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- W3124562256 abstract "ABSTRACT Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose a using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator. We demonstrate our approach by optimizing over a high-dimensional parameter space with respect to a portfolio of multiple fitting objectives built from datasets capturing the natural history of malaria transmission and disease progression. Our approach quickly outperforms previous calibrations, yielding an improved final goodness of fit. Per-objective parameter importance and sensitivity diagnostics provided by our approach offer epidemiological insights and enhance trust in predictions through greater interpretability." @default.
- W3124562256 created "2021-02-01" @default.
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- W3124562256 date "2021-01-29" @default.
- W3124562256 modified "2023-10-16" @default.
- W3124562256 title "Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria" @default.
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- W3124562256 doi "https://doi.org/10.1101/2021.01.27.21250484" @default.
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