Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020–2021 in Vilnius, Lithuania.

Saved in:
Bibliographic Details
Title: Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020–2021 in Vilnius, Lithuania.
Authors: Kubiliute, Ieva1 (AUTHOR) ieva.kubiliute@mf.vu.lt, Zaboras, Edgaras2 (AUTHOR), Majauskaite, Fausta1 (AUTHOR), Urboniene, Jurgita3 (AUTHOR), Zablockiene, Birute1 (AUTHOR), Gefenaite, Giedre4 (AUTHOR), Mickiene, Aukse5 (AUTHOR), Jancoriene, Ligita1 (AUTHOR)
Source: PLoS ONE. 5/29/2026, Vol. 21 Issue 5, p1-22. 22p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194187289
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020–2021 in Vilnius, Lithuania.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kubiliute%2C+Ieva%22">Kubiliute, Ieva</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ieva.kubiliute@mf.vu.lt</i><br /><searchLink fieldCode="AR" term="%22Zaboras%2C+Edgaras%22">Zaboras, Edgaras</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Majauskaite%2C+Fausta%22">Majauskaite, Fausta</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Urboniene%2C+Jurgita%22">Urboniene, Jurgita</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zablockiene%2C+Birute%22">Zablockiene, Birute</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gefenaite%2C+Giedre%22">Gefenaite, Giedre</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mickiene%2C+Aukse%22">Mickiene, Aukse</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jancoriene%2C+Ligita%22">Jancoriene, Ligita</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 5/29/2026, Vol. 21 Issue 5, p1-22. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194187289
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0350112
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 1
    Titles:
      – TitleFull: Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020–2021 in Vilnius, Lithuania.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kubiliute, Ieva
      – PersonEntity:
          Name:
            NameFull: Zaboras, Edgaras
      – PersonEntity:
          Name:
            NameFull: Majauskaite, Fausta
      – PersonEntity:
          Name:
            NameFull: Urboniene, Jurgita
      – PersonEntity:
          Name:
            NameFull: Zablockiene, Birute
      – PersonEntity:
          Name:
            NameFull: Gefenaite, Giedre
      – PersonEntity:
          Name:
            NameFull: Mickiene, Aukse
      – PersonEntity:
          Name:
            NameFull: Jancoriene, Ligita
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 29
              M: 05
              Text: 5/29/2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19326203
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: PLoS ONE
              Type: main
ResultId 1