LEADER 03411nam 2200601 450 001 9910659491803321 005 20240130144821.0 010 $a3-031-18053-4 024 7 $a10.1007/978-3-031-18053-8 035 $a(CKB)5700000000346844 035 $a(MiAaPQ)EBC7207020 035 $a(Au-PeEL)EBL7207020 035 $a(DE-He213)978-3-031-18053-8 035 $a(OCoLC)1371752998 035 $a(BIP)085591714 035 $a(PPN)268209219 035 $a(EXLCZ)995700000000346844 100 $a20230522d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aModeling and simulation of infectious diseases $emicroscale transmission, decontamination and macroscale propagation /$fTarek I. Zohdi 205 $a1st ed. 2022. 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (123 pages) 311 $a3-031-18052-6 327 $aPreliminaries: 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. 330 $aThe 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. 606 $aCommunicable diseases$xMathematical models 606 $aCOVID-19 Pandemic, 2020- 606 $aMalalties infeccioses$2thub 606 $aPandèmia de COVID-19, 2020-$2thub 606 $aModels matemàtics$2thub 608 $aLlibres electrònics$2thub 610 $aPublic Health 610 $aMedical 615 0$aCommunicable diseases$xMathematical models. 615 0$aCOVID-19 Pandemic, 2020- 615 7$aMalalties infeccioses 615 7$aPandèmia de COVID-19, 2020- 615 7$aModels matemàtics 676 $a616.9 700 $aZohdi$b Tarek I.$0473670 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910659491803321 996 $aModeling and simulation of infectious diseases$93587064 997 $aUNINA