gwenknight/empiricprescribing
Knight, G
(2019).
gwenknight/empiricprescribing.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3418998
R code for a Shiny app that generates Empiric Prescribing recommendations. The app won the Wellcome Trust Data Re-Use AMR prize 2019. The tool uses open-access antimicrobial resistance (AMR) surveillance datasets, including the newly available ATLAS dataset from Pfizer, to derive a composite index of antibiotic resistance for common infection syndromes.
Keywords
Antimicrobial resistance, Shiny app, AMR, Empiric therapyItem Type | Dataset |
---|---|
Capture method | Other |
Date | 16 September 2019 |
Language(s) of written materials | English |
Creator(s) |
Knight, G |
Associated roles | Leclerc, QJ (Researcher), Naylor, NR (Researcher), Aiken, AM (Researcher), Coll, F (Researcher) and Knight, GM |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 31 Oct 2019 10:33 |
Last Modified | 11 Aug 2021 13:36 |
Publisher | Zenodo |
Explore Further
- Zenodo - source code (Online Data Resource)
- Github - source code (Data)
- ShinyApps - hosted app (Other)
No files available. Please consult associated links.
- Zenodo - source code (Online Data Resource)
- Github - source code (Data)
- ShinyApps - hosted app (Other)
Downloads
ORCID: https://orcid.org/0000-0002-7263-9896