Global COVID-19 Research and Modeling (Record no. 187539)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 978-981-99-9915-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130335.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819999156
-- 978-981-99-9915-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-99-9915-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q336
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM021000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cao, Longbing.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Global COVID-19 Research and Modeling
Medium [electronic resource] :
Remainder of title A Historical Record /
Statement of responsibility, etc by Longbing Cao.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXXVII, 383 p. 1 illus.
Other physical details online resource.
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-- computer
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-- online resource
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-- text file
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490 1# - SERIES STATEMENT
Series statement Data Analytics,
International Standard Serial Number 2520-1867
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical care.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Health Care.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789819999149
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789819999163
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789819999170
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Data Analytics,
-- 2520-1867
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-99-9915-6">https://doi.org/10.1007/978-981-99-9915-6</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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