Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S. 2021. National and Subnational Estimates of the Covid 19 Reproduction Number (R) for South Africa Based on Test Results. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/17XS9I
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 South Africa Based on Test Results [Internet]. Harvard Dataverse; 2021. Available from: https://doi.org/10.7910/DVN/17XS9I
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for South Africa Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/17XS9I
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 South Africa. 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 | Unknown |
|---|---|
| Date (Date published in a 3rd party system) | 27 November 2021 |
| 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 | 14 Mar 2022 17:53 |
|---|---|
| Last Modified | 15 Mar 2022 13:43 |
| Publisher | Harvard Dataverse |
