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. |
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| Authors: | Gammon RR; OneBlood, Scientific, Medical, Technical Direction, Orlando, Florida, USA., Hindawi S; Department of Hematology, King Abdulaziz University, Jeddah, Saudi Arabia., Al-Riyami AZ; Department of Hematology, Sultan Qaboos University Hospital, Muscat, Oman., Ang AL; Blood Services Group, Health Sciences Authority, Singapore., Bazin R; Héma-Québec, Medical Affairs and Innovation, Québec, Canada., Bloch EM; Department of Pathology, Transfusion Medicine Division, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Counts K; OneBlood, Information Technology Administration, Saint Petersburg, Florida, USA., de Angelis V; National Blood Centre, Italian National Institute of Health, Rome, Italy., Goel R; Department of Pathology, Transfusion Medicine Division, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.; Department of Biology, University of Illinois, Springfield, Illinois, USA., Grubovic Rastvorceva RM; Institute for Transfusion Medicine of RNM, Skopje, Republic of North Macedonia.; Faculty of Medical Sciences, University Goce Delcev, Stip, Republic of North Macedonia., Pati I; National Blood Centre, Italian National Institute of Health, Rome, Italy., Lee CK; Hong Kong Red Cross Blood Transfusion Service, HKSAR, Hong Kong, China., La Raja M; National Blood Centre, Italian National Institute of Health, Rome, Italy., Mengoli C; National Blood Centre, Italian National Institute of Health, Rome, Italy., Oreh A; National Planning Commission, Abuja, Nigeria., Patidar GK; Department of Transfusion Medicine, All India Institute of Medical Sciences, New Delhi, India., Rahimi-Levene N; Blood Bank, Shamir Medical Center, Zerifin, Israel., Ravula U; Department of Transfusion Medicine, ACS Medical College and Hospital, Chennai, India., Rexer K; OneBlood, Information Technology Administration, Saint Petersburg, Florida, USA.; Rexer Analytics, Winchester, Massachusetts, USA., So-Osman C; Department of Transfusion medicine, Sanquin Blood Supply Foundation, Amsterdam, The Netherlands.; Department of Haematology, Erasmus Medical Center, Rotterdam, The Netherlands., Thachil J; North Manchester General Hospital, Gastroenterology, Manchester, UK., Nevessignsky MT; Belgian Red Cross, French Speaking Service, Suarlée, Belgium., Vermeulen M; South African Army College, Pretoria, South Africa.; University of the Free State Afromontane Research Unit, Phuthaditjhaba, South Africa. |
| Source: | Transfusion medicine (Oxford, England) [Transfus Med] 2024 Oct; Vol. 34 (5), pp. 333-343. Date of Electronic Publication: 2024 Aug 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9301182 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-3148 (Electronic) Linking ISSN: 09587578 NLM ISO Abbreviation: Transfus Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1365-3148 |
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| DOI: | 10.1111/tme.13071 |
