Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
COVID-19 pandemic dynamicsmathematic...
~
Nesteruk, Igor.
COVID-19 pandemic dynamicsmathematical simulations /
Record Type:
Electronic resources : Monograph/item
Title/Author:
COVID-19 pandemic dynamicsby Igor Nesteruk.
Reminder of title:
mathematical simulations /
Author:
Nesteruk, Igor.
Published:
Singapore :Springer Singapore :2021.
Description:
xii, 172 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
COVID-19 Pandemic, 2020-Mathematical models.
Online resource:
https://doi.org/10.1007/978-981-33-6416-5
ISBN:
9789813364165$q(electronic bk.)
COVID-19 pandemic dynamicsmathematical simulations /
Nesteruk, Igor.
COVID-19 pandemic dynamics
mathematical simulations /[electronic resource] :by Igor Nesteruk. - Singapore :Springer Singapore :2021. - xii, 172 p. :ill., digital ;24 cm.
Introduction -- Data used for calculations, comparisons and verifications -- Classical SIR model and the exact solution of differential equations -- Results of SIR simulation for the pandemic dynamics in different countries and regions -- Procedures of the parameter identification for the waves of epidemics -- Conclusions.
This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics.
ISBN: 9789813364165$q(electronic bk.)
Standard No.: 10.1007/978-981-33-6416-5doiSubjects--Topical Terms:
895419
COVID-19 Pandemic, 2020-
--Mathematical models.
LC Class. No.: RA644.C67
Dewey Class. No.: 614.592414
COVID-19 pandemic dynamicsmathematical simulations /
LDR
:02425nmm a2200325 a 4500
001
600750
003
DE-He213
005
20210617105049.0
006
m d
007
cr nn 008maaau
008
211104s2021 si s 0 eng d
020
$a
9789813364165$q(electronic bk.)
020
$a
9789813364158$q(paper)
024
7
$a
10.1007/978-981-33-6416-5
$2
doi
035
$a
978-981-33-6416-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RA644.C67
072
7
$a
PHU
$2
bicssc
072
7
$a
SCI040000
$2
bisacsh
072
7
$a
PHU
$2
thema
082
0 4
$a
614.592414
$2
23
090
$a
RA644.C67
$b
N468 2021
100
1
$a
Nesteruk, Igor.
$3
559842
245
1 0
$a
COVID-19 pandemic dynamics
$h
[electronic resource] :
$b
mathematical simulations /
$c
by Igor Nesteruk.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
xii, 172 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Introduction -- Data used for calculations, comparisons and verifications -- Classical SIR model and the exact solution of differential equations -- Results of SIR simulation for the pandemic dynamics in different countries and regions -- Procedures of the parameter identification for the waves of epidemics -- Conclusions.
520
$a
This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics.
650
0
$a
COVID-19 Pandemic, 2020-
$x
Mathematical models.
$3
895419
650
0
$a
COVID-19 Pandemic, 2020-
$x
Forecasting.
$3
895420
650
1 4
$a
Theoretical, Mathematical and Computational Physics.
$3
376743
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
274061
650
2 4
$a
Applications of Mathematics.
$3
273744
650
2 4
$a
Statistical Theory and Methods.
$3
274054
650
2 4
$a
Health Promotion and Disease Prevention.
$3
274213
650
2 4
$a
Public Health.
$3
320661
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-33-6416-5
950
$a
Physics and Astronomy (SpringerNature-11651)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000199284
電子館藏
1圖書
電子書
EB RA644.C67 N468 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-981-33-6416-5
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login