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

被引：0

作者：

Akbari-Moghaddam, Maryam ^{[1
]}

Li, Na ^{[1
,2
,3
]}

Down, Douglas G. ^{[1
]}

Arnold, Donald M. ^{[3
,4
]}

Callum, Jeannie ^{[5
,6
]}

Bégin, Philippe ^{[7
,8
]}

Heddle, Nancy M. ^{[3
,4
]}

机构：

[1] Department of Computing and Software, McMaster University, Hamilton,ON, Canada

[2] Community Health Sciences, University of Calgary, Ontario, Calgary,AB, Canada

[3] McMaster Centre for Transfusion Research, Department of Medicine, McMaster University, Hamilton,ON, Canada

[4] Department of Medicine, McMaster University, Hamilton,ON, Canada

[5] Department of Pathology and Molecular Medicine, Kingston Health Sciences Centre, Kingston,ON, Canada

[6] Department of Pathology and Molecular Medicine, Queen’s University, Kingston,ON, Canada

[7] Section of Allergy, Immunology and Rheumatology, Department of Pediatrics, CHU Sainte-Justine, Montreal,QC, Canada

[8] Department of Medicine, CHUM, Université de Montréal, Montreal,QC, Canada

来源：

关键词：

All Open Access; Green;

D O I：

10.1080/03155986.2023.2264985

中图分类号：

学科分类号：

摘要：

引用

页码：559 / 588