Jiajun Xian , Minghui Liu , Xuan Cheng , Meiyi Yang , Tianshu Xie , Xiaomin Wang , Ming Liu , Yi-Cheng Zhang , Dan Yang , Gui-Quan Sun , Jinlin Ye
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Modelling multiscale infectious disease in complex systems
The infectious diseases spreading in real-world complex systems are exceptionally rapid and present rich spatiotemporal evolution patterns and critical phenomena at different scales. Using mathematical modelling approaches to study multiscale infectious diseases is crucial for understanding the rules of infectious diseases. This review comprehensively summarizes the latest advancements in multiscale infectious disease modelling, including microcosmic, mesoscopic and macroscopic scales, respectively, describing the infectious disease spreading in fact-to-fact contact (e.g., conference), metropolitan areas and globally. This review mainly presents the recent progress of the modelling approaches, the effects of complex systems scale, and the critical phenomena associated with them at the three scales. Finally, the challenges and the open issues for future studies for multiscale infectious disease modelling are also discussed.
期刊介绍：
Physics Reports keeps the active physicist up-to-date on developments in a wide range of topics by publishing timely reviews which are more extensive than just literature surveys but normally less than a full monograph. Each report deals with one specific subject and is generally published in a separate volume. These reviews are specialist in nature but contain enough introductory material to make the main points intelligible to a non-specialist. The reader will not only be able to distinguish important developments and trends in physics but will also find a sufficient number of references to the original literature.
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