Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility.
Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility.
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DOI：
10.3389/fsysb.2022.822606
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Kulesza A
中科院分区：
文献类型：
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作者：
Karr J;Malik-Sheriff RS;Osborne J;Gonzalez-Parra G;Forgoston E;Bowness R;Liu Y;Thompson R;Garira W;Barhak J;Rice J;Torres M;Dobrovolny HM;Tang T;Waites W;Glazier JA;Faeder JR;Kulesza A
在 COVID-19 大流行期间，疾病传播的数学模型已成为国家关键决策的基石。为了推进最先进的宿主病毒模型以应对未来的流行病，许多研究相关问题的科学家聚集在一起讨论这些主题。这些讨论暴露了可重复性危机，导致无法重用和集成模型。本文档总结了这些讨论，提出了困难，并提到了为未来的解决方案所做的努力，这些解决方案将允许未来的模型实用和集成。我们认为，如果不解决这些挑战，科学家构建、传播和实施理解我们所面临的健康危机所需的高影响力多尺度模型的能力就会减弱。
During the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral modeling to handle future pandemics, many scientists working on related issues assembled to discuss the topics. These discussions exposed the reproducibility crisis that leads to inability to reuse and integrate models. This document summarizes these discussions, presents difficulties, and mentions existing efforts towards future solutions that will allow future model utility and integration. We argue that without addressing these challenges, scientists will have diminished ability to build, disseminate, and implement high-impact multi-scale modeling that is needed to understand the health crises we face.