gwenknight/empiricprescribing
Knight, G
(2019).
gwenknight/empiricprescribing.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3418998
(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 therapy| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| 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 | 03 Feb 2026 14:29 |
| Publisher | Zenodo |
No files available. Please consult associated links.
