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：
2022-01-01
期刊：
影响因子：
--
通讯作者：
Kulesza, Alexander
中科院分区：
文献类型：
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作者：
Karr, Jonathan;Malik-Sheriff, Rahuman S;Kulesza, Alexander
在新冠肺炎大流行期间，疾病传播的数学建模已成为国家关键决策的基石。为了推进最先进的宿主病毒建模以应对未来的大流行，许多致力于相关问题的科学家聚集在一起讨论这些主题。这些讨论暴露了导致无法重用和集成模型的可重复性危机。本文件总结了这些讨论，提出了困难，并提到了针对未来解决方案的现有努力，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，科学家建立、传播和实施高影响的多尺度建模的能力将会减弱，这是理解我们面临的健康危机所必需的。
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.