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Features, Transmission, Detection, and Case Studies in COVID-19 examines the effects of the virus on the body, as well as its transmission and clinical profile. This volume begins with an introduction to the virus and its pathogenesis, transmission, and avoidance, followed by sections on pulmonary and cardiovascular effects, obesity, diabetes, the liver, detection issues, and biomarkers. Vaccines and treatment are also discussed. Specific case studies covered include hypoxia, acute kidney injury, pneumonia, and neurological effects. This volume is relevant for all clinicians and scientists working to ensure the best outcomes for patients with COVID-19. - Discusses COVID-19 biology, including pathogenesis and transmission - Describes systemic issues caused by COVID-19, including cardiovascular effects and loss of taste and smell - Outlines detection methods, biomarkers associated with severity, and disease outcomes - Features individual chapter introductions, summaries, and case studies to provide comprehensive descriptions of COVID-19 symptoms and effects - Contains chapters with key facts, dictionary of terms, summary points, applications to other areas pertinent to each chapter, and policies and procedures
Linking Neuroscience and Behavior in COVID-19 examines the impact of the virus and pandemic on behavior and mental health. Chapters look at those with pre-existing conditions, including dementia and multiple sclerosis, and how the pandemic has burdened them further. There is also discussion on the mental health consequences the pandemic has had and continues to have on the broad populace, including depression and anxiety, as well as neurological effects of the virus itself. Finally, managing care and treatment of conditions - those preceding, caused by, or emerging for the first time during the pandemic are also detailed. - Discusses the impact of the COVID-19 pandemic and the virus itself on behavior and psychology - Examines comorbidities including Parkinson's disease, neuroinflammation, and autism spectrum disorders - Outlines the management and care for coexisting conditions including brain tumors, multiple sclerosis, and ischemic stroke - Features chapters on the severe damage to the nervous system which may be caused by SARS-CoV-2 infection including myelitis - Contains chapters with key facts, dictionary of terms, summary points, applications to other areas pertinent to each chapter, and policies and procedures
International and Life Course Aspects of COVID-19 describes the nuances and international variations of COVID-19 in different populations and age groups. This volume details those differences in chapters examining the effects of the virus at different life stages, including newborns, children, adolescents, and older populations. Consideration of the age-specific effects of COVID-19 on the brain are a major focus unique to this resource. International observations and global outcomes are also described. This volume is relevant for all clinicians working to ensure the best outcomes for patients with COVID-19 worldwide. - Examines COVID-19 symptoms and concerns according to age - Discusses outcomes related to global populations and differences observed in symptomatology and care - Focuses on the brain, with a look at developmental changes in pregnancy, newborns, childhood, and adolescence - Describes mental health impacts in the older populations - Features individual chapter introductions and summaries to provide a comprehensive introduction - Contains chapters with key facts, dictionary of terms, summary points, applications to other areas pertinent to each chapter, and policies and procedures
COVID-19 Global Lessons Learned is a collection of 6 interactive case studies, 6-10-page each, that is designed for online or classroom discussion or as graded assignments. The case studies include links to websites and videos, discussion and interactive questions, plus a full package of instructor resources including a helpful instructor’s guide with sample answers to discussion questions, and a test bank. The 6 Interactive Case Studies include: 1. Clinical course of COVID-19 2. Epidemiology of COVID-19 3. Testing for COVID-19 4. Population Prevention and COVID-19 5. Treatment of COVID-19 6 Health Policy and Communications for COVID-19 Available at no additional cost (excluding Inclusive Access) when bundled with a Jones & Bartlett Learning text, these case studies are designed to be used in a wide range of courses.
Since the spread of COVID-19, conferences have been canceled, schools have closed, and libraries around the world are facing difficult decisions on which services to offer and how, ranging from minimal restrictions to full closures. Depending on the country, state, or city, a government may have a different approach, sometimes ordering the closure of all institutions, others indicating that it’s business as usual, and others simply leaving decisions up to library directors. All libraries worldwide have been affected, from university libraries to public library systems and national libraries. Throughout these closures, libraries continue to provide services to their communities, which has led to an emerging area of research on library services, new emerging technologies, and the advancements made to libraries during this global health crisis. The Handbook of Research on Library Response to the COVID-19 Pandemic consists of chapters that contain essential library services and emerging research and technology that evolved and/or has continued during the COVID-19 pandemic, as well as the challenges and opportunities that have been undertaken as a result. The chapters provide in-depth research, surveys, and information on areas such as remote working, machine learning, data management, and the role of information during COVID-19. This book is a valuable reference tool for practitioners, stakeholders, researchers, academicians, and students who are interested in the current state of libraries during a pandemic and the future outlook.
The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.