Assessing Covid 19 And Other Pandemics And Epidemics Using Computational Modelling And Data Analysis

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

An Introduction to the Microbiome in Health and Diseases covers the compositional structure and roles of the human microbiome in health and disease. Sections discuss and foundational content, from bench to bedside in microbiology to trigger more in-depth knowledge and provide updated findings on today's hottest topic–the microbiome. The book translates current findings of studies into clinical practice. Other sections give updates on the role of microbiome in health and several diseases, the impact of diet, exercise and gut microbiome, the plant microbiome, non-infectious environmental agents and autoimmunity. Provides fundamental coverage on the microbiome and its effect on human health and diseases. Describes procedures for sampling small and larger samples of the microbiome. Discusses patents, bioproducts, commercialization, and the social, ethical and economic implications of the microbiome.

This volume reviews cutting-edge innovations in blockchain technology that are propelling the healthcare industry into a new era of efficiency and security. It brings 14 reviews contributed by experts in blockchain and Web3 technologies into a single volume. Each contribution includes a summary for easy understanding and scientific references for advanced readers. Key Themes: Empowering Decentralized Healthcare: Learn about the future of decentralized healthcare, powered by blockchain, ensuring a seamless and patient-centric experience. Clinical Trials: Discover how blockchain is reshaping clinical trials, offering a glimpse into a future of optimized medical research. Data Security: Uncover the strategic use of blockchain in securing vital clinical trials data, ensuring confidentiality and integrity at every step. Blockchain-based Healthcare delivery: Delve into a comprehensive review of blockchain technology in the health sector, revealing its potential to transform healthcare systems with efficient and precise solutions. Predict, Prevent, and Protect: Understand how blockchain technology serves as a predictive tool, aiding in the prevention and control of the spread of COVID-19. This volume is a must-read for healthcare practitioners and administrators seeking to harness the power of blockchain in medicine and healthcare. It also provides information for researchers and business professionals who want to understand the innovative role of blockchain technology in the healthcare sector.

This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry 4.0 approaches.

Engineering Principles, Modelling and Economics of Evaporative Coolers covers the basic engineering and technical principles behind the operation and construction of evaporative coolers, also highlighting challenges. The book presents the reader with selected case studies on modelling in the cooling chamber and explains the economic implications an evaporative structure can bring. Edited by a team of specialists, the book also explains the strong dependence of the technology’s performance on environmental conditions, and hence the limits on temperature control in the preservation of post-harvest agriculture products. Evaporative coolers are an ancient technology, invented long before the introduction of chemical refrigerants as used in modern fridges or cooling towers. This two volume set covers the topic, with practical applications, construction techniques, and operation of the technology. Thoroughly explores unit operations and engineering principles of evaporative coolers Includes CFD modelling on evaporative cooling structures Covers the economics of evaporative coolers

This edited volume presents a collection of ten chapters discussing the current trends of bio- and nano-sensing technologies for processing and packaging of food items.

Evaporative Coolers for the Postharvest Management of Fruits and Vegetables covers world demand for food of high quality without chemical preservatives and with extended shelf life. The book provides the practical application of evaporative coolers, with a strong focus on postharvest management and fruit/vegetable science as high moisture foods are highly perishable. Special emphasis is laid on the impact of the evaporative coolant structure on the nutritional and food safety content of fresh produce. Moreover, the book covers the effect of evaporative coolant structure towards the reduction of spoilage microorganisms responsible for the spoilage of post-harvest losses of various fruits and vegetables. Edited by a team of specialists, this title also helps people dealing with microbiology understand how this simple technology can help improve product quality for communities that currently lack access to cooling or have unreliable power supplies. Thoroughly explores shelf-life extensions that can be achieved when applying evaporative cooling Covers postharvest management through evaporative cooling Brings food and consumer science aspects from evaporative cooled fruits and vegetables Presents information on the interaction of edible coatings towards the extension of climacteric and non-climacteric fruits