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020 _a9789819999156
_9978-981-99-9915-6
024 7 _a10.1007/978-981-99-9915-6
_2doi
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072 7 _aCOM021000
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082 0 4 _a005.7
_223
100 1 _aCao, Longbing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aGlobal COVID-19 Research and Modeling
_h[electronic resource] :
_bA Historical Record /
_cby Longbing Cao.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXXXVII, 383 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aData Analytics,
_x2520-1867
505 0 _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.
520 _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.
650 0 _aArtificial intelligence
_xData processing.
650 0 _aArtificial intelligence.
650 0 _aMedical care.
650 1 4 _aData Science.
650 2 4 _aArtificial Intelligence.
650 2 4 _aHealth Care.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819999149
776 0 8 _iPrinted edition:
_z9789819999163
776 0 8 _iPrinted edition:
_z9789819999170
830 0 _aData Analytics,
_x2520-1867
856 4 0 _uhttps://doi.org/10.1007/978-981-99-9915-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c187539
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