Collated Results of the National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Tests, Hospital Admissions and Deaths
Abbott, S
; Bennett, C; Hickson, J; Allen, J; Sherratt, K and Funk, S
(2020).
Collated Results of the National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Tests, Hospital Admissions and Deaths.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/4L3OKY
; Bennett, C; Hickson, J; Allen, J; Sherratt, K and Funk, S
(2020).
Collated Results of the National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Tests, Hospital Admissions and Deaths.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/4L3OKY
Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting both nationally and subnationally in the United Kingdom. These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively. This dataset brings together the calculations based on Test, Hospital Admissions and Deaths to allow easier cross-analysis.
Keywords
COVID-19; Coronavirus; Pandemic; Reproduction Number; united-kingdom-collated| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 3 November 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Abbott, S; Bennett, C; Hickson, J; Allen, J; Sherratt, K and Funk, S
|
| 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; Met Office, Exeter, United Kingdom |
| Date Deposited | 09 Mar 2022 18:48 |
| Last Modified | 02 Dec 2025 09:54 |
| Publisher | Harvard Dataverse |
No files available. Please consult associated links.
