Knight, G. 2019. gwenknight/empiricprescribing. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.3418998
Knight, G. gwenknight/empiricprescribing [Internet]. Zenodo; 2019. Available from: https://doi.org/10.5281/zenodo.3418998
Knight, G (2019). gwenknight/empiricprescribing. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3418998
Description
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
| Data capture method | Other |
|---|---|
| Date (Date published in a 3rd party system) | 16 September 2019 |
| Language(s) of written materials | English |
| Data Creators | 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 |
| 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 |
