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Epidemic Analytics for Decision Supports in COVID19 Crisis
Paperback
Business GeneralMedical ReferenceTechnology & Engineering
ISBN13: 9783030990213
Publisher: Springer
Published: May 22 2023
Pages: 158
Weight: 0.53
Height: 0.35 Width: 6.14 Depth: 9.21
Language: English
Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.
1 different editions
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