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Modeling and simulation of infectiou...
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Zohdi, Tarek I.
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Modeling and simulation of infectious diseases = microscale transmission, decontamination and macroscale propagation /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modeling and simulation of infectious diseases/ by Tarek I. Zohdi.
Reminder of title:
microscale transmission, decontamination and macroscale propagation /
Author:
Zohdi, Tarek I.
Published:
Cham :Springer International Publishing : : 2022.,
Description:
xx, 111 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Communicable diseases - Mathematical models. -
Online resource:
https://doi.org/10.1007/978-3-031-18053-8
ISBN:
9783031180538
Modeling and simulation of infectious diseases = microscale transmission, decontamination and macroscale propagation /
Zohdi, Tarek I.
Modeling and simulation of infectious diseases
microscale 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
Standard No.: 10.1007/978-3-031-18053-8doiSubjects--Topical Terms:
736933
Communicable diseases
--Mathematical models.
LC Class. No.: RA643 / .Z64 2022
Dewey Class. No.: 616.0015118
Modeling and simulation of infectious diseases = microscale transmission, decontamination and macroscale propagation /
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microscale transmission, decontamination and macroscale propagation /
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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.
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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.
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EB RA643 .Z64 2022
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