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Data · dataset · 2026

epiparameterReportingGuidance: Impact of Ambiguously Reported Epidemiological Parameters

Listed in LSHTM Data Compass

Research compendium of the analysis code used to produce the figures in Tamayo Cuartero et al. (2026), The impact of ambiguously reported epidemiological parameters for infectious disease modelling and recommended best practices, Epidemics, 100942, doi:10.1016/j.epidem.2026.100942.

Description

The repository reproduces a series of case studies illustrating how incomplete or ambiguous reporting of epidemiological parameters — such as delay distributions, their parameterisation, and associated uncertainty — can propagate through downstream analyses and affect public health conclusions.

The exact software environment is pinned with renv.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Epidemiology 73%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
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FieldAssertionExtractorEvidence
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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
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