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VA Big Data Science: A Model for Improved National Pandemic Response Present and Future.

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Title: VA Big Data Science: A Model for Improved National Pandemic Response Present and Future.
Authors: Young-Xu Y; White River Junction Veterans Affairs Medical Center, Vermont.; Geisel School of Medicine at Dartmouth, Hanover, New Hampshire., Davey V; Office of Research and Development, Department of Veterans Affairs, Washington, DC., Marconi VC; Atlanta Veterans Affairs Medical Center, Decatur, Georgia.; Emory University School of Medicine, Atlanta, Georgia., Cunningham FE; Center for Medication Safety, Pharmacy Benefits Management Services, Department of Veterans Affairs, Hines, Illinois.
Source: Federal practitioner : for the health care professionals of the VA, DoD, and PHS [Fed Pract] 2023 Nov; Vol. 40 (11 Suppl 5), pp. S39-S42. Date of Electronic Publication: 2023 Nov 01.
Publication Type: Journal Article
Journal Info: Publisher: Frontline Medical Communications Country of Publication: United States NLM ID: 9500574 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1078-4497 (Print) Linking ISSN: 10784497 NLM ISO Abbreviation: Fed Pract Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: VA Big Data Science: A Model for Improved National Pandemic Response Present and Future.
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  Data: <searchLink fieldCode="AU" term="%22Young-Xu+Y%22">Young-Xu Y</searchLink>; White River Junction Veterans Affairs Medical Center, Vermont.; Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.<br /><searchLink fieldCode="AU" term="%22Davey+V%22">Davey V</searchLink>; Office of Research and Development, Department of Veterans Affairs, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Marconi+VC%22">Marconi VC</searchLink>; Atlanta Veterans Affairs Medical Center, Decatur, Georgia.; Emory University School of Medicine, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Cunningham+FE%22">Cunningham FE</searchLink>; Center for Medication Safety, Pharmacy Benefits Management Services, Department of Veterans Affairs, Hines, Illinois.
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  Data: <searchLink fieldCode="JN" term="%229500574%22">Federal practitioner : for the health care professionals of the VA, DoD, and PHS</searchLink> [Fed Pract] 2023 Nov; Vol. 40 (11 Suppl 5), pp. S39-S42. <i>Date of Electronic Publication: </i>2023 Nov 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontline+Medical+Communications%22">Frontline Medical Communications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9500574 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1078-4497 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210784497%22">10784497 </searchLink><i>NLM ISO Abbreviation: </i>Fed Pract <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.12788/fp.0412
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      – Code: eng
        Text: English
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        StartPage: S39
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      – TitleFull: VA Big Data Science: A Model for Improved National Pandemic Response Present and Future.
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            – D: 01
              M: 11
              Text: 2023 Nov
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              Value: 11 Suppl 5
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