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Data · dataset · 2022

esnightingale/covid_deaths_spatial

Listed in LSHTM Data Compass

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).

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Epidemiology 70%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
LSHTM Data Compassoai:datacompass.lshtm.ac.uk:284310 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4202enrichment · lshtm ac uktaxonomy-embedding@1.0.0title+keywords+description (70%)
concepts[field].local:field:earth-environmentalmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
descriptionsource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/description
publication_datesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
titlesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/title