Computational Modeling And Data Analysis In Covid 19 Research

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Computational Modeling and Data Analysis in COVID-19 Research

Author : Chhabi Rani Panigrahi
Publisher : CRC Press
ISBN 13 : 1000384977
Total Pages : 270 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computational Modeling and Data Analysis in COVID-19 Research by : Chhabi Rani Panigrahi

Download or read book Computational Modeling and Data Analysis in COVID-19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-10 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Author : Subhendu Kumar Pani
Publisher : Springer Nature
ISBN 13 : 3030797538
Total Pages : 416 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis by : Subhendu Kumar Pani

Download or read book Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis written by Subhendu Kumar Pani and published by Springer Nature. This book was released on 2021-12-13 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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..

Computational Epidemiology

Author : Ellen Kuhl
Publisher : Springer Nature
ISBN 13 : 3030828905
Total Pages : 312 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational Epidemiology by : Ellen Kuhl

Download or read book Computational Epidemiology written by Ellen Kuhl and published by Springer Nature. This book was released on 2021-09-22 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

Data Science for COVID-19

Author : Utku Kose
Publisher : Academic Press
ISBN 13 : 0323907709
Total Pages : 812 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Data Science for COVID-19 by : Utku Kose

Download or read book Data Science for COVID-19 written by Utku Kose and published by Academic Press. This book was released on 2021-10-22 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the 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 the wide variety of impacts the virus is having on societies and medical practice Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics

Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming

Author : William E Schiesser
Publisher : World Scientific
ISBN 13 : 9811222894
Total Pages : 109 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming by : William E Schiesser

Download or read book Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming written by William E Schiesser and published by World Scientific. This book was released on 2020-06-16 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussion of the ODEs, initial conditions and parameters, followed by a line-by-line explanation of a set of R routines (R is a quality, scientific programming system readily available from the Internet). The reader can access and execute these routines without having to first study numerical algorithms and computer coding (programming) and can perform numerical experimentation with the model on modest computers.

Data Science for COVID-19 Volume 1

Author : Utku Kose
Publisher : Academic Press
ISBN 13 : 0128245379
Total Pages : 754 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Data Science for COVID-19 Volume 1 by : Utku Kose

Download or read book Data Science for COVID-19 Volume 1 written by Utku Kose and published by Academic Press. This book was released on 2021-05-20 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Computational Modeling of the COVID-19 Disease

Author : William E. Schiesser
Publisher :
ISBN 13 : 9789811222887
Total Pages : 100 pages
Book Rating : 4.2/5 (228 download)

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Book Synopsis Computational Modeling of the COVID-19 Disease by : William E. Schiesser

Download or read book Computational Modeling of the COVID-19 Disease written by William E. Schiesser and published by . This book was released on 2020 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Big Data Analytics and Its Role in COVID-19 Research

Author : Zhao, Peng
Publisher : IGI Global
ISBN 13 : 1799887952
Total Pages : 349 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applied Big Data Analytics and Its Role in COVID-19 Research by : Zhao, Peng

Download or read book Applied Big Data Analytics and Its Role in COVID-19 Research written by Zhao, Peng and published by IGI Global. This book was released on 2022-04-29 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474704
Total Pages : 232 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Computational Modeling of Infectious Disease

Author : Chris von Csefalvay
Publisher : Elsevier
ISBN 13 : 0323958370
Total Pages : 478 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Computational Modeling of Infectious Disease by : Chris von Csefalvay

Download or read book Computational Modeling of Infectious Disease written by Chris von Csefalvay and published by Elsevier. This book was released on 2023-02-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world. Connects computational infectious disease analysis to state-of-the-art data science Conveys ideas on epidemiology and infectious disease modeling in a clear, accessible way Provides code examples to elucidate best practices

Enabling Healthcare 4.0 for Pandemics

Author : Abhinav Juneja
Publisher : John Wiley & Sons
ISBN 13 : 111976906X
Total Pages : 352 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Enabling Healthcare 4.0 for Pandemics by : Abhinav Juneja

Download or read book Enabling Healthcare 4.0 for Pandemics written by Abhinav Juneja and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics. In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics. In this book, the reader will find: State-of-the-art technological advancements in pandemic management; AI and ML-based identification and forecasting of pandemic spread; Smart IoT-based ecosystem for pandemic scenario. Audience The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.

Computational Modelling and Imaging for SARS-CoV-2 and COVID-19

Author : S. Prabha
Publisher : CRC Press
ISBN 13 : 9781003142584
Total Pages : 146 pages
Book Rating : 4.1/5 (425 download)

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Book Synopsis Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 by : S. Prabha

Download or read book Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 written by S. Prabha and published by CRC Press. This book was released on 2021-09 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents 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"--

Data Analytics for Pandemics

Author : Gitanjali Rahul Shinde
Publisher : CRC Press
ISBN 13 : 1000204413
Total Pages : 68 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Data Analytics for Pandemics by : Gitanjali Rahul Shinde

Download or read book Data Analytics for Pandemics written by Gitanjali Rahul Shinde and published by CRC Press. This book was released on 2020-08-30 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.

Intelligent Data Analysis for COVID-19 Pandemic

Author : M. Niranjanamurthy
Publisher : Springer Nature
ISBN 13 : 9811615748
Total Pages : 370 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Data Analysis for COVID-19 Pandemic by : M. Niranjanamurthy

Download or read book Intelligent Data Analysis for COVID-19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Computational Intelligence Techniques for Combating COVID-19

Author : Sandeep Kautish
Publisher : Springer Nature
ISBN 13 : 3030689360
Total Pages : 392 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Intelligence Techniques for Combating COVID-19 by : Sandeep Kautish

Download or read book Computational Intelligence Techniques for Combating COVID-19 written by Sandeep Kautish and published by Springer Nature. This book was released on 2021 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

Mathematical and Computational Modelling of Covid-19 Transmission

Author : Mandeep Mittal
Publisher : CRC Press
ISBN 13 : 1003807127
Total Pages : 337 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Mathematical and Computational Modelling of Covid-19 Transmission by : Mandeep Mittal

Download or read book Mathematical and Computational Modelling of Covid-19 Transmission written by Mandeep Mittal and published by CRC Press. This book was released on 2023-12-07 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infectious diseases are leading threats and are of highest risk to the human population globally. Over the last two years, we saw the transmission of Covid-19. Millions of people died or were forced to live with a disability. Mathematical models are effective tools that enable analysis of relevant information, simulate the related process and evaluate beneficial results. They can help to make rational decisions to lead toward a healthy society. Formulation of mathematical models for a pollution-free environment is also very important for society. To determine the system which can be modelled, we need to formulate the basic context of the model underlying some necessary assumptions. This describes our beliefs in terms of the mathematical language of how the world functions. This book addresses issues during the Covid phase and post-Covid phase. It analyzes transmission, impact of coinfections, and vaccination as a control or to decrease the intensity of infection. It also talks about the violence and unemployment problems occurring during the post-Covid period. This book will help societal stakeholders to resume normality slowly and steadily.

Quality of Work-Life During Pandemic

Author : Gitanjali Rahul Shinde
Publisher : Springer Nature
ISBN 13 : 9811675236
Total Pages : 127 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Quality of Work-Life During Pandemic by : Gitanjali Rahul Shinde

Download or read book Quality of Work-Life During Pandemic written by Gitanjali Rahul Shinde and published by Springer Nature. This book was released on 2021-11-22 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.