Improving policy-oriented agent-based modeling with history matching: A case study.

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Title: Improving policy-oriented agent-based modeling with history matching: A case study.
Authors: O'Gara D; Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, MO, USA. Electronic address: david.ogara@wustl.edu., Kerr CC; Institute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA., Klein DJ; Institute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, WA, USA., Binois M; Acumes Team, Université Côte d'Azur, Inria, Sophia Antipolis, France., Garnett R; Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, MO, USA; Department of Computer Science, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA., Hammond RA; Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, MO, USA; School of Public Health, Washington University in St. Louis, St. Louis, MO, USA; Center on Social Dynamics and Policy, Brookings Institution, Washington, DC, USA; The Santa Fe Institute, Santa Fe, NM, USA.
Source: Epidemics [Epidemics] 2025 Sep; Vol. 52, pp. 100845. Date of Electronic Publication: 2025 Jul 16.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101484711 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0067 (Electronic) Linking ISSN: 18780067 NLM ISO Abbreviation: Epidemics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-0067
DOI:10.1016/j.epidem.2025.100845