語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Mathematical analysis for transmissi...
~
Mittal, Mandeep.
Mathematical analysis for transmission of COVID-19
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mathematical analysis for transmission of COVID-19edited by Nita H. Shah, Mandeep Mittal.
其他作者:
Shah, Nita H.
出版者:
Singapore :Springer Singapore :2021.
面頁冊數:
viii, 361 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
COVID-19 (Disease)Epidemiology
電子資源:
https://doi.org/10.1007/978-981-33-6264-2
ISBN:
9789813362642$q(electronic bk.)
Mathematical analysis for transmission of COVID-19
Mathematical analysis for transmission of COVID-19
[electronic resource] /edited by Nita H. Shah, Mandeep Mittal. - Singapore :Springer Singapore :2021. - viii, 361 p. :ill., digital ;24 cm. - Mathematical engineering,2192-4732. - Mathematical engineering..
Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.
This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.
ISBN: 9789813362642$q(electronic bk.)
Standard No.: 10.1007/978-981-33-6264-2doiSubjects--Topical Terms:
893755
COVID-19 (Disease)
--Epidemiology
LC Class. No.: RA644.C67 / M384 2021
Dewey Class. No.: 614.592414
Mathematical analysis for transmission of COVID-19
LDR
:02357nmm a2200337 a 4500
001
599553
003
DE-He213
005
20210706105622.0
006
m d
007
cr nn 008maaau
008
211027s2021 si s 0 eng d
020
$a
9789813362642$q(electronic bk.)
020
$a
9789813362635$q(paper)
024
7
$a
10.1007/978-981-33-6264-2
$2
doi
035
$a
978-981-33-6264-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RA644.C67
$b
M384 2021
072
7
$a
TBJ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
TBJ
$2
thema
082
0 4
$a
614.592414
$2
23
090
$a
RA644.C67
$b
M426 2021
245
0 0
$a
Mathematical analysis for transmission of COVID-19
$h
[electronic resource] /
$c
edited by Nita H. Shah, Mandeep Mittal.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
viii, 361 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Mathematical engineering,
$x
2192-4732
505
0
$a
Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.
520
$a
This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.
650
0
$a
COVID-19 (Disease)
$x
Epidemiology
$x
Mathematical models.
$3
893755
650
1 4
$a
Mathematical and Computational Engineering.
$3
775095
650
2 4
$a
Applied Statistics.
$3
805583
700
1
$a
Shah, Nita H.
$3
883954
700
1
$a
Mittal, Mandeep.
$3
883955
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Mathematical engineering.
$3
675334
856
4 0
$u
https://doi.org/10.1007/978-981-33-6264-2
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000198177
電子館藏
1圖書
電子書
EB RA644.C67 M426 2021 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-981-33-6264-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入