esnightingale/covid_deaths_spatial
(2022).
esnightingale/covid_deaths_spatial.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.5763663
This repository contains the code used to predict the potential trajectories of symptomatic cases and total infections for COVID-19 during the first epidemic wave in England, based on reported COVID-19-related deaths per week and per lower tier local authority (LTLA). This is acheived by estimating a confirmed-case-fatality ratio according to cases detected under the expanded pillar 1 + pillar 2 testing system in place from 18th May 2020, and applying this to rescale smoothed trajectories of deaths from January to June, accounting for case-fatality risk factors of the local population. Data from serological surveys are then used to infer the total number of infections represented by these cases.
Keywords
COVID-19, Coronavirus| Item Type | Dataset |
|---|---|
| Capture method | Other |
| Date | 7 January 2022 |
| Language(s) of written materials | English |
| Creator(s) |
Nightingale, E
|
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 13 Apr 2022 13:15 |
| Last Modified | 19 May 2022 08:48 |
| Publisher | Zenodo |
No files available. Please consult associated links.
