LEADER 04191nam 22006015 450 001 9910847087103321 005 20240329144158.0 010 $a981-9999-15-4 024 7 $a10.1007/978-981-99-9915-6 035 $a(CKB)31253172400041 035 $a(MiAaPQ)EBC31266951 035 $a(Au-PeEL)EBL31266951 035 $a(MiAaPQ)EBC31233385 035 $a(Au-PeEL)EBL31233385 035 $a(DE-He213)978-981-99-9915-6 035 $a(EXLCZ)9931253172400041 100 $a20240329d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGlobal COVID-19 Research and Modeling $eA Historical Record /$fby Longbing Cao 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (409 pages) 225 1 $aData Analytics,$x2520-1867 311 $a981-9999-14-6 320 $aIncludes bibliographical references and index. 327 $aChapter 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. 330 $aThis book provides answers to fundamental and challenging questions regarding the global response to COVID-19. It creates a historical record of COVID-19 research conducted over the four years of the pandemic, with a focus on how researchers have responded, quantified, and modeled COVID-19 problems. Since mid-2021, we have diligently monitored and analyzed global scientific efforts in tackling COVID-19. Our comprehensive global endeavor involves collecting, processing, analyzing, and discovering COVID-19 related scientific literature in English since January 2020. This provides insights into how scientists across disciplines and almost every country and regions have fought against COVID-19. Additionally, we explore the quantification of COVID-19 problems and impacts through mathematics, AI, machine learning, data science, epidemiology, and domain knowledge. The book reports findings on publication quantities, impacts, collaborations, and correlations with the economy and infections globally, regionally, and country-wide. These results represent the first and only holistic and systematic studies aimed at scientifically understanding, quantifying, and containing the pandemic. We hope this comprehensive analysis will contribute to better preparedness, response, and management of future emergencies and inspire further research in infectious diseases. The book also serves as a valuable resource for research policy, funding management authorities, researchers, policy makers, and funding bodies involved in infectious disease management, public health, and emergency resilience. 410 0$aData Analytics,$x2520-1867 606 $aArtificial intelligence$xData processing 606 $aArtificial intelligence 606 $aMedical care 606 $aData Science 606 $aArtificial Intelligence 606 $aHealth Care 615 0$aArtificial intelligence$xData processing. 615 0$aArtificial intelligence. 615 0$aMedical care. 615 14$aData Science. 615 24$aArtificial Intelligence. 615 24$aHealth Care. 676 $a614.5924144 700 $aCao$b Longbing$f1969-$01759155 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910847087103321 996 $aGlobal COVID-19 Research and Modeling$94270355 997 $aUNINA