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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39113629 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The use of predictive modelling to determine the likelihood of donor return during the COVID-19 pandemic. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gammon+RR%22">Gammon RR</searchLink>; OneBlood, Scientific, Medical, Technical Direction, Orlando, Florida, USA.<br /><searchLink fieldCode="AU" term="%22Hindawi+S%22">Hindawi S</searchLink>; Department of Hematology, King Abdulaziz University, Jeddah, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Al-Riyami+AZ%22">Al-Riyami AZ</searchLink>; Department of Hematology, Sultan Qaboos University Hospital, Muscat, Oman.<br /><searchLink fieldCode="AU" term="%22Ang+AL%22">Ang AL</searchLink>; Blood Services Group, Health Sciences Authority, Singapore.<br /><searchLink fieldCode="AU" term="%22Bazin+R%22">Bazin R</searchLink>; Héma-Québec, Medical Affairs and Innovation, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Bloch+EM%22">Bloch EM</searchLink>; Department of Pathology, Transfusion Medicine Division, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Counts+K%22">Counts K</searchLink>; OneBlood, Information Technology Administration, Saint Petersburg, Florida, USA.<br /><searchLink fieldCode="AU" term="%22de+Angelis+V%22">de Angelis V</searchLink>; National Blood Centre, Italian National Institute of Health, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Goel+R%22">Goel R</searchLink>; Department of Pathology, Transfusion Medicine Division, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.; Department of Biology, University of Illinois, Springfield, Illinois, USA.<br /><searchLink fieldCode="AU" term="%22Grubovic+Rastvorceva+RM%22">Grubovic Rastvorceva RM</searchLink>; Institute for Transfusion Medicine of RNM, Skopje, Republic of North Macedonia.; Faculty of Medical Sciences, University Goce Delcev, Stip, Republic of North Macedonia.<br /><searchLink fieldCode="AU" term="%22Pati+I%22">Pati I</searchLink>; National Blood Centre, Italian National Institute of Health, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Lee+CK%22">Lee CK</searchLink>; Hong Kong Red Cross Blood Transfusion Service, HKSAR, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22La+Raja+M%22">La Raja M</searchLink>; National Blood Centre, Italian National Institute of Health, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Mengoli+C%22">Mengoli C</searchLink>; National Blood Centre, Italian National Institute of Health, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Oreh+A%22">Oreh A</searchLink>; National Planning Commission, Abuja, Nigeria.<br /><searchLink fieldCode="AU" term="%22Patidar+GK%22">Patidar GK</searchLink>; Department of Transfusion Medicine, All India Institute of Medical Sciences, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Rahimi-Levene+N%22">Rahimi-Levene N</searchLink>; Blood Bank, Shamir Medical Center, Zerifin, Israel.<br /><searchLink fieldCode="AU" term="%22Ravula+U%22">Ravula U</searchLink>; Department of Transfusion Medicine, ACS Medical College and Hospital, Chennai, India.<br /><searchLink fieldCode="AU" term="%22Rexer+K%22">Rexer K</searchLink>; OneBlood, Information Technology Administration, Saint Petersburg, Florida, USA.; Rexer Analytics, Winchester, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22So-Osman+C%22">So-Osman C</searchLink>; Department of Transfusion medicine, Sanquin Blood Supply Foundation, Amsterdam, The Netherlands.; Department of Haematology, Erasmus Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Thachil+J%22">Thachil J</searchLink>; North Manchester General Hospital, Gastroenterology, Manchester, UK.<br /><searchLink fieldCode="AU" term="%22Nevessignsky+MT%22">Nevessignsky MT</searchLink>; Belgian Red Cross, French Speaking Service, Suarlée, Belgium.<br /><searchLink fieldCode="AU" term="%22Vermeulen+M%22">Vermeulen M</searchLink>; South African Army College, Pretoria, South Africa.; University of the Free State Afromontane Research Unit, Phuthaditjhaba, South Africa. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229301182%22">Transfusion medicine (Oxford, England)</searchLink> [Transfus Med] 2024 Oct; Vol. 34 (5), pp. 333-343. <i>Date of Electronic Publication: </i>2024 Aug 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Scientific+Publications%22">Blackwell Scientific Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9301182 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1365-3148 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209587578%22">09587578 </searchLink><i>NLM ISO Abbreviation: </i>Transfus Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39113629 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/tme.13071 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 333 Titles: – TitleFull: The use of predictive modelling to determine the likelihood of donor return during the COVID-19 pandemic. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gammon RR – PersonEntity: Name: NameFull: Hindawi S – PersonEntity: Name: NameFull: Al-Riyami AZ – PersonEntity: Name: NameFull: Ang AL – PersonEntity: Name: NameFull: Bazin R – PersonEntity: Name: NameFull: Bloch EM – PersonEntity: Name: NameFull: Counts K – PersonEntity: Name: NameFull: de Angelis V – PersonEntity: Name: NameFull: Goel R – PersonEntity: Name: NameFull: Grubovic Rastvorceva RM – PersonEntity: Name: NameFull: Pati I – PersonEntity: Name: NameFull: Lee CK – PersonEntity: Name: NameFull: La Raja M – PersonEntity: Name: NameFull: Mengoli C – PersonEntity: Name: NameFull: Oreh A – PersonEntity: Name: NameFull: Patidar GK – PersonEntity: Name: NameFull: Rahimi-Levene N – PersonEntity: Name: NameFull: Ravula U – PersonEntity: Name: NameFull: Rexer K – PersonEntity: Name: NameFull: So-Osman C – PersonEntity: Name: NameFull: Thachil J – PersonEntity: Name: NameFull: Nevessignsky MT – PersonEntity: Name: NameFull: Vermeulen M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2024 Oct Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1365-3148 Numbering: – Type: volume Value: 34 – Type: issue Value: 5 Titles: – TitleFull: Transfusion medicine (Oxford, England) Type: main |
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