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Leading risk factors for disability-adjusted life years in different SDI countries

Countries withSocio-demographic Index


Source: The Lancet Global Health Metrics

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A simple visualisation that shows leading risk factors for number of years lost due to overall disease burden, in countries with different Socio-Demographic Indexes.

Yu Liang Weng

Yu Liang Weng

23 August 2021

This visualisation is produced based on figures S1a to S1j (supplementary appendix 2a) in the study 'Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019' (DOI) - The Lancet Global Health Metrics.

Datasets for the SDI search component were downloaded from Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Socio-Demographic Index (SDI) 1950–2019. Seattle, United States of America: Institute for Health Metrics and Evaluation (IHME), 2020 (DOI), and was converted to JSON formats.
You can use the selection box at the bottom right to view risk factors in countries with other level of SDI.
Top 10 risk factors are listed for each year of 1990, 2010 and 2019, regardless of risk's ranking in other years. Each risk factor belongs to certain category and is highlighted with different colours.
SDI (Socio-demographic Index) - an summary metric on a scale of zero to one (best) measures the composite average of the rankings of the incomes per capita, average educational attainment, and fertility rates of all areas in the GBD study. (source)
DALY (disability-adjusted life year) - a metric summaries overall disease burden into number of years of life lost due to ill-health, disability or early death.
The source code is hosted on website's GitHub repository, you can find it here.
The visualisation is created using React and nivo bump chart. After setup a React website, install the following dependencies:
npm install @nivo/core @nivo/bump styled-components, or replace npm install with yarn add if you are using Yarn.
Code and content for the visualisation are covered by a Creative Commons license (CC BY-SA 4.0).
Datasets for the SDI search component are covered by a CC BY-NC 4.0 license (Attribution-NonCommercial).

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