UMI 209 UMMISCO, IRD/Sorbonne University, Bondy, France.
LMI ACROSS, Thuyloi University, Hanoi, Vietnam.
PLoS One. 2024 Mar 22;19(3):e0299626. doi: 10.1371/journal.pone.0299626. eCollection 2024.
The COVID-19 crisis demonstrated the importance of using models to understand, predict, and manage epidemics, in particular by assessing in advance the effect of different intervention policies. Numerous models have been proposed to answer a wide range of questions, from the impact of open borders to the effectiveness of neighborhood containment to the role of building ventilation in virus dispersion. However, the vast majority of these models are only suited to a scale of representation, analysis, or experimentation. In this article, we present the latest version of the COMOKIT toolbox, which is based on the integration of 3 models (COMOKIT-micro, COMOKIT-meso, and COMOKIT-macro) enabling these questions to be addressed at different geographical scales of analysis and exploration, from the building scale to the scale of entire countries. An application of these 3 models to various questions concerning public health policies against COVID-19 is presented and discussed.
新冠疫情危机表明了使用模型来理解、预测和管理疫情的重要性,特别是通过预先评估不同干预政策的效果。已经提出了许多模型来回答广泛的问题,从开放边界的影响到邻里遏制的有效性,再到建筑物通风在病毒传播中的作用。然而,这些模型中的绝大多数只适合特定的规模的表示、分析或实验。在本文中,我们介绍了 COMOKIT 工具箱的最新版本,该工具箱基于三个模型的集成(COMOKIT-micro、COMOKIT-meso 和 COMOKIT-macro),使得可以在不同的地理分析和探索尺度上解决这些问题,从建筑物尺度到整个国家的尺度。我们展示并讨论了这三个模型在针对新冠疫情的公共卫生政策的各种问题上的应用。