Taillandier Patrick auteur aut IRD Chapuis Kevin auteur aut IRD Gaudou B. auteur aut IRD Brugière A. auteur aut IRD Drogoul Alexis auteur aut IRD text journalArticle eng text/pdf reformatted digital access 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. specialized 020 052 050 19 3 e0299626 [24 ] 2024 1932-6203 https://www.documentation.ird.fr/hor/fdi:010090543 10.1371/journal.pone.0299626 1932-6203 [F B010090543] https://www.documentation.ird.fr/hor/fdi:010090543 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2024-05/010090543.pdf IRD - Base Horizon / Pleins textes 2024-05-22 2026-06-12 fdi:010090543 fre