Global COVID-19 Research and Modeling: A Historical Record

Author:   Longbing Cao
Publisher:   Springer Verlag, Singapore
ISBN:  

9789819999170


Pages:   383
Publication Date:   31 March 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Global COVID-19 Research and Modeling: A Historical Record


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Author:   Longbing Cao
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819999170


ISBN 10:   9819999170
Pages:   383
Publication Date:   31 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1 COVID-19 Characteristics and Complexities.- Chapter 2 Review Objectives, Questions and Methods.- Chapter 3 Highlights of the Findings.- Chapter 4 Overall Publication Collection and Processing.- Chapter 5 COVID-19 Research Profile and Impact.- Chapter 6 G20 and OECD Research Profile and Impact.- Chapter 7 Correlations between Research, the Economy and Infection.- Chapter 8 Modeling Publication Collection and Processing.- Chapter 9 Modeling Research Profile and Impact.- Chapter 10 Modeling Methods.- Chapter 11 Modeling Intervention, Vaccination, Mutation and Ethnic Condition Influence on Resurgence.- Chapter 12 AISDR: AI and Data Science for Crisis and Disaster Resilience.- Chapter 13 Making Science Ready for Future Emergencies, Crises and Disasters.

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Prof Longbing Cao is the Distinguished Chair in Artificial Intelligence (AI) and an Australian Research Council Future Fellow (professor) at the School of Computing, Macquarie University, Australia. Before joining Macquarie, he was the Founding Director of the Advanced Analytics Institute at the University of Technology Sydney and was a chief technology officer. Prof Cao is an internationally active research leader in AI, data science, and machine learning in both research and practice. He chaired many ACM and IEEE chapters and task forces and served as general chairs, program chairs, and steering committee chairs of prestigious international conferences. He has served as editors-in-chief and on editorial boards of core AI and data science journals. His significant research leadership and socioeconomic benefits have been recognized by an individual Australia’s Eureka Prize and elected as an ACM Distinguished Scientist by ACM.

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