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 Germany Based on Test Results.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/LNMJYJ
; Bennett, C; Hickson, J; Allen, J; Sherratt, K and Funk, S
(2020).
National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Germany Based on Test Results.
[Dataset].
Harvard Dataverse.
https://doi.org/10.7910/DVN/LNMJYJ
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 Germany. These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively.
Keywords
COVID-19; Coronavirus; Pandemic; Reproduction Number; germany| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 23 October 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 18:44 |
| Last Modified | 02 Dec 2025 13:07 |
| Publisher | Harvard Dataverse |
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