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Open Access

Peer-reviewed

Research Article

A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics

Riccardo Delli Compagni,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

Affiliation Health Geography and Policy Group, ETH Zürich, Zürich, Switzerland
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Zhao Cheng,

Roles Conceptualization, Data curation, Methodology, Writing – review & editing

Affiliation Health Geography and Policy Group, ETH Zürich, Zürich, Switzerland

https://orcid.org/0000-0002-3176-0593

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Stefania Russo,

Roles Methodology, Writing – review & editing

Affiliation Ecovision Lab, Photogrammetry and Remote Sensing, ETH Zürich, Zürich, Switzerland
⨯
Thomas P. Van Boeckel

Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: thomas.vanboeckel@env.ethz.ch

Affiliations Health Geography and Policy Group, ETH Zürich, Zürich, Switzerland, Center for Diseases Dynamics Economics and Policy, Washington, DC, United States of America
⨯

A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics

Riccardo Delli Compagni,
Zhao Cheng,
Stefania Russo,
Thomas P. Van Boeckel

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Published: March 3, 2022
https://doi.org/10.1371/journal.pone.0263789

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Intensive care units
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COVID 19
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Virus testing
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Vaccination and immunization
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Optimization
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Switzerland
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Machine learning
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Neural networks
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