2023
DOI: 10.1101/2023.07.05.23292245
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Characterising information gains and losses when collecting multiple epidemic model outputs

Katharine Sherratt,
Ajitesh Srivastava,
Kylie Ainslie
et al.

Abstract: Background. Collaborative comparisons and combinations of multiple epidemic models are used as policy-relevant evidence during epidemic outbreaks. Typically, each modeller summarises their own distribution of simulated trajectories using descriptive statistics at each modelled time step. We explored information losses compared to directly collecting a sample of the simulated trajectories, in terms of key epidemic quantities, ensemble uncertainty, and performance against data. Methods. We compared July 2022 pro… Show more

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