Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.

From preeminent LGBTQ scholar, social critic, and journalist Steven W. Thrasher comes a powerful and crucial exploration of one of the most pressing issues of our times: how viruses expose the fault lines of society.

Having spent a ground-breaking career studying the racialization, policing, and criminalization of HIV, Dr. Thrasher has come to understand a deeper truth at the heart of our society: that there are vast inequalities in who is able to survive viruses and that the ways in which viruses spread, kill, and take their toll are much more dependent on social structures than they are on biology alone.

Told through the heart-rending stories of friends, activists, and teachers navigating the novel coronavirus, HIV, and other viruses, Dr. Thrasher brings the reader with him as he delves into the viral underclass and lays bare its inner workings. In the tradition of Isabel Wilkerson’s Caste and Michelle Alexander’s The New Jim Crow, The Viral Underclass helps us understand the world more deeply by showing the fraught relationship between privilege and survival.

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.

Brain Metastases from Primary Tumors Volume Three: Epidemiology, Biology, and Therapy of Melanoma and Other Cancers provides a comprehensive overview of the metastasis of cancer, the main cause of approximately 90% of cancer associated deaths, yet the mechanisms governing this clinically important process remain poorly understood. Melanoma is the third most common diagnosis among patients with brain metastases, after lung and breast cancer. Approximately 75% of patients with metastatic melanoma develop brain metastases during the course of their disease. Although tumorigenesis of melanoma remains poorly understood, recent advances in gene expression profiling have revealed molecular mechanisms of this deadly disease. In addition, high-throughput gene expression has many advantages over techniques in cancer transcriptomic studies and has led to the discovery of numerous diagnostic, prognostic, and therapeutic targets, which are also detailed in this book. The book discusses the link between primary tumors and brain metastasis of melanoma, including molecular mechanisms, treatment options, prognosis, and general applications. Comprehensive chapters discuss systemic therapy, integrin inhibitors, stereotaxic radiosurgery, and more, making this book a great resource for neurooncologists, neurosurgeons, neurologists, and cancer researchers.

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.

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.

Phytochemical Profiling of Commercially Important South African Plants comprises a carefully selected group of plant species that are of interest to researchers and industry partners who would like to investigate the commercialization of plant species. The book presents 25 botanicals selected based on commercial relevance. For each of the species, the following topics are covered: botanical description and distribution, phytochemistry (including chemical structures), HPTLC fingerprint analysis, UPLC analysis, and GC analysis (the latter only in the case of essential oil-bearing species). Using standard methodology, high-level chromatographic fingerprints have been developed for better understanding. Different methods are succinctly summarized allowing for the rapid identification of botanical raw materials and formulated consumer products. This book will be extremely valuable to researchers in the field who wish to rapidly identify the constituents and for those who want to prepare formulations of plant material for commercial applications. This work will also be a valuable resource in the field of pharmacognosy.

Delivery Technologies for Immuno-Oncology: Volume 1: Delivery Strategies and Engineering Technologies in Cancer Immunotherapy examines the challenges of delivering immuno-oncology therapies. Immuno-oncology (IO) is a growing field of medicine at the interface of immunology and cancer biology leading to development of novel therapeutic approaches, such as chimeric antigen receptor T-cell (CAR-T) and immune checkpoint blockade antibodies, that are clinically approved approaches for cancer therapy. Although currently approved IO approaches have shown tremendous promise for select types of cancers, broad application of IO strategies could even further improve the clinical success, especially for diseases such as pancreatic cancer, brain tumors where the success of IO so far has been limited. Nanotechnology-based targeted delivery strategies could improve the delivery efficiency of IO agents as well as provide additional avenues for novel therapeutic and vaccination strategies. Additionally, a number of locally-administered immunogenic scaffolds and therapeutic strategies, such as the use of STING agonist, could benefit from rationally designed biomaterials and delivery approaches. Delivery Technologies for Immuno-Oncology: Volume 1: Delivery Strategies and Engineering Technologies in Cancer Immunotherapy creates a comprehensive treaty that engages the scientific and medical community who are involved in the challenges of immunology, cancer biology, and therapeutics with possible solutions from the nanotechnology and drug delivery side.

In the past two decades, several pandemics have ravaged the globe, giving us several lessons on infectious disease epidemiology, the importance of initial detection and characterization of outbreak viruses, the importance of viral epidemic prevention steps, and the importance of modern vaccines. Pandemic Outbreaks in the Twenty-First Century: Epidemiology, Pathogenesis, Prevention, and Treatment summarizes the improvements in the 21st century to overcome / prevent / treat global pandemic with future prospective. Divided into 9 chapters, the book begins with an in-depth introduction to the lessons learned from the first pandemic of the 21st century. It describes the history, present and future in terms of detection, prevention and treatment. Followed by chapters on the outbreak, treatment strategies and clinical management of several infectious diseases like MERS, SARD and COVID 19, Pandemic Outbreaks in the Twenty-First Century: Epidemiology, Pathogenesis, Prevention, and Treatment, presents chapters on immunotherapies and vaccine technologies to combat pandemic outbreak and challenges. The book finishes with a chapter on the current knowledge and technology to control pandemic outbreaks. All are presented in a practical short format, making this volume a valuable resource for very broad academic audience.

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.

Tailor-Made Polysaccharides in Biomedical Applications provides extensive details on all the vital precepts, basics, and fundamental aspects of tailored polysaccharides in the pharmaceutical and biotechnological industries. This information provides readers with the foundation for understanding and developing high-quality products. The utilization of natural polymeric excipients in numerous healthcare applications demands the replacement of the synthetic polymers with natural polymers. Natural polymers are superior in terms of biocompatibility, biodegradability, economic extraction, and ready availability. Natural polymers are especially useful in that they are a renewable source of raw materials, as long as they are grown sustainably. Among these natural polymers, polysaccharides are considered as excellent excipients because they are nontoxic, stable, and biodegradable. Several research innovations have been carried out using polysaccharides in drug delivery applications. This book offers a comprehensive resource to understand the potential of these materials in forming new drug delivery methods. It will be useful to biomedical researchers, chemical engineers, regulatory scientists, and students who are actively involved in developing pharmaceutical products for biomedical applications by using tailor-made polysaccharides.

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.

Molecular Tools and Infectious Disease Epidemiology examines the opportunities and methodologic challenges in the application of modern molecular genetic and biologic techniques to infectious disease epidemiology. The application of these techniques dramatically improves the measurement of disease and putative risk factors, increasing our ability to detect and track outbreaks, identify risk factors and detect new infectious agents. However, integration of these techniques into epidemiologic studies also poses new challenges in the design, conduct, and analysis. This book presents the key points of consideration when integrating molecular biology and epidemiology; discusses how using molecular tools in epidemiologic research affects program design and conduct; considers the ethical concerns that arise in molecular epidemiologic studies; and provides a context for understanding and interpreting scientific literature as a foundation for subsequent practical experience in the laboratory and in the field. The book is recommended for graduate and advanced undergraduate students studying infectious disease epidemiology and molecular epidemiology; and for the epidemiologist wishing to integrate molecular techniques into his or her studies.

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.

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.