Neuroprotection in Alzheimer's Disease offers a translational point-of-view from both basic and clinical standpoints, putting it on the cusp for further clinical development with its emphasis on nerve cell protection, including the accumulation of knowledge from failed clinical trials and new advances in disease management. This book brings together the latest findings, both basic, and clinical, under the same cover, making it easy for the reader to obtain a complete overview of the state-of-the-field and beyond. Alzheimer's disease is the most common form of dementia, accounting for 60 to 80 percent of dementia cases. It is a progressive brain disease that slowly destroys memory, thinking skills, and eventually, even the ability to carry out the simplest tasks. It is characterized by death of synapses coupled to death nerve cells and brain degeneration which is manifested by loss of cognitive abilities. Understanding neuroprotection in Alzheimer's disease will pave the path to better disease management and novel therapeutics.

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.

Simulating for a crisis is far more than creating a simulation of a crisis situation. In order for a simulation to be useful during a crisis, it should be created within the space of a few days to allow decision makers to use it as quickly as possible. Furthermore, during a crisis the aim is not to optimize just one factor, but to balance various, interdependent aspects of life. In the COVID-19 crisis, decisions had to be made concerning e.g. whether to close schools and restaurants, and the (economic) consequences of a 3 or 4-week lock-down had to be considered. As such, rather than one simulation focusing on a very limited aspect, a framework allowing the simulation of several different scenarios focusing on different aspects of the crisis was required. Moreover, the results of the simulations needed to be easily understandable and explainable: if a simulation indicates that closing schools has no effect, this can only be used if the decision makers can explain why this is the case. This book describes how a simulation framework was created for the COVID-19 crisis, and demonstrates how it was used to simulate a wide range of scenarios that were relevant for decision makers at the time. It also discusses the usefulness of the approach, and explains the decisions that had to be made along the way as well as the trade-offs. Lastly, the book examines the lessons learned and the directions for the further development of social simulation frameworks to make them better suited to crisis situations, and to foster a more resilient society.

It is now forty years since the discovery of AIDS, but its origins continue to puzzle doctors, scientists and patients. Inspired by his own experiences working as a physician in a bush hospital in Zaire, Jacques Pepin looks back to the early twentieth-century events in central Africa that triggered the emergence of HIV/AIDS and traces its subsequent development into the most dramatic and destructive epidemic of modern times. He shows how the disease was first transmitted from chimpanzees to man and then how military campaigns, urbanisation, prostitution and large-scale colonial medical interventions intended to eradicate tropical diseases combined to disastrous effect to fuel the spread of the virus from its origins in Leopoldville to the rest of Africa, the Caribbean and ultimately worldwide. This is an essential perspective on HIV/AIDS and on the lessons that must be learned as the world faces another pandemic.

IN THE WAR AGAINST DISEASES, THEY ARE THE SPECIAL FORCES.

They always keep a bag packed. They seldom have more than twenty-four hours' notice before they are dispatched. The phone calls that tell them to head to the airport, sometimes in the middle of the night, may give them no more information than the country they are traveling to and the epidemic they will tackle when they get there.

The universal human instinct is to run from an outbreak of disease. These doctors run toward it.

They are the disease detective corps of the U.S. Centers for Disease Control and Prevention (CDC), the federal agency that tracks and tries to prevent disease outbreaks and bioterrorist attacks around the world. They are formally called the Epidemic Intelligence Service (EIS) -- a group founded more than fifty years ago out of fear that the Korean War might bring the use of biological weapons -- and, like intelligence operatives in the traditional sense, they perform their work largely in anonymity. They are not household names, but over the years they were first to confront the outbreaks that became known as hantavirus, Ebola virus, and AIDS. Now they hunt down the deadly threats that dominate our headlines: West Nile virus, anthrax, and SARS.

In this riveting narrative, Maryn McKenna -- the only journalist ever given full access to the EIS in its fifty-three-year history -- follows the first class of disease detectives to come to the CDC after September 11, the first to confront not just naturally occurring outbreaks but the man-made threat of bioterrorism. They are talented researchers -- many with young families -- who trade two years of low pay and extremely long hours for the chance to be part of the group that has helped eradicate smallpox, push back polio, and solve the first major outbreaks of Legionnaires' disease, toxic shock syndrome, and "E. coli" O157.

Urgent, exhilarating, and compelling, "Beating Back the Devil" goes with the EIS as they try to stop epidemics -- before the epidemics stop us.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

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.

Vital Statistics of the United States: Births, Life Expectancy, Deaths, and Selected Health Data brings together a comprehensive collection of birth, mortality, and health data into a single volume. It provides a wealth of information compiled by the National Center for Health Statistics and other government agencies. Vital Statistics contains over 225 tables and is divided into four parts: Births, Mortality, Health, and Marriage and Divorce. Charts and graphs, available at applicable points in each chapter, illustrate some of the most vital trends in the data. In addition, updated definitions reflect the latest federal parameters for information about births, mortality, health, and marriages.

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, "Methods in Biomedical Informatics" provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, "Methods in Biomedical Informatics" provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research.
Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applicationsMaterial is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios.Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.

Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry.
This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.

This book provides concrete scientific basis that we can conceive the possibility of modifying or even completely canceling aging process, despite the fact that aging is commonly regarded as the result of the overall effects of many uncontrollable degenerative phenomena. The authors illustrate in detail the mechanisms by which cells and the whole organism age. Actions by which it is possible, or will be possible within a limited time, to operate for modifying aging are also debated. The discussion is conducted within the frame and the concepts of evolutionary medicine, which is also indispensable for distinguishing between the manifestations of aging and: (i) diseases that worsen with age, and (ii) acceleration of normal aging rates, caused by unhealthy lifestyle habits and other avoidable factors. The book also discusses the impact of aging on overall mortality and the strange situation that, according to official statistics, aging does not exist as cause of death. This book is a turning point between a gerontology and geriatrics conceived as the study and vain treatment of an incurable condition and one in which these disciplines examine the how and why of a physiological phenomenon that can be modified up to a possible total control. This means transforming the medical prevention and treatment of physiological aging from the greatest failure to the greatest success of medicine.

Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.

This book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. It opens with two introductory chapters on the immunology of vaccines to provide readers with the necessary background knowledge. It then continues with an in-depth exploration of the analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.

The social and behavioural aspects of HIV and AIDS have continued to defy explanation. Often, the complex dynamics of the condition are overlooked in the attempt to find a chemical answer. This book examines the quest for appropriate prevention programmes for HIV, based on an examination of its epidemiology. The transfer of HIV/AIDS among people in any society is complex, but the author argues that understanding how the virus moves socially can help in prevention. There is a widespread agreement that the HIV pandemic in southern Africa has reached catastrophic proportions. In providing an analysis of the movement of the virus at a local and regional level in southern Africa, Webb intends to make available techniques and conceptual models which will allow researchers and policy makers to understand the epidemic and respond effectively. He traces the complex relation between the virus, the movement of peoples and traditional sexual behaviour and examines HIV in the context of "development" and political and structural change in southern Africa.

With our highly connected and interdependent world, the growing threat of infectious diseases and public health crisis has shed light on the requirement for global efforts to manage and combat highly pathogenic infectious diseases and other public health crisis on an unprecedented level. Such disease threats transcend borders. Reducing global threats posed by infectious disease outbreaks - whether naturally caused or resulting from a deliberate or accidental release - requires efforts that cross the disaster management pillars: mitigation, preparedness, response and recovery. This book addresses the issues of global health security along 4 themes: Emerging Threats; Mitigation, Preparedness, Response and Recovery; Exploring the Technology Landscape for Solutions; Leadership and Partnership. The authors of this volume highlight many of the challenges that confront our global security environment today. These range from politically induced disasters, to food insecurity, to zoonosis and terrorism. More optimistically, the authors also present some advances in technology that can help us combat these threats. Understanding the challenges that confront us and the tools we have to overcome them will allow us to face our future with confidence.