Data Science for COVID-19: Volume 2: Societal and Medical Perspectives

Utku Kose , Deepak Gupta , Victor Hugo Costa de Albuquerque , Ashish Khanna 지음

elsevier 2021년 11월 03일 출간

작품소개

책소개

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

목차

1. Essentials of COVID-19 Coronaviruses 2. Molecular Docking Study of Transmembrane serine protease type-2 inhibitors for the treatment of covid-193. Gut-lung crosstalk in COVID-19 pathology and fatality rate4. Data Sharing and Privacy Issues Arising with COVID-19 Data and Applications5. COVID-19 Outlook in the United States of America: A Data Driven Thematic Approach6. Artificial Intelligence and COVID-19: Fighting Pandemics7. Data Science A Survey on Statistical Analysis of the Latest Outbreak of 2019 Pandemic Novel Corona virus Disease (COVID-19) using ANOVA8. Application of Big Data in the COVID-19 Pandemic9. Artificial Intelligence based Solutions for COVID-1910. Telemedicine applications for pandemic diseases with a focus on COVID-1911. Impact of COVID-19 and Lockdown Policies on Farming, Food Security and Agribusiness in West Africa12. Study and Impact Analysis of COVID-19 Pandemic Clinical Data on Infection Spreading13. Towards Analyzing the Impact of HealthCare Treatments in Industry 4.0 Environment - A self-care case study during Covid-19 Outbreak14. Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay15. The Role of Societal Research and Development Center in Analyzing Society in Pandemic Times16. Modelling and Predicting the Spread of COVID-19: A Continental Analysis17. Applications of BIM for Disease Spread Assessment due to the Organisation of Building Artefacts18. COVID-19 DIAGNOSIS-MYTHS AND PROTOCOLS19. Quarantine within Quarantine: COVID-19 and GIS Scenario Dynamics Modelling in Tasmania, Australia20. Essentials of COVID-19 and Treatment Approaches21. Coronavirus Epidemic and Its Social / Mental Dimensions22. Coronavirus: A Scientometric Study of World Research Publications23. The Effects of COVID-19 Pandemic on Western Balkan Financial Markets24. Prioritization of health emergency research and disaster preparedness: a systema

작가정보

저자(글) Utku Kose

저자(글) Deepak Gupta

저자(글) Victor Hugo Costa de Albuquerque

저자(글) Ashish Khanna