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1 online resource |
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text rdacontent |
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computer rdamedia |
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online resource rdacarrier |
| Contents |
1. Essentials of COVID-19 Coronaviruses <br>2. Molecular Docking Study of Transmembrane serine protease type-2 inhibitors for the treatment of covid-19<br>3. Gut-lung crosstalk in COVID-19 pathology and fatality rate<br>4. Data Sharing and Privacy Issues Arising with COVID-19 Data and Applications<br>5. COVID-19 Outlook in the United States of America: A Data Driven Thematic Approach<br>6. Artificial Intelligence and COVID-19: Fighting Pandemics<br>7. Data Science A Survey on Statistical Analysis of the Latest Outbreak of 2019 Pandemic Novel Corona virus Disease (COVID-19) using ANOVA<br>8. Application of Big Data in the COVID-19 Pandemic<br>9. Artificial Intelligence based Solutions for COVID-19<br>10. Telemedicine applications for pandemic diseases with a focus on COVID-19<br>11. Impact of COVID-19 and Lockdown Policies on Farming, Food Security and Agribusiness in West Africa<br>12. Study and Impact Analysis of COVID-19 Pandemic Clinical Data on Infection Spreading<br>13. Towards Analyzing the Impact of HealthCare Treatments in Industry 4.0 Environment -- A self-care case study during Covid-19 Outbreak<br>14. Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay<br>15. The Role of Societal Research and Development Center in Analyzing Society in Pandemic Times<br>16. Modelling and Predicting the Spread of COVID-19: A Continental Analysis<br>17. Applications of BIM for Disease Spread Assessment due to the Organisation of Building Artefacts<br>18. COVID-19 DIAGNOSIS-MYTHS AND PROTOCOLS<br>19. Quarantine within Quarantine: COVID-19 and GIS Scenario Dynamics Modelling in Tasmania, Australia<br>20. Essentials of COVID-19 and Treatment Approaches<br>21. Coronavirus Epidemic and Its Social / Mental Dimensions<br>22. Coronavirus: A Scientometric Study of World Research Publications<br>23. The Effects of COVID-19 Pandemic on Western Balkan Financial Markets<br>24. Prioritization of health emergency research and disaster preparedness: a systematic assessment of corona virus disease 2019 (COVID-19) pandemic<br>25. A Review on Epidemiology, Genomic Characteristics, Spread and Treatments of COVID-19<br>26. Control of antibiotic resistance and super infections as a strategy to manage COVID-19 deaths<br>27. Assessment of global research trends in the application of data science, deep and machine learning to COVID-19 pandemic<br>28. Identification of lead inhibitors of TMPRSS2 isoform 1 of SARS-CoV-2 target using Neural Network, Random Forest and molecular docking<br>29. The linkage between epidemic of COVID-19 and oil prices: Case of Saudi Arabia, January 22 -- April 17<br>30. Role of Big Geospatial Data in the COVID-19 Crisis<br>31. COVID-19: Will it be a Game Changer in Higher Education in India?<br>32. Are Northern and Southern Regions equally affected by the COVID-19 Pandemic? Empirical Evidence from Nigeria<br>33. Covid-19 lethality reduction using Artificial Intelligence Solutions derived from Telecommunications Systems<br>34. The significance of Daily Increase and Mortality Cases due to COVID-19 in some African Countries<br>35. Data Interpretation Leading to Image Processing: A Hybrid Perspective to A Global Pandemic- COVID19<br>36. COVID-19: Monitoring the pandemic in India<br>37. Potential Antiviral Therapies for Corona Virus Disease (COVID-19) |
| Summary |
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. |
| Subject |
COVID-19 (Disease) -- Data processing.
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Medical mapping -- Data processing.
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COVID-19 -- Informatique.
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Cartographie médicale -- Informatique.
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COVID-19 (Disease) -- Data processing
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| Added Author |
Kose, Utku, 1985- editor.
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Gupta, Deepak, Ph.D., editor.
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Albuquerque, Victor Hugo Costa de, editor.
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Khanna, Ashish, editor.
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| Other Form: |
Print version: 9780128245361 |
| ISBN |
9780128245378 (e-book) |
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0128245379 (e-book) |
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9780323907705 (ePub ebook) |
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0323907709 (ePub ebook) |
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9780128245361 (pbk.) |
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0128245360 (pbk.) |
| Standard No. |
UKMGB 020097574 |
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UKMGB 020291262 |
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AU@ 000070169266 |
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