Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae.
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| Title: | Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae. |
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| Authors: | Click ES, Malec D, Chevinsky J, Tao G, Melgar M, Giovanni J, Gundlapalli A, Datta D, Wong KK |
| Source: | Emerging infectious diseases [Emerg Infect Dis] 2023 Feb; Vol. 29 (2), pp. 389-392. Date of Electronic Publication: 2022 Dec 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: National Center for Infectious Diseases, Centers for Disease Control and Prevention (CDC) Country of Publication: United States NLM ID: 9508155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1080-6059 (Electronic) Linking ISSN: 10806040 NLM ISO Abbreviation: Emerg Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36564152 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Click+ES%22">Click ES</searchLink><br /><searchLink fieldCode="AU" term="%22Malec+D%22">Malec D</searchLink><br /><searchLink fieldCode="AU" term="%22Chevinsky+J%22">Chevinsky J</searchLink><br /><searchLink fieldCode="AU" term="%22Tao+G%22">Tao G</searchLink><br /><searchLink fieldCode="AU" term="%22Melgar+M%22">Melgar M</searchLink><br /><searchLink fieldCode="AU" term="%22Giovanni+J%22">Giovanni J</searchLink><br /><searchLink fieldCode="AU" term="%22Gundlapalli+A%22">Gundlapalli A</searchLink><br /><searchLink fieldCode="AU" term="%22Datta+D%22">Datta D</searchLink><br /><searchLink fieldCode="AU" term="%22Wong+KK%22">Wong KK</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229508155%22">Emerging infectious diseases</searchLink> [Emerg Infect Dis] 2023 Feb; Vol. 29 (2), pp. 389-392. <i>Date of Electronic Publication: </i>2022 Dec 23. – 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="%22National+Center+for+Infectious+Diseases%2C+Centers+for+Disease+Control+and+Prevention+%28CDC%29%22">National Center for Infectious Diseases, Centers for Disease Control and Prevention (CDC) </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9508155 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1080-6059 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210806040%22">10806040 </searchLink><i>NLM ISO Abbreviation: </i>Emerg Infect Dis <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36564152 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3201/eid2902.220712 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 389 Titles: – TitleFull: Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Click ES – PersonEntity: Name: NameFull: Malec D – PersonEntity: Name: NameFull: Chevinsky J – PersonEntity: Name: NameFull: Tao G – PersonEntity: Name: NameFull: Melgar M – PersonEntity: Name: NameFull: Giovanni J – PersonEntity: Name: NameFull: Gundlapalli A – PersonEntity: Name: NameFull: Datta D – PersonEntity: Name: NameFull: Wong KK IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2023 Feb Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1080-6059 Numbering: – Type: volume Value: 29 – Type: issue Value: 2 Titles: – TitleFull: Emerging infectious diseases Type: main |
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