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Data · dataset · 2023

Improving modelling for epidemic responses: reflections

Listed in LSHTM Data Compass

Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Epidemiological modelling 80%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
LSHTM Data Compassoai:datacompass.lshtm.ac.uk:424212 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:diseaseenrichment · lshtm ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:field:420205enrichment · lshtm ac uktaxonomy-embedding@1.0.0title+keywords+description (80%)
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