Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S. 2020. National Reproduction Number (R) Based on Reported Cases. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/TTLQRN
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S. National Reproduction Number (R) Based on Reported Cases [Internet]. Harvard Dataverse; 2020. Available from: https://doi.org/10.7910/DVN/TTLQRN
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National Reproduction Number (R) Based on Reported Cases. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/TTLQRN
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. These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively.
Keywords
| Data capture method | Aggregation |
|---|---|
| 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 | 08 Jun 2021 10:04 |
|---|---|
| Last Modified | 08 Jul 2021 12:50 |
| Publisher | Harvard Dataverse |
