Leclerc, QJ, Nightingale, E and Abbott, S. 2020. qleclerc/nhs_pathways_report. [Online]. Github. Available from: https://github.com/qleclerc/nhs_pathways_report
Leclerc, QJ, Nightingale, E and Abbott, S. qleclerc/nhs_pathways_report [Internet]. Github; 2020. Available from: https://github.com/qleclerc/nhs_pathways_report
Leclerc, QJ, Nightingale, E and Abbott, S (2020). qleclerc/nhs_pathways_report. [Data Collection]. Github. https://github.com/qleclerc/nhs_pathways_report
Description
This repository contains a reportfactory automating the production of routine results for the analysis of potential COVID-19 symptoms reported through England NHS Pathways. The NHS Pathways dataset describes potential COVID-19 symptoms reported in England through 111 and 999 calls, and 111 online reports. It is updated daily (except weekends), and is freely available via the NHS Digital website. The repository was discontinued and replaced by https://github.com/thibautjombart/nhs_pathways_monitoring.
Keywords
| Data capture method | Aggregation |
|---|---|
| Date (Date published in a 3rd party system) | 18 May 2020 |
| Language(s) of written materials | English |
| Data Creators | Leclerc, QJ, Nightingale, E and Abbott, S |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology Faculty of Public Health and Policy > Dept of Global Health and Development |
| Research Centre | Centre for Statistical Methodology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 22 May 2020 16:14 |
|---|---|
| Last Modified | 19 Jul 2021 13:15 |
| Publisher | Github |
