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Development of an ensemble model to anticipate short-term COVID-19 hospital demand

For the past two years, the COVID-19 pandemic has exerted pressure on the hospital system, with consequences for patients' care pathways. To support hospital planning strategies, it is important to anticipate COVID-19 health care demand and to continue to improve predictive models.

In this study published in the journal PNAS, scientists from the Mathematical Modeling of Infectious Diseases Unit at the Institut Pasteur identified the most relevant predictive variables for anticipating hospital demand and proposed using an ensemble model based on the average of the predictions of several individual models.

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