Quantifying uncertainty about future antimicrobial resistance with structured expert judgment

Research output: Contribution to conferenceAbstract

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.

Conference

ConferenceINFORMS Healthcare 2017
CountryNetherlands
CityRotterdam
Period26/07/1728/07/17
Internet address

Fingerprint

antibiotic resistance
antibiotics
pathogen
prediction
surveillance
decision
need
rate

Keywords

  • antibiotic resistance
  • resistance surveillance data
  • future resistance rates

Cite this

Colson, A. (2017). Quantifying uncertainty about future antimicrobial resistance with structured expert judgment. Abstract from INFORMS Healthcare 2017, Rotterdam, Netherlands.
Colson, Abigail. / Quantifying uncertainty about future antimicrobial resistance with structured expert judgment. Abstract from INFORMS Healthcare 2017, Rotterdam, Netherlands.1 p.
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title = "Quantifying uncertainty about future antimicrobial resistance with structured expert judgment",
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.",
keywords = "antibiotic resistance, resistance surveillance data, future resistance rates",
author = "Abigail Colson",
year = "2017",
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day = "28",
language = "English",
note = "INFORMS Healthcare 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
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Colson, A 2017, 'Quantifying uncertainty about future antimicrobial resistance with structured expert judgment' INFORMS Healthcare 2017, Rotterdam, Netherlands, 26/07/17 - 28/07/17, .

Quantifying uncertainty about future antimicrobial resistance with structured expert judgment. / Colson, Abigail.

2017. Abstract from INFORMS Healthcare 2017, Rotterdam, Netherlands.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Quantifying uncertainty about future antimicrobial resistance with structured expert judgment

AU - Colson, Abigail

PY - 2017/7/28

Y1 - 2017/7/28

N2 - 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.

AB - 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.

KW - antibiotic resistance

KW - resistance surveillance data

KW - future resistance rates

M3 - Abstract

ER -

Colson A. Quantifying uncertainty about future antimicrobial resistance with structured expert judgment. 2017. Abstract from INFORMS Healthcare 2017, Rotterdam, Netherlands.