A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy
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DOI: 10.1287/inte.2021.1115
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Cited by:
- Chengliang Wang & Feifei Yang & Quan-Lin Li, 2023. "Optimal Decision of Dynamic Bed Allocation and Patient Admission with Buffer Wards during an Epidemic," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
- Lidia Betcheva & Feryal Erhun & Antoine Feylessoufi & Peter Fryers & Paulo Gonçalves & Houyuan Jiang & Paul Kattuman & Tom Pape & Anees Pari & Stefan Scholtes & Carina Tyrrell, 2024. "An Adaptive Research Approach to COVID-19 Forecasting for Regional Health Systems in England," Interfaces, INFORMS, vol. 54(6), pages 500-516, November.
- Bradley S. Price & John P. Saldanha & Bernardo F. Quiroga & Sally L. Hodder, 2024. "Maintaining Healthcare Capacity in Rural America by Replenishing Personal Protective Equipment: The Case from West Virginia," Interfaces, INFORMS, vol. 54(6), pages 517-536, November.
- Arti Mann & Ben Cleveland & Dan Bumblauskas & Shashidhar Kaparthi, 2024. "Reducing Hospital Readmission Risk Using Predictive Analytics," Interfaces, INFORMS, vol. 54(4), pages 380-388, July.
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Keywords
bed capacity planning; COVID-19; intensive care unit; decision support system; Monte Carlo simulation;All these keywords.
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