Quantifying uncertainty about future antimicrobial resistance with structured expert judgment

Colson, Abigail (2017) Quantifying uncertainty about future antimicrobial resistance with structured expert judgment. In: INFORMS Healthcare 2017, 2017-07-26 - 2017-07-28.

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Abstract

Antibiotic resistance is a major global concern. Although many countries collect resistance surveillance data, the large number of factors that influence the emergence and spread of resistance makes it extremely difficult to translate historical data into future predictions. To bridge the gap between existing surveillance data and the needs of decision makers, we use Cooke’s classical model of structured expert judgment to quantify uncertainty about future resistance rates for select pathogen-antibiotic pairs in several European countries.

ORCID iDs

Colson, Abigail ORCID: https://orcid.org/0000-0002-3241-5855

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• Item metadata

  Item type:	Conference or Workshop Item(Other)
  ID code:	69255
  Dates:	Date Event 28 July 2017 Published
  Subjects:	Medicine > Therapeutics. Pharmacology
  Department:	Strathclyde Business School > Management Science
  Depositing user:	Pure Administrator
  Date deposited:	09 Aug 2019 10:48
  Last modified:	11 Nov 2024 16:59
  URI:	https://strathprints.strath.ac.uk/id/eprint/69255