04254nam a22005415i 4500 978-981-99-9915-6 DE-He213 20251030111754.0 cr nn 008mamaa 240329s2024 si | s |||| 0|eng d 9789819999156 978-981-99-9915-6 10.1007/978-981-99-9915-6 doi Q336 UN bicssc COM021000 bisacsh UN thema Cao, Longbing. author. aut http://id.loc.gov/vocabulary/relators/aut 74366 Global COVID-19 Research and Modeling [electronic resource] : A Historical Record / by Longbing Cao. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXXVII, 383 p. 1 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Data Analytics, 2520-1867 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. 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. Artificial intelligence Data processing. Artificial intelligence. 58441 Medical care. Data Science. Artificial Intelligence. 58441 Health Care. 66563 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819999149 Printed edition: 9789819999163 Printed edition: 9789819999170 Data Analytics, 2520-1867 74367 https://doi.org/10.1007/978-981-99-9915-6 ZDB-2-SCS ZDB-2-SXCS 58802 58802