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Titlebook: Epidemics; Models and Data Usin Ottar N. Bj?rnstad Book 2023Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive

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發(fā)表于 2025-3-21 19:24:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Epidemics
副標(biāo)題Models and Data Usin
編輯Ottar N. Bj?rnstad
視頻videohttp://file.papertrans.cn/314/313146/313146.mp4
概述Presents clearer infectious disease dynamics in the face of changing demographics and interventions.Offers an in-depth guide to understand epidemics and infectious disease dynamics in space and time.I
叢書名稱Use R!
圖書封面Titlebook: Epidemics; Models and Data Usin Ottar N. Bj?rnstad Book 2023Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive
描述This book is designed to be a practical study in infectious disease dynamics. It offers an easy-to-follow implementation and analysis of mathematical epidemiology. It focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in consumer-resource metapopulations. Some infections are prevalent among the young, some among the old and some are age-invariant. Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing..Models and ‘models-with-data’ have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control. Using mathematical models to understand infectious disease, dynamics has a very richhistory in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics: Models and D
出版日期Book 2023Latest edition
關(guān)鍵詞Infectious Disease Dynamics; Epidemics; Disease Modelling; Public Health Analysis; Contagions; Nonlinear
版次2
doihttps://doi.org/10.1007/978-3-031-12056-5
isbn_softcover978-3-031-12055-8
isbn_ebook978-3-031-12056-5Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Epidemics影響因子(影響力)




書目名稱Epidemics影響因子(影響力)學(xué)科排名




書目名稱Epidemics網(wǎng)絡(luò)公開度




書目名稱Epidemics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Epidemics被引頻次




書目名稱Epidemics被引頻次學(xué)科排名




書目名稱Epidemics年度引用




書目名稱Epidemics年度引用學(xué)科排名




書目名稱Epidemics讀者反饋




書目名稱Epidemics讀者反饋學(xué)科排名




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發(fā)表于 2025-3-21 21:28:55 | 只看該作者
Book 2023Latest editionng mathematical models to understand infectious disease, dynamics has a very richhistory in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics: Models and D
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Ivan M. Richards,Jia En Chin,Karen L. Leachtal modeling of transmission dynamics. This is followed by a chapter with in-depth discussion of the reproduction number, .., which is the most important quantity for understanding epidemics of infectious agents. The subsequent chapters detail the importance of age structure and seasonality in shapi
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Respiratory Pharmacology and Pharmacotherapyompletely susceptible host population. .. plays a critical role for a number of aspects of disease dynamics and is therefore the focus of much study in historical and contemporary infectious disease dynamics (Heesterbeek & Dietz, .).
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https://doi.org/10.1007/978-3-540-77596-6ity may build up with age, how age-specific heterogeneities may affect this, and how we can use immune data to back-calculate key dynamic quantities. There are two main branches of the adaptive immune system—the part of the immune system that helps to build a repertoire for protection against reinfe
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https://doi.org/10.1007/978-3-540-69334-5ve stages outside the host and via host demographies from changing birth rates, carrying capacitities, social organization, etc. Sometimes such influences have relatively subtle consequences (e.g., slight changes in ..) as is likely the effect of absolute humidity oninfluenza transmission (Lowen et
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