The use of predictive modelling to determine the likelihood of donor return during the COVID‐19 pandemic.

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Title: The use of predictive modelling to determine the likelihood of donor return during the COVID‐19 pandemic.
Authors: Gammon, Richard R.1 (AUTHOR) richard.gammon@oneblood.org, Hindawi, Salwa2 (AUTHOR), Al‐Riyami, Arwa Z.3 (AUTHOR), Ang, Ai Leen4 (AUTHOR), Bazin, Renee5 (AUTHOR), Bloch, Evan M.6 (AUTHOR), Counts, Kelley7 (AUTHOR), de Angelis, Vincenzo8 (AUTHOR), Goel, Ruchika6,9 (AUTHOR), Grubovic Rastvorceva, Rada M.10,11 (AUTHOR), Pati, Ilaria8 (AUTHOR), Lee, Cheuk‐Kwong12 (AUTHOR), La Raja, Massimo8 (AUTHOR), Mengoli, Carlo8 (AUTHOR), Oreh, Adaeze13 (AUTHOR), Patidar, Gopal Kumar14 (AUTHOR), Rahimi‐Levene, Naomi15 (AUTHOR), Ravula, Usharee16 (AUTHOR), Rexer, Karl7,17 (AUTHOR), So‐Osman, Cynthia18,19 (AUTHOR)
Source: Transfusion Medicine. Oct2024, Vol. 34 Issue 5, p333-343. 11p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Transfusion+Medicine%22">Transfusion Medicine</searchLink>. Oct2024, Vol. 34 Issue 5, p333-343. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181679592
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              Text: Oct2024
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