Funk, S. 2022. epiforecasts/ons_severity_estimates. [Online]. Github. Available from: https://github.com/epiforecasts/ons_severity_estimates
Funk, S. epiforecasts/ons_severity_estimates [Internet]. Github; 2022. Available from: https://github.com/epiforecasts/ons_severity_estimates
Funk, S (2022). epiforecasts/ons_severity_estimates. [Data Collection]. Github. https://github.com/epiforecasts/ons_severity_estimates
Alternative Title
Estimates of COVID-19 reporting and severity
Description
This uses estimates of infection incidence from the EpiForecasts Rt pipeline combined with PCR positivity curves and estimates of positivity prevalence from the ONS Community Infection Survey to estimates changes over time in: reporting rate of infections, infection-hospitalisation ratio, and infection-fatality ratio. A version of this plot appears in the supplementary material of Vöhringer et al's Genomic reconstruction of the SARS-CoV-2 epidemic in England.
Keywords
Data capture method | Unknown |
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Date (Date published in a 3rd party system) | 28 March 2022 |
Language(s) of written materials | English |
Data Creators | Funk, S |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 22 Aug 2022 08:29 |
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Last Modified | 22 Aug 2022 08:29 |
Publisher | Github |