Demystifying Covid 19 Understanding The Disease Its Diagnosis And Treatment

The management of COVID-19 is challenging due to the lack of clear information about the Sars-Cov2 and recommendations for specific treatment regimens. The scale of the pandemic has also exacerbated the situation, with health care systems under stress from the high volume of COVID-19 patients. In Demystifying COVID-19: Understanding the Disease, Its Diagnosis, and Treatment, medical experts explain many aspects about the COVID-19 pandemic, including guidelines to minimize risk of infection, diagnostic methods, treatment, real scenarios in the course of the disease and issues that need attention in specific patient groups. The book equips both general readers and healthcare professionals with key information required to understand COVID-19 and navigate a situation typical to a pandemic. Public health officials who wish to mobilize awareness campaigns for the benefit of the general public can also find value in the comprehensive information presented in this reference.

Abdominal pain is one of the frequent reasons for admission to emergency departments in hospitals. Diagnosis in patients presenting abdominal pain is a challenge for physicians owing to several indications, and a lack of contraindications. Delay in diagnosis and misdiagnosis is a common problem even for the most experienced emergency physician or general surgeon. Disruptions that may be related to ancillary services such as radiology and biochemistry also increase the difficulty. Abdominal Pain: Essential Diagnosis and Management in Acute Medicine is a definitive diagnosis guide that serves as a quick reference that supplements medical examinations. It gives physicians involved in a range of medical specialties (emergency medicine, family medicine, gastroenterology, general surgery) an understanding of how to apply procedures to expediently relieve pain where possible, after evaluating and recording the initial vital signs and findings on systemic examination. Key Features - Covers abdominal pain diagnosis and patient management patient in a systematic and structured manner in 12 chapters - Chapters are dedicated to specific topics - Presents an individualized approach tailored for the patient to address common problems - Gives general working knowledge for specific diseases in the list of possible diagnoses - Provides a guide to situations involving trauma and surgery

Cardiac Care and COVID-19: Perspectives in Medical Practice is an accessible reference on diagnoses and treatment modalities for cardiac diseases in general, and emergency cardiac conditions to be more specific, with respect to the current COVID-19 pandemic. Chapters in the book give updated descriptions of common problems in emergency medicine and cardiovascular disease. Each chapter is dedicated to a specific cardiovascular disease and explains management principles, diagnostic procedures and therapy. Examples of medical cases have also been used to highlight complex issues to give a concrete understanding of the cardiac care in COVID-19 patients to the medical practitioner, whether they are involved in critical care or in outpatient clinics. Key Features: - Clinical guidelines for critical care and cardiovascular management of COVID-19 patients - Topic-based information about cardiovascular diseases - Covers a range of cardiovascular problems including myocarditis, arrhythmias, chest pain, acute coronary syndrome - Information on pulmonary embolism and associated problems - Reader friendly presentation - Case-based examples for explaining concepts The range of topics combined with the simple presentation make this an essential reference for healthcare workers in emergency medicine, cardiology and nursing. General physicians interested in the cardiovascular impact of COVID-19 will also benefit from the information provided in the book.

The current COVID-19 pandemic has infected more than 219 million people and killed more than 4.5 million people worldwide. It has also impacted the socioeconomic status of affected countries and led to the fastest development of vaccines in history. Over seven sections and seventeen chapters, this book comprehensively reviews numerous aspects of COVID-19, including epidemiology, zoonosis, drug development, telehealth, the effects of the virus on healthcare workers, the importance of architecture, and urbanism in preventing future pandemics, and much more.

This book is a collection of peer-reviewed best selected research papers presented at the First International Conference on Machine Intelligence and Smart Systems 2020 (MISS 2020), organized during September 24–25, 2020, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.

This guide prepares addiction and mental health professionals to understand the relationship between substance use and mental health problems, and offers an array of treatment options for different combinations of co-occurring problems. Divided into three sections, covering assessment, practical applications, and tools and techniques, this handbook includes topics such as : concurrent disorders : past, present, and future; identifying, understanding and treating concurrent disorders; providing specialized services to clients; and improving existing services to better serve clients.

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions