図書

Predictive models for decision support in the COVID-19 crisis (SpringerBriefs in applied sciences and technology)

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Predictive models for decision support in the COVID-19 crisis

(SpringerBriefs in applied sciences and technology)

国立国会図書館請求記号
EG244-D55
国立国会図書館書誌ID
031261887
資料種別
図書
著者
Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James, Fong
出版者
Springer
出版年
[2021]
資料形態
ページ数・大きさ等
vii, 98 pages ; 24 cm
NDC
-
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資料詳細

内容細目:

Prediction for Decision Support During the COVID-19 PandemicEpidemiology Compartmental Models-SIR, SEIR, and SEIR with InterventionForecasting COVID-1...

要約等:

COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting ...

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書誌情報

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資料種別
図書
ISBN
9783030619121
9783030619138 electronic book
3030619133 electronic book
ISBN(エラーコード)
3030619125
ISSN(シリーズ)
2191-530X
著者・編者
Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James, Fong