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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書目名稱Epidemics影響因子(影響力)




書目名稱Epidemics影響因子(影響力)學科排名




書目名稱Epidemics網絡公開度




書目名稱Epidemics網絡公開度學科排名




書目名稱Epidemics被引頻次




書目名稱Epidemics被引頻次學科排名




書目名稱Epidemics年度引用




書目名稱Epidemics年度引用學科排名




書目名稱Epidemics讀者反饋




書目名稱Epidemics讀者反饋學科排名

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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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