Global COVID-19 Research and Modeling : A Historical Record / by Longbing Cao.

Format:

Book

Author/Creator:

Cao, Longbing, 1969- author.

Series:

Data Analytics, 2520-1867

Language:

English

Subjects (All):

Artificial intelligence--Data processing.

Artificial intelligence.

Medical care.

Data Science.

Artificial Intelligence.

Health Care.

Local Subjects:

Data Science.

Artificial Intelligence.

Health Care.

Physical Description:

1 online resource (409 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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. Since mid-2021, we have diligently monitored and analyzed global scientific efforts in tackling COVID-19. Our comprehensive global endeavor involves collecting, processing, analyzing, and discovering COVID-19 related scientific literature in English since January 2020. This provides insights into how scientists across disciplines and almost every country and regions have fought against COVID-19. Additionally, we explore the quantification of COVID-19 problems and impacts through mathematics, AI, machine learning, data science, epidemiology, and domain knowledge. The book reports findings on publication quantities, impacts, collaborations, and correlations with the economy and infections globally, regionally, and country-wide. These results represent the first and only holistic and systematic studies aimed at scientifically understanding, quantifying, and containing the pandemic. We hope this comprehensive analysis will contribute to better preparedness, response, and management of future emergencies and inspire further research in infectious diseases. The book also serves as a valuable resource for research policy, funding management authorities, researchers, policy makers, and funding bodies involved in infectious disease management, public health, and emergency resilience.

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.

Notes:

Includes bibliographical references and index.

ISBN:

981-9999-15-4