Abbott, S and Funk, S. 2021. epiforecasts/covid19.sgene.utla.rt. [Online]. Zenodo. Available from: https://github.com/epiforecasts/covid19.sgene.utla.rt https://doi.org/10.5281/zenodo.5236661
Abbott, S and Funk, S. epiforecasts/covid19.sgene.utla.rt [Internet]. Zenodo; 2021. Available from: https://github.com/epiforecasts/covid19.sgene.utla.rt https://doi.org/10.5281/zenodo.5236661
Abbott, S and Funk, S (2021). epiforecasts/covid19.sgene.utla.rt. [Data Collection]. Zenodo. https://github.com/epiforecasts/covid19.sgene.utla.rt https://doi.org/10.5281/zenodo.5236661
Alternative Title
Estimating the increase in reproduction number associated with the Delta variant using local area dynamics in England
Description
This release contains the data and code for analyses exploring the association between upper-tier local area (UTLA) reproduction number estimates in England and the proportion of COVID-19 tests negative/positive for the S-gene as a proxy for the Delta variant.
Keywords
| Data capture method | Unknown |
|---|---|
| Date (Published in a 3rd party system) | 23 August 2021 |
| Language(s) of written materials | English |
| Data Creators | Abbott, S and Funk, S |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 15 Jan 2021 10:15 |
|---|---|
| Last Modified | 24 Aug 2021 16:43 |
| Publisher | Zenodo |
