous snakes, emphasizing 'Big Four' venomous snakes of India; the evolution and composition of venoms determined by traditional biochemical and modern proteomic analyses. It also describes the pharmacological properties of enzymatic and non-enzymatic toxins of 'Big Four' venomous snakes of India. Different chapters discuss exciting topics such as species-specific and geographical differences in venom composition and its impact on pathophysiology and clinical manifestations of snakebite envenomation in India, biomedical application of Indian snake venom toxins; production and quality assessment of commercial antivenom, prevention, and treatment of snakebite in India, adverse effects of antivenom including strategies to combat antivenom reactions inpatient. This book caters to toxinologists, pharmacologists, zoologists, antivenom manufacturers, biochemists, clinicians, evolutionary biologists, herpetologists, and informed non-specialists interested to know about the Indian snake venoms.

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

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

This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.

"Swords and lances, arrows, machine guns and even high explosives have had far less power over the fate of nations than the typhus louse, the plague flea and the yellow-fever mosquito." Both shocking and entertaining, this masterpiece of popular science writing tells the tragic story of the struggle between humanity and its humble but deadly enemies, the organisms of disease. Zinsser shows how infectious disease simply represented an attempt of a living organism to survive. While from the human perspective an invading pathogen was abnormal, from the perspective of the pathogen it was perfectly normal. From the pestilence which contributed to the downfall of Rome to the dancing manias of medieval Europe, the aristocracy's fashion for wearing wigs and the role of typhus in the First World War, Zinsser reveals just how disease and epidemics have shaped human history. Praise for Rats, Lice and History: "Zinsser's account of lice and men remains a delight. Written in 1935 as a latter-day variation on Laurence Sterne's The Life and Opinions of Tristram Shandy, Zinsser's book gives a picaresque account of how the history of the world has been shaped by epidemics of louseborne typhus... Zinsser's romp through the ancient and modern worlds describes how epidemics devastated the Byzantines under Justinian, put Charles V atop the Holy Roman Empire, stopped the Turks at the Carpathians, and turned Napolean's Grand Armee back from Moscow." Gerald Weissmann, Emerging Infectious Diseases "This book... is listed among the best sellers. The style is delightful, and the subject matter very interesting... [It gives an] account of man's defeats and victories against epidemics... Those who have read Dr. Zinsser's articles will enjoy this book, and to others it will be a pleasant surprise." Elizabeth Hard, The American Journal of Nursing "No one who buys this book will feel cheated." H. M. Parshley, Nation "This book will surely be studied with great interest by the lay reader... [I]t presents a fascinating blend of scientific and historical research, humour, and stimulating opinion." The British Medical Journal "I had the fun of editing Hans's book Rats, Lice and History, that unique account of what infectious diseases had done to change the fate of nations." Edward Weeks, The Atlantic

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staff based in Rio de Janeiro, Brazil. Topics covered in this volume include infection modeling, with an emphasis on different aspects of the COVID-19 and novel Coronavirus spread; a description of the effectiveness of quarantine measures via dynamic analysis of SLIR model; hemodynamic simulations in time-dependent domains; an optimal control model for the Ebola disease; and the co-existence of chaos and control in the context of biological models. Texts in agroforestry, economic development, and wastewater treatment processes complete this volume. Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 20th edition of the BIOMAT International Symposium has received contributions by authors from 18 countries: Algeria, Brazil, Cameroon, Canada, Chile, China (Hong Kong), Colombia, Germany, Hungary, India, Italy, Morocco, Nigeria, Russia, Senegal, South Africa, USA, and Uzbekistan. Previous BIOMAT volumes with selected works from 2017, 2018, and 2019 were also published by Springer.

This major reference work is the first comprehensive text to review in detail the data currently available on the epidemiology of the main rheumatic and musco-skeletal diseases. The problems of disease definition and criteria are considered with data on the occurrence of these diseases, both prevalence and incidence, and their variation with age, sex, geographical area, ethnic group, and trends over time. The results of epidemiological investigations,looking at both genetic and environmental risk factors, are considered and the impact of specific diseases of survival is also considered. Covering 15 disease areas from inflammatory joint disease and connective tissue disease to degenerative joint disease and non-articular conditions, such as low back pain and carpel tunnel syndrome, this is the only text available which offers full coverage of the subject with a truly international perspective.

Evidence based medicine is at the core of modern medicine. It involves the integration of individual clinical expertise with the best available clinical evidence from systematic research and patient's values and expectations. Systematic reviews offer a summary of the best available evidence. They are the most reliable and comprehensive statement about what works. Written by clinical academics from Australia, UK, USA, and Switzerland, this contributed volume introduces the readers to the principles and practice of systematic reviews and meta-analysis. It covers the various steps involved in systematic reviews including development of a focused question and the strategy for conducting a comprehensive literature search, identifying studies addressing the underlying question, assessment of heterogeneity and the risk of bias in the included studies, data extraction, and the approach to meta-analysis. Crucial issues such as selecting the model for meta-analysis, generating and interpreting forest plots, assessing the risk of publication bias, cautions in the interpretation of subgroup and sensitivity analyses, rating certainty of the evidence using GRADE guideline, and standardized reporting of meta-analysis (PRISMA) are covered in detail. Every attempt is made to keep the narrative simple and clear. Mathematical formulae are avoided as much as possible. While the focus of this book is on systematic reviews and meta-analyses of randomised controlled trials (RCTs), the gold standard of clinical research, the essentials of systematic reviews of non-RCTs, diagnostic test accuracy studies, animal studies, individual participant data meta-analysis, and network meta-analysis are also covered. Readers from all faculties of medicine will enjoy this comprehensive and reader friendly book to understand the principles and practice of systematic reviews and meta-analysis for guiding their clinical practice and research.

This book is useful for administrators of different levels involved in counteracting COVID-19, surveillance professionals, clinicians, researchers specializing in epidemiology, microbiology, and infectious diseases, and politicians / legislators engaged in public health sector. We use an innovative approach of combining both epidemiological and sociological analyses, as the very problem is mainly an issue of correct governance. A team of authors from Europe, Russia and China summarizes their experience and knowledge useful for containing SARS-CoV-2 and overcoming social and managerial consequences of the pandemic. The editors are sure that sharing our different experience would help to elaborate necessary strategies, protocols, and principles that may be effectively applied in the future to avoid dramatic consequences of not only COVID-19 but also any possible epidemiological hazards for people and medicine.

This book provides an introduction to the theory of ordinary differential equations and its applications to population dynamics. Part I focuses on linear systems. Beginning with some modeling background, it considers existence, uniqueness, stability of solution, positivity, and the Perron-Frobenius theorem and its consequences. Part II is devoted to nonlinear systems, with material on the semiflow property, positivity, the existence of invariant sub-regions, the Linearized Stability Principle, the Hartman-Grobman Theorem, and monotone semiflow. Part III opens up new perspectives for the understanding of infectious diseases by applying the theoretical results to COVID-19, combining data and epidemic models. Throughout the book the material is illustrated by numerical examples and their MATLAB codes are provided. Bridging an interdisciplinary gap, the book will be valuable to graduate and advanced undergraduate students studying mathematics and population dynamics.

This open access book describes Smittestopp, the first Norwegian system for digital contact tracing of Covid-19 infections, which was developed in March and early April 2020. The system was deployed after five weeks of development and was active for a little more than two months, when a drop in infection levels in Norway and privacy concerns led to shutting it down. The intention of this book is twofold. First, it reports on the design choices made in the development phase. Second, as one of the only systems in the world that collected population data into a central database and which was used for an entire population, we can share experience on how the design choices impacted the system's operation. By sharing lessons learned and the challenges faced during the development and deployment of the technology, we hope that this book can be a valuable guide for experts from different domains, such as big data collection and analysis, application development, and deployment in a national population, as well as digital tracing.