COVID-19 epidemic: From data to mathematical models: Comment on "Data-driven mathematical modeling approaching for COVID-19: A survey" by Jacques Demongeot and Pierre Magal.

IF 13.7 1区生物学 Q1 BIOLOGY

Physics of Life Reviews Pub Date : 2024-11-19 DOI:10.1016/j.plrev.2024.11.011

François Hamel

引用次数: 0

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COVID-19 流行病：从数据到数学模型对 Jacques Demongeot 和 Pierre Magal 撰写的 "COVID-19 数据驱动数学建模方法：Jacques Demongeot 和 Pierre Magal 的评论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physics of Life Reviews 生物-生物物理

CiteScore

20.30

自引率

14.50%

发文量

审稿时长

8 days

期刊介绍： Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.