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Titlebook: Mathematics of Public Health; Mathematical Modelli Jummy David,Jianhong Wu Book 2023 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 18:40:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Mathematics of Public Health
副標(biāo)題Mathematical Modelli
編輯Jummy David,Jianhong Wu
視頻videohttp://file.papertrans.cn/627/626971/626971.mp4
概述Introduces readers to basic epidemiology and relevant control and prevention issues of prototypic diseases.Provides a great resource for newcomers in the field to see the real-world applicability of m
叢書(shū)名稱Fields Institute Communications
圖書(shū)封面Titlebook: Mathematics of Public Health; Mathematical Modelli Jummy David,Jianhong Wu Book 2023 The Editor(s) (if applicable) and The Author(s), under
描述.This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease?modelling technologies of the next generation and disseminating new developments in modelling methodologies?and simulation techniques. These methodologies are important for?training and research in communicable diseases and can be applied to other?threats to human health. ?The contributions contained in this collection/book cover a range of?modelling techniques that have been and may be used to support decision-making on critical health related issues such as:...Resourceallocation..Impactof climate change on communicable diseases..Interactionof human behaviour change, and disease spread..Diseaseoutbreak trajectories projection..Publichealth interventions evaluation..Preparednessand mitigation of emerging and re-emerging infectious diseases outbreaks..Developmentof vaccines and decisions around vaccine allocation and optimization. . The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares comp
出版日期Book 2023
關(guān)鍵詞modeling infectious diseases; climate change; vaccine development; Covid-19; opioid epidemic; mathematica
版次1
doihttps://doi.org/10.1007/978-3-031-40805-2
isbn_softcover978-3-031-40807-6
isbn_ebook978-3-031-40805-2Series ISSN 1069-5265 Series E-ISSN 2194-1564
issn_series 1069-5265
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-22 00:14:27 | 只看該作者
1069-5265 ealth issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares comp978-3-031-40807-6978-3-031-40805-2Series ISSN 1069-5265 Series E-ISSN 2194-1564
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Agent-Based Modeling and Its Trade-Offs: An Introduction and Examples, system behavior..In this chapter, basic characteristics of agent-based models are introduced; advantages and disadvantages of agent-based models, as compared with compartmental models, are discussed; and two example agent-based infectious disease models are reviewed.
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Long-Term Dynamics of COVID-19 in a Multi-strain Model,tes, without achieving stable endemicity within the next 3 years. The peak and rate of resurgence of infection waves can be reduced by continuous boosting of immunity with efficacious vaccines, while proactive measures are employed to encourage booster uptake.
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Jummy David,Gabrielle Brankston,Idriss Sekkak,Sungju Moon,Xiaoyan Li,Sana Jahedi,Zahra Mohammadi,Ao t is primarily a valuable guide?for?researchers working with reaction-diffusion systems ?and those developing the theoretical aspects of conditional symmetry conception, parts of the book can also be used in master’s level mathematical biology courses..978-3-319-65465-2978-3-319-65467-6Series ISSN 0075-8434 Series E-ISSN 1617-9692
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