Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study.

Saved in:
Bibliographic Details
Title: Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study.
Authors: Sargent RH; RIWI Corp, Toronto, ON, Canada., Laurie S; RIWI Corp, Toronto, ON, Canada., Weakland LF; Center for Global Health Innovation, Atlanta, GA, United States., Lavery JV; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.; Center for Ethics, Emory University, Atlanta, GA, United States., Salmon DA; Institute for Vaccine Safety, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States., Orenstein WA; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.; School of Medicine, Emory University, Atlanta, GA, United States., Breiman RF; Center for Global Health Innovation, Atlanta, GA, United States.; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.; School of Medicine, Emory University, Atlanta, GA, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2022 Jul 01; Vol. 24 (7), pp. e37920. Date of Electronic Publication: 2022 Jul 01.
Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 35709335
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sargent+RH%22">Sargent RH</searchLink>; RIWI Corp, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Laurie+S%22">Laurie S</searchLink>; RIWI Corp, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Weakland+LF%22">Weakland LF</searchLink>; Center for Global Health Innovation, Atlanta, GA, United States.<br /><searchLink fieldCode="AU" term="%22Lavery+JV%22">Lavery JV</searchLink>; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.; Center for Ethics, Emory University, Atlanta, GA, United States.<br /><searchLink fieldCode="AU" term="%22Salmon+DA%22">Salmon DA</searchLink>; Institute for Vaccine Safety, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.<br /><searchLink fieldCode="AU" term="%22Orenstein+WA%22">Orenstein WA</searchLink>; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.; School of Medicine, Emory University, Atlanta, GA, United States.<br /><searchLink fieldCode="AU" term="%22Breiman+RF%22">Breiman RF</searchLink>; Center for Global Health Innovation, Atlanta, GA, United States.; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.; School of Medicine, Emory University, Atlanta, GA, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100959882%22">Journal of medical Internet research</searchLink> [J Med Internet Res] 2022 Jul 01; Vol. 24 (7), pp. e37920. <i>Date of Electronic Publication: </i>2022 Jul 01.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, U.S. Gov't, P.H.S.
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>100959882 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-8871 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214388871%22">14388871 </searchLink><i>NLM ISO Abbreviation: </i>J Med Internet Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35709335
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2196/37920
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e37920
    Titles:
      – TitleFull: Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sargent RH
      – PersonEntity:
          Name:
            NameFull: Laurie S
      – PersonEntity:
          Name:
            NameFull: Weakland LF
      – PersonEntity:
          Name:
            NameFull: Lavery JV
      – PersonEntity:
          Name:
            NameFull: Salmon DA
      – PersonEntity:
          Name:
            NameFull: Orenstein WA
      – PersonEntity:
          Name:
            NameFull: Breiman RF
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2022 Jul 01
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 1438-8871
          Numbering:
            – Type: volume
              Value: 24
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Journal of medical Internet research
              Type: main
ResultId 1