Predictive models for decision support in the COVID-19 crisis

• Material Type: 図書
• ISBN: 9783030619121; 9783030619138 electronic book; 3030619133 electronic book
• ISBN (error code): 3030619125
• ISSN (series): 2191-530X
• Title: Predictive models for decision support in the COVID-19 crisis
• Author/Editor: Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James, Fong
• Series Title: SpringerBriefs in applied sciences and technology
• Title Heading: SpringerBriefs in applied sciences and technology
• Author Heading: Marques, Joao Alexandre Lobo
• Publication, Distribution, etc.: Cham, Switzerland : Springer (出版)
• Publication Date: [2021]
• Publication Date (W3CDTF): 2021
• Extent: vii, 98 pages
• Size: 24 cm
• Place of Publication (Country Code): CH
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease)--Epidemiology; Epidemiology--Statistical methods; Predictive analytics; Medical policy--Decision making; Economic policy--Decision making
• LCC: RA644.C67
• DDC: 362.1962/414
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Holding library: 国立国会図書館
• Call No.: EG244-D55
• Related Material (DOI): 10.1007/978-3-030-61913-8
• 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): 031261887; http://id.ndl.go.jp/bib/031261887
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Prediction for Decision Support During the COVID-19 PandemicEpidemiology Compartmental Models-SIR, SEIR, and SEIR with InterventionForecasting COVID-1...
• Summary, etc.: COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting ...