Sensitivity Analysis of Pandemic Models Can Support Effective Policy Decisions

DOI10.1080/10618600.2022.2126483OpenAlexW4296459216WikidataQ114638940 ScholiaQ114638940MaRDI QIDQ6140303

Xuefei Lu, Giovanni Rabitti, Emanuele Borgonovo

Publication date: 22 January 2024

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2022.2126483

zbMATH Keywords

global sensitivity analysisCOVID-19 pandemicSIR models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Statistics in the big data era: failures of the machine
• Global sensitivity analysis in epidemiological modeling
• On the Relative Importance of Input Factors in Mathematical Models
• Transformations and Invariance in the Sensitivity Analysis of Computer Experiments

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