Forecasting ward-level bed requirements to aid pandemic resource planning : lessons learned and future directions
Michael R. Johnson, Hiten Naik, Wei Siang Chan, Jesse Greiner, Matt Michaleski, Dong Liu, Bruno Silvestre, Ian P. McCarthy
| Year of publication: |
2023
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|---|---|
| Authors: | Johnson, Michael R. ; Naik, Hiten ; Chan, Wei Siang ; Greiner, Jesse ; Michaleski, Matt ; Liu, Dong ; Silvestre, Bruno ; McCarthy, Ian P. |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 26.2023, 3, p. 477-500
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| Subject: | COVID-19 | Forecasting | Machine learning | Pandemic resource planning | Traffic Control Bundling | Ward-level forecasting | Coronavirus | Prognoseverfahren | Forecasting model | Epidemie | Epidemic | Künstliche Intelligenz | Artificial intelligence |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-023-09639-2 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014383161