View in EDS HTML Full Text PDF Full Text

Modelling the impact of hybrid immunity on future COVID-19 epidemic waves.

Saved in:
Bibliographic Details
Title: Modelling the impact of hybrid immunity on future COVID-19 epidemic waves.
Authors: Le TP; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au., Abell I; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia., Conway E; Population Health & Immunity Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Melbourne, 3052, Victoria, Australia., Campbell PT; Department of Infectious Diseases at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.; Melbourne School of Population and Global Health, The University of Melbourne, Bouverie St, Carlton, 3053, Victoria, Australia., Hogan AB; School of Population Health, University of New South Wales, Sydney, 2033, New South Wales, Australia.; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, Exhibition Road, London, SW7 2AZ, United Kingdom., Lydeamore MJ; Department of Econometrics and Business Statistics, Monash University, Wellington Road, Melbourne, 3800, Victoria, Australia., McVernon J; Department of Infectious Diseases at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.; Victorian Infectious Diseases Reference Laboratory Epidemiology Unit, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia., Mueller I; Population Health & Immunity Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Melbourne, 3052, Victoria, Australia.; Department of Medical Biology, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia., Walker CR; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia., Baker CM; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.
Source: BMC infectious diseases [BMC Infect Dis] 2024 Apr 16; Vol. 24 (1), pp. 407. Date of Electronic Publication: 2024 Apr 16.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38627637
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Modelling the impact of hybrid immunity on future COVID-19 epidemic waves.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Le+TP%22">Le TP</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia. tk.le@unimelb.edu.au.<br /><searchLink fieldCode="AU" term="%22Abell+I%22">Abell I</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Conway+E%22">Conway E</searchLink>; Population Health & Immunity Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Melbourne, 3052, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Campbell+PT%22">Campbell PT</searchLink>; Department of Infectious Diseases at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.; Melbourne School of Population and Global Health, The University of Melbourne, Bouverie St, Carlton, 3053, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Hogan+AB%22">Hogan AB</searchLink>; School of Population Health, University of New South Wales, Sydney, 2033, New South Wales, Australia.; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, Exhibition Road, London, SW7 2AZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Lydeamore+MJ%22">Lydeamore MJ</searchLink>; Department of Econometrics and Business Statistics, Monash University, Wellington Road, Melbourne, 3800, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22McVernon+J%22">McVernon J</searchLink>; Department of Infectious Diseases at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.; Victorian Infectious Diseases Reference Laboratory Epidemiology Unit, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, 3000, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Mueller+I%22">Mueller I</searchLink>; Population Health & Immunity Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Melbourne, 3052, Victoria, Australia.; Department of Medical Biology, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Walker+CR%22">Walker CR</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Baker+CM%22">Baker CM</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Melbourne Centre for Data Science, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100968551%22">BMC infectious diseases</searchLink> [BMC Infect Dis] 2024 Apr 16; Vol. 24 (1), pp. 407. <i>Date of Electronic Publication: </i>2024 Apr 16.
– 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="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968551 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712334%22">14712334 </searchLink><i>NLM ISO Abbreviation: </i>BMC Infect Dis <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38627637
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s12879-024-09282-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 407
    Titles:
      – TitleFull: Modelling the impact of hybrid immunity on future COVID-19 epidemic waves.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Le TP
      – PersonEntity:
          Name:
            NameFull: Abell I
      – PersonEntity:
          Name:
            NameFull: Conway E
      – PersonEntity:
          Name:
            NameFull: Campbell PT
      – PersonEntity:
          Name:
            NameFull: Hogan AB
      – PersonEntity:
          Name:
            NameFull: Lydeamore MJ
      – PersonEntity:
          Name:
            NameFull: McVernon J
      – PersonEntity:
          Name:
            NameFull: Mueller I
      – PersonEntity:
          Name:
            NameFull: Walker CR
      – PersonEntity:
          Name:
            NameFull: Baker CM
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 16
              M: 04
              Text: 2024 Apr 16
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1471-2334
          Numbering:
            – Type: volume
              Value: 24
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BMC infectious diseases
              Type: main
ResultId 1