View in EDS HTML Full Text PDF Full Text

Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.

Saved in:
Bibliographic Details
Title: Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.
Authors: Laeyendecker O; Laboratory of Immunoregulation, NIAID, NIH, Baltimore, MD, USA.; Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA., Konikoff J; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA., Morrison DE; Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA, USA., Brookmeyer R; Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA, USA., Wang J; Vaccine and Infectious Disease Division, SCHARP-FHCRC, Seattle, WA, USA., Celum C; Departments of Global Health, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA., Morrison CS; Clinical and Epidemiologic Sciences, Durham, NC, USA., Abdool Karim Q; Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA., Pettifor AE; Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.; Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Johannesburg, South Africa., Eshleman SH; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Source: Journal of the International AIDS Society [J Int AIDS Soc] 2018 Feb; Vol. 21 (2).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural
Journal Info: Publisher: John Wiley & Sons, Inc Country of Publication: Switzerland NLM ID: 101478566 Publication Model: Print Cited Medium: Internet ISSN: 1758-2652 (Electronic) Linking ISSN: 17582652 NLM ISO Abbreviation: J Int AIDS Soc 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: 29489059
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Laeyendecker+O%22">Laeyendecker O</searchLink>; Laboratory of Immunoregulation, NIAID, NIH, Baltimore, MD, USA.; Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Konikoff+J%22">Konikoff J</searchLink>; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Morrison+DE%22">Morrison DE</searchLink>; Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Brookmeyer+R%22">Brookmeyer R</searchLink>; Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Vaccine and Infectious Disease Division, SCHARP-FHCRC, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Celum+C%22">Celum C</searchLink>; Departments of Global Health, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Morrison+CS%22">Morrison CS</searchLink>; Clinical and Epidemiologic Sciences, Durham, NC, USA.<br /><searchLink fieldCode="AU" term="%22Abdool+Karim+Q%22">Abdool Karim Q</searchLink>; Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Pettifor+AE%22">Pettifor AE</searchLink>; Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.; Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.; Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Eshleman+SH%22">Eshleman SH</searchLink>; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101478566%22">Journal of the International AIDS Society</searchLink> [J Int AIDS Soc] 2018 Feb; Vol. 21 (2).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+%26+Sons%2C+Inc%22">John Wiley & Sons, Inc </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101478566 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1758-2652 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217582652%22">17582652 </searchLink><i>NLM ISO Abbreviation: </i>J Int AIDS Soc <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=29489059
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/jia2.25082
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Laeyendecker O
      – PersonEntity:
          Name:
            NameFull: Konikoff J
      – PersonEntity:
          Name:
            NameFull: Morrison DE
      – PersonEntity:
          Name:
            NameFull: Brookmeyer R
      – PersonEntity:
          Name:
            NameFull: Wang J
      – PersonEntity:
          Name:
            NameFull: Celum C
      – PersonEntity:
          Name:
            NameFull: Morrison CS
      – PersonEntity:
          Name:
            NameFull: Abdool Karim Q
      – PersonEntity:
          Name:
            NameFull: Pettifor AE
      – PersonEntity:
          Name:
            NameFull: Eshleman SH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2018 Feb
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-electronic
              Value: 1758-2652
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of the International AIDS Society
              Type: main
ResultId 1