Data-driven fair resource allocation for novel emerging epidemics : a COVID-19 Convalescent Plasma case study
Maryam Akbari-Moghaddam, Na Li, Douglas G. Down, Donald M. Arnold, Jeannie Callum, Philippe Bégin and Nancy M. Heddle
| Year of publication: |
2023
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|---|---|
| Authors: | Akbari-Moghaddam, Maryam ; Li, Na ; Down, Douglas G. ; Arnold, Donald M. ; Callum, Jeannie ; Bégin, Philippe ; Heddle, Nancy M. |
| Published in: |
INFOR : information systems and operational research. - Abingdon : Taylor & Francis Group, ISSN 1916-0615, ZDB-ID 1468358-1. - Vol. 61.2023, 4, p. 559-588
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| Subject: | COVID-19 Convalescent Plasma | data-driven optimization | demand forecasting | epidemics | Resource allocation | Coronavirus | Epidemie | Epidemic | Allokation | Allocation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/03155986.2023.2264985 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014393018