Global COVID-19 Research and Modeling

A Historical Record

AvLongbing Cao

Häftad, Engelska, 2025

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Beskrivning

This book provides answers to fundamental and challenging questions regarding the global response to COVID-19. It creates a historical record of COVID-19 research conducted over the four years of the pandemic, with a focus on how researchers have responded, quantified, and modeled COVID-19 problems.

Produktinformation

Utgivningsdatum:2025-03-31
Mått:155 x 235 x 23 mm
Vikt:639 g
Format:Häftad
Språk:Engelska
Serie:Data Analytics
Antal sidor:383
Förlag:Springer Verlag, Singapore
ISBN:9789819999170

Utforska kategorier

Omvårdnad och medicinska stödfunktioner inom Medicin
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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.