jarvisc1/comix_covid-19-first_wave

Jarvis, C

(2020). jarvisc1/comix_covid-19-first_wave. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.3741391

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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 European Commission 101003688 http://dx.doi.org/10.13039/501100000780
Date Deposited	15 May 2020 10:52
Last Modified	16 Dec 2025 09:32
Publisher	Zenodo