Analysis of infectious disease problems (Covid-19) and their global impact

• Material Type: 図書
• ISBN: 9789811624490 (hardback); 9811624496 (hardback)
• ISBN (error code): 9789811624506 (electronic bk.)
• ISSN (series): 2364-4036
• Title: Analysis of infectious disease problems (Covid-19) and their global impact
• Author/Editor: Praveen Agarwal, Juan J. Nieto, Michael Ruzhansky, Delfim F.M. Torres, editors
• Series Title: Infosys science foundation series in mathematical sciences
• Title Heading: Infosys Science Foundation series. Mathematical sciences
• Author Heading: Agarwal, Praveen
• Publication, Distribution, etc.: Singapore : Springer (出版)
• Publication Date: [2021]; 著作権日付 : ©2021
• Publication Date (W3CDTF): 2021
• Extent: xxiv, 627 pages
• Other physical details: color illustrations, tables
• Size: 25 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease)--Mathematical models; COVID-19--Modèles mathématiques
• LCC: RA644.C67
• DDC: 614.5/92414
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Holding library: 国立国会図書館
• Call No.: EG244-D160
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031502216; http://id.ndl.go.jp/bib/031502216
• OCLC No.: 1245657902; https://www.worldcat.org/oclc/1245657902
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Summary, etc.: This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in rec...