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Global COVID-19 Research and Modeling A Historical Record /

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....

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Bibliographic Details
Main Author: Cao, Longbing (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Data Analytics,
Subjects:
Artificial intelligence > Data processing.
Artificial intelligence.
Medical care.
Data Science.
Artificial Intelligence.
Health Care.
Online Access:https://doi.org/10.1007/978-981-99-9915-6
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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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