Computerized Systems For Diagnosis And Treatment Of Covid 19

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Computerized Systems for Diagnosis and Treatment of COVID-19

Author : Joao Alexandre Lobo Marques
Publisher : Springer Nature
ISBN 13 : 3031307887
Total Pages : 210 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Computerized Systems for Diagnosis and Treatment of COVID-19 by : Joao Alexandre Lobo Marques

Download or read book Computerized Systems for Diagnosis and Treatment of COVID-19 written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2023-06-26 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.

Health Informatics and Technological Solutions for Coronavirus (COVID-19)

Author : Suman Lata Tripathi
Publisher : CRC Press
ISBN 13 : 1000369730
Total Pages : 361 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Health Informatics and Technological Solutions for Coronavirus (COVID-19) by : Suman Lata Tripathi

Download or read book Health Informatics and Technological Solutions for Coronavirus (COVID-19) written by Suman Lata Tripathi and published by CRC Press. This book was released on 2021-04-13 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents statistical information, causes and impacts of coronavirus on populations, economics, and environment. The text includes machine learning and deep learning techniques to understand exponential behavior as well as predicting the future reachability of the COVID-19 outbreak. It discusses important concepts including smart sensors for early stage diagnosis, diagnosis of COVID-19 using low power IoT-enabled systems, biomedical imaging and sensor fusion, and electronic solutions for diagnosis, monitoring, and treatment of diseases. Aimed at graduate students and professionals in the field of electrical engineering, electronics and communications engineering, biomedical engineering and nanomaterials, this book discusses fundamental aspects and latest research in the field of COVID-19 covers diagnostics techniques in detail provides overview of the symptoms, preventions, and treatments related to COVID-19 discusses android-based mobile applications helpful in spreading awareness of COVID-19

Demystifying COVID-19: Understanding the Disease, Its Diagnosis and Treatment

Author : Ozgur Karcioglu
Publisher : Bentham Science Publishers
ISBN 13 : 1681087790
Total Pages : 413 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Demystifying COVID-19: Understanding the Disease, Its Diagnosis and Treatment by : Ozgur Karcioglu

Download or read book Demystifying COVID-19: Understanding the Disease, Its Diagnosis and Treatment written by Ozgur Karcioglu and published by Bentham Science Publishers. This book was released on 2021-05-24 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Computing Applications for COVID-19

Author : Tanzila Saba
Publisher : CRC Press
ISBN 13 : 1000423603
Total Pages : 322 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Computing Applications for COVID-19 by : Tanzila Saba

Download or read book Intelligent Computing Applications for COVID-19 written by Tanzila Saba and published by CRC Press. This book was released on 2021-09-07 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Author : Khalid Raza
Publisher : Springer Nature
ISBN 13 : 9811585342
Total Pages : 436 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by : Khalid Raza

Download or read book Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis written by Khalid Raza and published by Springer Nature. This book was released on 2020-10-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

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.

Cyber-Physical Systems

Author : Ramesh Poonia
Publisher : Academic Press
ISBN 13 : 0323853579
Total Pages : 278 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cyber-Physical Systems by : Ramesh Poonia

Download or read book Cyber-Physical Systems written by Ramesh Poonia and published by Academic Press. This book was released on 2021-10-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

Healthcare Informatics for Fighting COVID-19 and Future Epidemics

Author : Lalit Garg
Publisher : Springer Nature
ISBN 13 : 3030727521
Total Pages : 444 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Healthcare Informatics for Fighting COVID-19 and Future Epidemics by : Lalit Garg

Download or read book Healthcare Informatics for Fighting COVID-19 and Future Epidemics written by Lalit Garg and published by Springer Nature. This book was released on 2021-09-01 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.

COVID-19: Diagnosis and Management-Part I

Author : Neeraj Mittal
Publisher : Bentham Science Publishers
ISBN 13 : 1681088096
Total Pages : 223 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis COVID-19: Diagnosis and Management-Part I by : Neeraj Mittal

Download or read book COVID-19: Diagnosis and Management-Part I written by Neeraj Mittal and published by Bentham Science Publishers. This book was released on 2021-06-04 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The coronavirus disease 2019 (COVID-19) outbreak has spread throughout the globe and much time has passed since it was declared as a pandemic by the World Health Organization (WHO). COVID-19: Diagnosis and Management provides clinicians and scholars all the information on this disease in 2 volumes. Readers will find a concise and visual reference for this viral disease and will be equipped with the knowledge to assess and manage Sar-Cov-2 infection cases in clinical settings. This book is divided into two parts (I and II). Part I provides comprehensive information about 1) History of Coronaviruses, 2) Epidemiology of COVID-19, 3) Clinical presentation of this viral disease and 4) COVID-19 diagnosis. Part II covers broader topics about this communicable disease including 1) the prevention and treatment methodology, 2) mortality and long-term complications, 3) COVID-19 vaccines and future perspectives. Key Features: Covers all the aspects of COVID-19 making this a perfect textbook for virology and medical students. Chapter wise description and segregation of topics from pathophysiology to diagnosis and management of COVID-19. Six chapters in the first part which focus on clinical basics of COVID-19. Six chapters in the first part which cover broader topics for practical infection control. Multiple tables and figures which summarize and highlight important points. Presents a summary of the current standards for the evaluation and diagnosis of COVID-19. Features a detailed list of references, abbreviations, and symbols. This book is an essential textbook reference for medical students, scientists (virologists, pulmonologists) and public health officials who are required to understand COVDI-19 diagnosis and management as part of their clinical training or professional work.

Internet of Medical Things for Smart Healthcare

Author : Chinmay Chakraborty
Publisher : Springer Nature
ISBN 13 : 9811580979
Total Pages : 312 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Internet of Medical Things for Smart Healthcare by : Chinmay Chakraborty

Download or read book Internet of Medical Things for Smart Healthcare written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2020-11-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.

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

Author : S. Prabha
Publisher : CRC Press
ISBN 13 : 1000439356
Total Pages : 161 pages
Book Rating : 4.0/5 (4 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 2021-09-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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..

COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour

Author : Dr. Safaa Najah Saud Al-Humairi
Publisher : White Falcon Publishing
ISBN 13 : 9389932378
Total Pages : 35 pages
Book Rating : 4.3/5 (899 download)

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Book Synopsis COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour by : Dr. Safaa Najah Saud Al-Humairi

Download or read book COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour written by Dr. Safaa Najah Saud Al-Humairi and published by White Falcon Publishing. This book was released on 2020-06-30 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 is an infectious disease that has become the biggest threat in the year 2020 so far. It has dramatically changed the human life and the world economy. The world has traumatized by the terrifying effect of this virus. Not only the underdeveloped countries but also the most developed countries across the world, USA, Italy, Spain, Germany, to name of few, have witnessed the devastating effect of this lethal virus. Therefore, understanding the risk and management of this group of people is important for effective intervention and reducing the number of cases and fatality. In spite of this, COVID-19 imposes a heavy burden and costs on the health sector, and consequently, providing continuous monitoring by modern technologies will lead to a reduction of health costs and improve control of people's health practices, management, and prevention of this pandemic. Employing the mobile and advanced health systems to offer a remote medical diagnosis and monitoring system will significantly reduce the cost of health care and appropriate management of performance, especially in managing and spreading COVID-19. This book explores the effect of COVID-19 on human health in three essential cores: medically, technologically, and economically. The Internet of Things (IoT) and Artificial Intelligence (AI) includes three principal methods: monitoring, diagnosis, and treatment were discussed. IoT could achieve long-term connectivity between hospitals, patients, and healthcare equipment by integrating sensors, information technology, artificial intelligence, and innovative networking devices, which could significantly enhance current medical conditions. This book also provides a theoretical comparison between normal buying behaviour and panic buying behaviour. Subsequently, it explains the reasons for this behaviour. Not only reasons, but the book also classified products based on this consumer buying pattern during this pandemic. The book ends with a case study on the implementation of the AI algorithms in Malaysia and the achieved results were presented accordingly with a remarkable conclusion.

Artificial Intelligence in Covid-19

Author : Niklas Lidströmer
Publisher : Springer Nature
ISBN 13 : 303108506X
Total Pages : 346 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence in Covid-19 by : Niklas Lidströmer

Download or read book Artificial Intelligence in Covid-19 written by Niklas Lidströmer and published by Springer Nature. This book was released on 2022-11-09 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

Predictive and Preventive Measures for Covid-19 Pandemic

Author : Praveen Kumar Khosla
Publisher : Springer Nature
ISBN 13 : 9813342366
Total Pages : 335 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Predictive and Preventive Measures for Covid-19 Pandemic by : Praveen Kumar Khosla

Download or read book Predictive and Preventive Measures for Covid-19 Pandemic written by Praveen Kumar Khosla and published by Springer Nature. This book was released on 2021-01-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

Artificial Intelligence and Machine Learning for COVID-19

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030601889
Total Pages : 266 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence and Machine Learning for COVID-19 by : Fadi Al-Turjman

Download or read book Artificial Intelligence and Machine Learning for COVID-19 written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-02-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra
Publisher : Springer Nature
ISBN 13 : 981162786X
Total Pages : 324 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Impact of AI and Data Science in Response to Coronavirus Pandemic by : Sushruta Mishra

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.