Data-driven fair resource allocation for novel emerging epidemics : a COVID-19 Convalescent Plasma case study
Year of publication: |
2023
|
---|---|
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
|
Subject: | COVID-19 Convalescent Plasma | data-driven optimization | demand forecasting | epidemics | Resource allocation | Coronavirus | Epidemie | Epidemic | Allokation | Allocation |
-
A data-driven optimization approach for multi-period resource allocation in cholera outbreak control
Du, Mu, (2021)
-
Wikman-Jorgensen, Philip Erick, (2024)
-
Nyiwul, Linus, (2021)
- More ...
-
Li, Na, (2021)
-
Hong Kong and Mainland China : a trend of convergence in tax treaties
Li, Na, (2024)
-
Local officials' hometown preference and enterprises' environmental investment behavior
Li, Na, (2025)
- More ...