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Epidemic Analytics for Decision Supports in COVID19 Crisis
Marques, Joao Alexandre Lobo1; Fong, Simon2
Subtype著Authored
2022-07
PublisherSpringer
Publication PlaceSwitzerland
Abstract
  • Presents data analytics models used during the Covid-19 pandemic

  • Compares the efficacy of the models discusses, and their limitations

  • Relevant to those in healthcare industries and academia

KeywordAnalytics Models Decision Support Covid19 Crisis Epidemiologic Models Compartmental Simulation Models Monte-carlo Simulation Models Outbreak Analytics Epidemiological Analysis Epidemic Analytics Coronavirus
ISBN978-3-030-95280-8
DOI10.1007/978-3-030-95281-5
URLView the original
Language英語English
Indexed ByBKCI-S
Scopus ID2-s2.0-85160169513
Fulltext Access
Citation statistics
Document TypeBook
CollectionFaculty of Science and Technology
Affiliation1.University of Saint Joseph, Macau, China
2.University of Macau, Macau SAR
Recommended Citation
GB/T 7714
Marques, Joao Alexandre Lobo,Fong, Simon. Epidemic Analytics for Decision Supports in COVID19 Crisis[M]. Switzerland:Springer, 2022.
APA Marques, Joao Alexandre Lobo., & Fong, Simon (2022). Epidemic Analytics for Decision Supports in COVID19 Crisis. Springer.
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