AKBARI-MOGHADDAM, Maryam, LI, Na, DOWN, Douglas G., ARNOLD, Donald M., CALLUM, Jeannie, BÉGIN, Philippe und HEDDLE, Nancy M., 2023. Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study. INFOR. 1 November 2023. Vol. 61, no. 4, p. 559-588. DOI 10.1080/03155986.2023.2264985.
Elsevier - Harvard (with titles)Akbari-Moghaddam, M., Li, N., Down, D.G., Arnold, D.M., Callum, J., Bégin, P., Heddle, N.M., 2023. Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study. INFOR 61, 559-588. https://doi.org/10.1080/03155986.2023.2264985
American Psychological Association 7th editionAkbari-Moghaddam, M., Li, N., Down, D. G., Arnold, D. M., Callum, J., Bégin, P., & Heddle, N. M. (2023). Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study. INFOR, 61(4), 559-588. https://doi.org/10.1080/03155986.2023.2264985
Springer - Basic (author-date)Akbari-Moghaddam M, Li N, Down DG, Arnold DM, Callum J, Bégin P, Heddle NM (2023) Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study.. INFOR 61:559-588. https://doi.org/10.1080/03155986.2023.2264985
Juristische Zitierweise (Stüber) (Deutsch)Akbari-Moghaddam, Maryam/ Li, Na/ Down, Douglas G./ Arnold, Donald M./ Callum, Jeannie/ Bégin, Philippe/ Heddle, Nancy M., Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study., INFOR 2023, 559-588.