Exploring and optimising infectious disease policies with a stylised agent-based model
Résumé
The quantitative study of the spread of infectious diseases is a crucial aspect to design health policies and foster responsiveness, as the recent COVID-19 pandemic showed at an unprecedented scale. In-between abstract theoretical models and large-scale data driven microsimulation models lie a broad set of modelling tools, which may suffer from various issues such as parameter uncertainties or the lack of data. We introduce in this paper a stylised ABM for infectious disease spreading, based on the SIRV compartmental model. We account for a certain level of geographical detail, including commuting modes and workplaces. We apply to it a set of model validation methods, including global sensitivity analysis, surrogates, and multi-objective optimisation. This shows how such methods could be a new tool for more robust design and optimisation of infectious disease policies.
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FRCCS2023_Kang-Raimbault.pdf (826.05 Ko)
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O4_2815_Juste_Raimbault.pdf (1.35 Mo)
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| Origine | Fichiers produits par l'(les) auteur(s) |
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| Format | Présentation |
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| Commentaire | Slides |
