Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S. 2020. National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Hospital Admissions. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/CCE4XT
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S. National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Hospital Admissions [Internet]. Harvard Dataverse; 2020. Available from: https://doi.org/10.7910/DVN/CCE4XT
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Hospital Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CCE4XT
Description
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.
| Data capture method | Unknown |
|---|---|
| Date (Date published in a 3rd party system) | 23 October 2020 |
| Language(s) of written materials | English |
| Data Creators | 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 |
| 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 18:39 |
|---|---|
| Last Modified | 09 Mar 2022 18:39 |
| Publisher | Harvard Dataverse |
