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

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.

Volume I.A An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international concern. The ongoing outbreak presents many clinical and public health management challenges due to limited understanding of viral pathogenesis, risk factors for infection, natural history of disease including clinical presentation and outcomes, prognostic factors for severe illness, period of infectivity, modes and extent of virus inter-human transmission, as well as effective preventive measures and public health response and containment interventions. There are no antiviral treatment nor vaccine available but fast track research and development efforts including clinical therapeutic trials are ongoing across the world. Managing this serious epidemic requires the appropriate deployment of limited human resources across all cadres of health care and public health staff, including clinical, laboratory, managerial and epidemiological data analysis and risk assessment experts. It presents challenges around public communication and messaging around risk, with the potential for misinformation and disinformation. Therefore, integrated operational research and intervention, learning from experiences across different fields and settings should contribute towards better understanding and managing COVID-19. This Research Topic aims to highlight interdisciplinary research approaches deployed during the COVID-19 epidemic, addressing knowledge gaps and generating evidence for its improved management and control. It will incorporate critical, theoretically informed and empirically grounded original research contributions using diverse approaches, experimental, observational and intervention studies, conceptual framing, expert opinions and reviews from across the world. The Research Topic proposes a multi-dimensional approach to improving the management of COVID-19 with scientific contributions from all areas of virology, immunology, clinical microbiology, epidemiology, therapeutics, communications as well as infection prevention and public health risk assessment and management studies.

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.

Almost nine months since the first recorded case, the novel betacoronovirus; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has now passed 18 million confirmed cases. The multi-disciplinary work of researchers worldwide has provided a far deeper understanding of COVID-19 pathogenesis, clinical treatment and outcomes, lethality, disease-spread dynamics, period of infectivity, containment interventions, as well as providing a wealth of relevant epidemiological data. With 27 vaccines currently undergoing human trials, and countries worldwide continuing to battle case numbers, or prepare for resurgences, the need for efficient, high-quality pipelines for peer-reviewed research remains as crucial as ever.