epiparameterReportingGuidance: Impact of Ambiguously Reported Epidemiological Parameters
Lambert, JW
; Tamayo, C; Bhatia, S; Cuomo-Dannenburg, G and McCabe, R
(2026).
epiparameterReportingGuidance: Impact of Ambiguously Reported Epidemiological Parameters.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
https://doi.org/10.5281/zenodo.21921418
; Tamayo, C; Bhatia, S; Cuomo-Dannenburg, G and McCabe, R
(2026).
epiparameterReportingGuidance: Impact of Ambiguously Reported Epidemiological Parameters.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
https://doi.org/10.5281/zenodo.21921418
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.
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.
Keywords
delay distribution| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 13 August 2026 |
| Language(s) of written materials | English |
| Creator(s) |
Lambert, JW; Tamayo, C; Bhatia, S; Cuomo-Dannenburg, G and McCabe, R
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 14 Aug 2026 10:51 |
| Last Modified | 14 Aug 2026 10:51 |
| Publisher | London School of Hygiene & Tropical Medicine |
No files available. Please consult associated links.
