| iris_ldh_2022 → "IRIS Lancet Digital Health Journal Article 2022 Manuscript Code Repository" |
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Accompanying code for the Lancet Digital Health manuscript:
"Sustained reductions in invasive bacterial diseases during the first two years of the COVID-19 pandemic: analyses of prospective surveillance data from 30 countries participating in the IRIS Consortium"
This repository contains the R code used to run analyses on the IRIS Consortium data. The code has been compiled into an R project.
NOTE
This code was used to run analyses for two manuscripts:
| Manuscript: | medRxiv preprint | Lancet Digital Health journal article |
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Due to data protection agreements, IRIS Consortium data will NOT be made available to the public.
main_script.R- R script containing code used to run all analyses (calls functions and additional scripts when necessary)
Folder Contents
Functions - contains functions written to facilitate data analysis (called via
main_script.R)
Data Sets - folder containing all data sets analysed (NOTE: does NOT include data sets analysed for the manuscript)
Population Data Sets
1. World Bank population estimates: https://data.worldbank.org/indicator/SP.POP.TOTL2. Office for National Statistics (UK): https://www.ons.gov.uk/timeseriestool?topic=/peoplepopulationandcommunity/populationandmigration/populationestimates/timeseries
Distributed under the GNU General Public License v3.0. Please see LICENSE for more information.
| Publication | Repository | DOI |
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| Lancet Digital Health 2021 | access here |
If you have any queries, suggestions or concerns, please get in touch.
Repository PUBLIC status since: 22/03/2023 |
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