jarvisc1/comix_covid-19-first_wave
Jarvis, C
(2020).
jarvisc1/comix_covid-19-first_wave.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3741391
(2020).
jarvisc1/comix_covid-19-first_wave.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3741391
To mitigate and slow the spread of COVID-19, many countries have adopted unprecedented physical distancing policies, including the UK. We evaluate whether these measures might be sufficient to control the epidemic by estimating their impact on the reproduction number (R0, the average number of secondary cases generated per case).
Additional Information
Funded by European Union’s Horizon 2020 Research and Innovations Programme
Keywords
COVID-19; Contact Survey; Pandemic; Disease Outbreak; Reproduction Number; nCov; Coronavirus| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Questionnaire |
| Date | 6 April 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Jarvis, C
|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases |
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI EpiPose (Epidemic Intelligence to Minimize COVID-19’s Public Health, Societal and Economical Impact 101003688 http://dx.doi.org/10.13039/501100000780 |
| Date Deposited | 15 May 2020 10:52 |
| Last Modified | 16 Dec 2025 09:32 |
| Publisher | Zenodo |
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