Abbott, S
and Funk, S
(2021).
epiforecasts/covid19.sgene.utla.rt.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.5236661
and Funk, S
(2021).
epiforecasts/covid19.sgene.utla.rt.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.5236661
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.
Alternative Title
Estimating the increase in reproduction number associated with the Delta variant using local area dynamics in England
Keywords
Open Science; COVID-19; Reproduction-number; SARS-CoV-2; COVID-19; Coronavirus| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 23 August 2021 |
| Language(s) of written materials | English |
| Creator(s) |
Abbott, S and Funk, S
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 15 Jan 2021 10:15 |
| Last Modified | 23 Oct 2025 14:49 |
| Publisher | Zenodo |
No files available. Please consult associated links.
