Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study-Reference-Cited by-同舟云学术

Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study

Author:

Akbari-Moghaddam Maryam¹^ORCID,Li Na¹²³,Down Douglas G.¹,Arnold Donald M.³⁴,Callum Jeannie⁵⁶,Bégin Philippe⁷⁸,Heddle Nancy M.³⁴

Affiliation:

1. Department of Computing and Software, McMaster University, Hamilton, Ontario, Canada

2. Community Health Sciences, University of Calgary, Calgary, Ontario, Alberta

3. McMaster Centre for Transfusion Research, Department of Medicine, McMaster University, Hamilton, Ontario, Canada

4. Department of Medicine, McMaster University, Hamilton, Ontario, Canada

5. Department of Pathology and Molecular Medicine, Kingston Health Sciences Centre, Kingston, Ontario, Canada

6. Department of Pathology and Molecular Medicine, Queen’s University, Kingston, Ontario, Canada

7. Section of Allergy, Immunology and Rheumatology, Department of Pediatrics, CHU Sainte-Justine, Montreal, Quebec, Canada

8. Department of Medicine, CHUM, Université de Montréal, Montreal, Quebec, Canada

Funder

McMaster Centre for Transfusion Research

Mitacs

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Management Science and Operations Research

Link

Reference70 articles.

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