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.
Alternative Title
Estimating the local burden of disease during the first wave of the COVID-19 epidemic in England, using different data sources from changing surveillance practices
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.
