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Data Management in Multicountry Consortium Studies: The Enterics For Global Health (EFGH) Shigella Surveillance Study Example.

Erika FeutzPrasanta K BiswasLatif NdeketaBilly OgwelUma OnwuchekwaGolam SarwarShazia SultanaPablo Peñataro YoriAlyssa AcebedoNaveed AhmedImran AhmedHannah E AtlasAlex O AwuorMd Amirul Islam BhuiyanBakary ContehOualy DiawaraSarah ElwoodMoussa FaneMd Ismail HossenMahzabeen IreenAbdoulie F JallowMehrab KarimMargaret N KosekKaren L KotloffClement LefuJie LiuRebecca MaguireFarah Naz QamarMaureen NdalamaJohn Benjamin OchiengCaleb OkonjiLoyda Fiorella Zegarra ParedesPatricia B PavlinacKarin PerezSonia QureshiFrancesca SchiaffinoMoussa TraoreKirkby D TickellRichard WachepaDesiree WitteJennifer CornickM Jahangir HossainFarhana KhanamMaribel Paredes OlorteguiRichard OmoreSamba O SowMohammad Tahir YousafzaiSean R Galagan
Published in: Open forum infectious diseases (2024)
Experiences from this study will contribute toward enriching the sparse landscape of data management methods publications and serve as a case study for future studies seeking to collect and manage data consistently and rigorously while maintaining equitable access to and control of data.
Keyphrases
  • electronic health record
  • global health
  • big data
  • public health
  • mental health
  • single cell
  • case control
  • current status