國立高雄大學圖資館 |

登入

回首頁 到查詢結果 [ subject:"Biological Models." ]

Modeling and simulation of infectious diseasesmicroscale transmission, decontamination and macroscale propagation /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling and simulation of infectious diseasesby Tarek I. Zohdi.
其他題名:	microscale transmission, decontamination and macroscale propagation /
作者:	Zohdi, Tarek I.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xx, 111 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Communicable diseasesMathematical models.
電子資源:	https://doi.org/10.1007/978-3-031-18053-8
ISBN:	9783031180538$q(electronic bk.)

Modeling and simulation of infectious diseasesmicroscale transmission, decontamination and macroscale propagation /
Zohdi, Tarek I.

Modeling and simulation of infectious diseasesmicroscale transmission, decontamination and macroscale propagation /[electronic resource] :by Tarek I. Zohdi. - Cham :Springer International Publishing :2022. - xx, 111 p. :ill. (some col.), digital ;24 cm.

Preliminaries: Basic Mathematics, Optimization and Machine-Learning -- Macroscale Disease Propagation -- Microscale Disease Transmission and Ventilation System Design -- Ultraviolet Viral Decontamination -- Vaccine Design and Immune-System Response -- Epilogue.

The COVID-19 pandemic that started in 2019-2020 has led to a gigantic increase in modeling and simulation of infectious diseases. There are numerous topics associated with this epoch-changing event, such as (a) disease propagation, (b) transmission, (c) decontamination, and (d) vaccines. This is an evolving field. The targeted objective of this book is to expose researchers to key topics in this area, in a very concise manner. The topics selected for discussion have evolved with the progression of the pandemic. Beyond the introductory chapter on basic mathematics, optimization, and machine learning, the book covers four themes in modeling and simulation infectious diseases, specifically: Part 1: Macroscale disease propagation, Part 2: Microscale disease transmission and ventilation system design, Part 3: Ultraviolet viral decontamination, and Part 4: Vaccine design and immune response. It is important to emphasize that the rapid speed at which the simulations operate makes the presented computational tools easily deployable as digital twins, i.e., digital replicas of complex systems that can be inexpensively and safely optimized in a virtual setting and then used in the physical world afterward, thus reducing the costs of experiments and also accelerating development of new technologies.

ISBN: 9783031180538$q(electronic bk.)

Standard No.: 10.1007/978-3-031-18053-8doiSubjects--Topical Terms:

338149
Communicable diseases
--Mathematical models.

LC Class. No.: RA643 / .Z64 2022

Dewey Class. No.: 616.0015118

Modeling and simulation of infectious diseasesmicroscale transmission, decontamination and macroscale propagation /
LDR:02626nmm a2200325 a 4500 001 634559
003 DE-He213
005 20230209073723.0
006 m d
007 cr nn 008maaau
008 230529s2022 sz s 0 eng d
020 $a 9783031180538$q(electronic bk.)
020 $a 9783031180521$q(paper)
024 7 $a 10.1007/978-3-031-18053-8 $2 doi
035 $a 978-3-031-18053-8
040 $a GP $c GP
041 0 $a eng
050 4 $a RA643 $b .Z64 2022
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 616.0015118 $2 23
090 $a RA643 $b .Z85 2022
100 1 $a Zohdi, Tarek I. $3 561729
245 1 0 $a Modeling and simulation of infectious diseases $h [electronic resource] : $b microscale transmission, decontamination and macroscale propagation / $c by Tarek I. Zohdi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xx, 111 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Preliminaries: Basic Mathematics, Optimization and Machine-Learning -- Macroscale Disease Propagation -- Microscale Disease Transmission and Ventilation System Design -- Ultraviolet Viral Decontamination -- Vaccine Design and Immune-System Response -- Epilogue.
520 $a The COVID-19 pandemic that started in 2019-2020 has led to a gigantic increase in modeling and simulation of infectious diseases. There are numerous topics associated with this epoch-changing event, such as (a) disease propagation, (b) transmission, (c) decontamination, and (d) vaccines. This is an evolving field. The targeted objective of this book is to expose researchers to key topics in this area, in a very concise manner. The topics selected for discussion have evolved with the progression of the pandemic. Beyond the introductory chapter on basic mathematics, optimization, and machine learning, the book covers four themes in modeling and simulation infectious diseases, specifically: Part 1: Macroscale disease propagation, Part 2: Microscale disease transmission and ventilation system design, Part 3: Ultraviolet viral decontamination, and Part 4: Vaccine design and immune response. It is important to emphasize that the rapid speed at which the simulations operate makes the presented computational tools easily deployable as digital twins, i.e., digital replicas of complex systems that can be inexpensively and safely optimized in a virtual setting and then used in the physical world afterward, thus reducing the costs of experiments and also accelerating development of new technologies.
650 0 $a Communicable diseases $x Mathematical models. $3 338149
650 0 $a COVID-19 Pandemic, 2020- $x Mathematical models. $3 895419
650 1 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Mathematical and Computational Engineering Applications. $3 915034
650 2 4 $a Disease Models. $3 923738
650 2 4 $a Biological Models. $3 933409
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-18053-8
950 $a Mathematics and Statistics (SpringerNature-11649)