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Use of a rapid electronic survey methodology to estimate blood donors' potential exposure to emerging infectious diseases: Application of a statistically representative sampling methodology to assess risk in US blood centers.

Barbee I WhitakerMark WalderhaugSusan HinkinsWhitney R SteeleBrian CusterDebra KesslerGerman LeparcJerome L GottschallWalter BialkowskiSusan L StramerRoger Y DoddLauren CrowderFarnaz VahidniaBeth H ShazHany KamelMark RebosaMichael SternSteven A Anderson
Published in: Transfusion (2020)
The structured donor demographic sample-based data provided an assessment of blood donors' potential exposure to an emerging pathogen that was 63% larger than the U.S. population-based estimate. This illustrates the need for tailored blood donor-based EID risk assessments that provide more specific demographic risk intelligence and can inform appropriate regulatory decision making.
Keyphrases
  • infectious diseases
  • decision making
  • electronic health record
  • climate change
  • candida albicans
  • deep learning
  • smoking cessation
  • quantum dots
  • artificial intelligence