Projects per year
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.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 28 Jul 2017 |
| Event | INFORMS Healthcare 2017 - Rotterdam, Netherlands Duration: 26 Jul 2017 → 28 Jul 2017 http://meetings2.informs.org/wordpress/healthcare2017/ |
Conference
| Conference | INFORMS Healthcare 2017 |
|---|---|
| Country/Territory | Netherlands |
| City | Rotterdam |
| Period | 26/07/17 → 28/07/17 |
| Internet address |
Keywords
- antibiotic resistance
- resistance surveillance data
- future resistance rates
Fingerprint
Dive into the research topics of 'Quantifying uncertainty about future antimicrobial resistance with structured expert judgment'. Together they form a unique fingerprint.Projects
- 1 Finished
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DRIVE-AB: Driving Re-investment in R&D and Responsible Antibiotic Use (FP7 IMI)
Morton, A. (Principal Investigator), Bedford, T. (Co-investigator) & Cooke, R. (Co-investigator)
1/10/14 → 30/09/17
Project: Research
Research output
- 1 Article
-
Quantifying uncertainty about future antimicrobial resistance: comparing structured expert judgment and statistical forecasting methods
Colson, A. R., Megiddo, I., Alvarez-Uria, G., Gandra, S., Bedford, T., Morton, A., Cooke, R. M. & Laxminarayan, R., 5 Jul 2019, (E-pub ahead of print) In: PLOS One. 14, 7, p. e0219190 18 p., e0219190.Research output: Contribution to journal › Article › peer-review
Open AccessFile16 Citations (Scopus)30 Downloads (Pure)