akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China
Endo, A
; Abbott, S; Kucharski, AJ and Funk, S
(2020).
akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China.
[Dataset].
Zenodo.
http://doi.org/10.5281/zenodo.3741744
; Abbott, S; Kucharski, AJ and Funk, S
(2020).
akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China.
[Dataset].
Zenodo.
http://doi.org/10.5281/zenodo.3741744
Github repository archived to support a research article: Endo et al. "Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China".
Keywords
COVID-19; Coronavirus| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 6 April 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Endo, A; Abbott, S; Kucharski, AJ 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 |
| Date Deposited | 01 May 2020 16:32 |
| Last Modified | 08 Jun 2026 11:29 |
| Publisher | Zenodo |
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