The IRIS Consortium

iris_ldh_2022 → "IRIS Lancet Digital Health Journal Article 2022 Manuscript Code Repository"

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"

Overview

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

Data Protection

Due to data protection agreements, IRIS Consortium data will NOT be made available to the public.

Codebook

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.TOTL
2. Office for National Statistics (UK): https://www.ons.gov.uk/timeseriestool?topic=/peoplepopulationandcommunity/populationandmigration/populationestimates/timeseries

License

Distributed under the GNU General Public License v3.0. Please see LICENSE for more information.

Previous Publications and Repositories

Publication	Repository	DOI
Lancet Digital Health 2021	access here

Contact

If you have any queries, suggestions or concerns, please get in touch.

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Repository PUBLIC status since: 22/03/2023