ex2020
Code to replicate 'Quantifying impacts of the COVID-19 pandemic through life expectancy losses: a population-level study of 29 countries'
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: medrxiv.org, zenodo.org -
○Academic email domains
-
✓Institutional organization owner
Organization oxforddemsci has institutional domain (www.demographicscience.ox.ac.uk) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.9%) to scientific vocabulary
Keywords
Repository
Code to replicate 'Quantifying impacts of the COVID-19 pandemic through life expectancy losses: a population-level study of 29 countries'
Basic Info
- Host: GitHub
- Owner: OxfordDemSci
- License: gpl-2.0
- Language: R
- Default Branch: master
- Homepage: https://www.medrxiv.org/content/10.1101/2021.03.02.21252772
- Size: 401 MB
Statistics
- Stars: 16
- Watchers: 5
- Forks: 3
- Open Issues: 0
- Releases: 5
Topics
Metadata Files
README.md
Quantifying impacts of the COVID-19 pandemic through life expectancy losses
A population-level study of 29 countries
Introduction
This is a repository to accompany 'Quantifying impacts of the COVID-19 pandemic through life expectancy losses: a population-level study of 29 countries'. A link to the open-access version of the paper can be found by clicking here. The replication files for this paper include customised functionality written in the R statistical programming language.
An interactive data visualisation relating to this work can be found here:
https://covid19.demographicscience.ox.ac.uk/lifeexpectancy
Prerequisites
As a pre-requisite to running this locally, you will need a working installation of R with all of the necessary dependencies installed.
Running the Code
To run this code, do something like:
console
$ git clone https://github.com/OxfordDemSci/ex2020.git
and then execute each of the scripts (0 through 10) which will undertake sequential tasks like defining skeletons, to undertaking the PCLM, cleaning outputs for analysis, and data visualisation
Structure
- cfg relates to: configuration files
- dat relates to: input source data
- out relates to: output data, figures, and sensitivity analysis
- src relates to: code to replicate the wrangling, analysis and visualisation
- tmp relates to: a subdir to store temporary files
- ass relates to: a place to store repo assets
Versioning
This version of the code is pre-publication (v.0.1.0). If you have any suggestions, please don't hesitate to raise an issue here on this repository, or to e-mail one of the corresponding authors of the paper!
License
This work is free. You can redistribute it and/or modify it under the terms of the GNU Public license and subject to all prior terms and licenses imposed by the free, public data sources provided by the HMD-STMF, CoverAge-DB, UK-ONS, and US-CDC (i.e. the 'data originators'). The code comes without any warranty, to the extent permitted by applicable law.
Acknowledgements
We are grateful to the extensive comments provided by Jim Oeppen, Alyson van Raalte, John Ermisch and Christiaan Monden. Funding was generously provided by a British Academy Newton International Fellowship, the Rockwool Foundations Excess Deaths grant, a Leverhulme Trust Large Centre Grant, a John Fell Fund grant, a European Research Council grant and the Interdisciplinary Centre on Population Dynamics (CPop).
Owner
- Name: Leverhulme Centre for Demographic Science
- Login: OxfordDemSci
- Kind: organization
- Location: Oxford
- Website: https://www.demographicscience.ox.ac.uk/
- Twitter: OxfordDemSci
- Repositories: 6
- Profile: https://github.com/OxfordDemSci
Disrupt and realign conventional thinking to infuse science into demography