國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

COVID-19 pandemic dynamicsmathematic...

Nesteruk, Igor.

COVID-19 pandemic dynamicsmathematical simulations /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	COVID-19 pandemic dynamicsby Igor Nesteruk.
其他題名:	mathematical simulations /
作者:	Nesteruk, Igor.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xii, 172 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	COVID-19 Pandemic, 2020-Mathematical models.
電子資源:	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 dynamicsmathematical 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)