Sample data on tobacco use from STEPs Core Instrument v3.2

This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbdNote : Value -99 indicates that no data is available.A detailed description of the methodology and additional resources related to this topic can be found here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the IHME website: http://www.healthdata.org/gbd

This layer represents the percentage of Disability-Adjusted Life Year attributable to unsafe sanitation in 2015, for 5 to 14 year-old females. Data for other age ranges are also available in the table.One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis A for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

Abstract

The India State-Level Disease Burden Initiative reported an unprecedented comprehensive assessment of the diseases causing the most premature deaths and ill-health in each state of the country, the risk factors responsible for this burden, and their trends spanning 26 years from 1990 to 2016. The burden from 333 disease conditions and injuries and 84 risk factors was computed for each state of India as part of the Global Burden of Disease Study 2016.

Documentation

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Methodology

The India State-Level Disease Burden Initiative was launched in October 2015. It is a collaboration between the Indian Council of Medical Research (ICMR), the Public Health Foundation of India (PHFI), Institute for Health Metrics and Evaluation (IHME), and senior experts and stakeholders currently from about 100 institutions across India. This Initiative reported an unprecedented comprehensive assessment of the diseases causing the most premature deaths and ill-health in each state of the country, the risk factors responsible for this burden, and their trends spanning 26 years from 1990 to 2016. The burden from 333 disease conditions and injuries and 84 risk factors was computed for each state of India as part of the Global Burden of Disease Study 2016.

The report “India: Health of the Nation's States — The India State-Level Disease Burden Initiative” details the main findings and is accompanied by the technical paper “Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study” published in The Lancet and an open access interactive visualization tool India GBD Compare to easily understand the disease burden trends over time across the states.

This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis E for 50-69 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

Table S1: National-level prevalence of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/). Table S2: National-level deaths of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/). Table S3: Nation-al-level Disability adjusted life years (DALYs) of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/).

We obtained the analyzed data from the public repository of the Global Burden of Disease (GBD) study (https://vizhub.healthdata.org/sdg/#0 and http://ghdx.healthdata.org/record/ihme-data/gbd-2017-health-related-sdgs-1990-2030). However, under the request of the International Journal for Equity in Health in order to contribute to transparency and replicability of research, the authors of the study entitled “Human resources for health and maternal mortality in Latin America and the Caribbean over the last three decades: a systemic-perspective reflections”, made the data available. Any other use than exploring or replicating the results of the above-mentioned paper is not authorized and shall not be used without the previous authorization of the investigators. If you are interested in analyzing this database for original research purposes please contact Edson Serván Mori (eservan@insp.mx).

This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

Raw data sets for life tables in Brazil between 1950-2020, originally from the GHDx website.

This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water sources for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.

Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.

Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

Example Data

This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water sources for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

This layer represents the percentage of total Disability-Adjusted Life Years (DALYs) attributable to the lack of access to handwashing facility in 2015, for 5 to 14 year-old males.One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis A for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

Prior template for requested daily data reports on testing, capacity and utilization, and patient flows to facilitate the public health response to the 2019 Novel Coronavirus (COVID-19).

This layer represents the percentage of total Disability-Adjusted Life Year attributable to typhoid fever for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

This layer represents the percentage of total Disability-Adjusted Life Year attributable to typhoid fever for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

We obtained the analyzed data from the public repository of the Global Burden of Disease (GBD) study (http://ghdx.healthdata.org). However, under the request of The Lancet Regional Health – Americas and in order to contribute to transparency and replicability of research, the authors of the study entitled “Persistent inequities in maternal mortality in Latin America and the Caribbean, 1990-2019”, made the data available. Any other use than exploring or replicating the results of the above-mentioned paper is not authorized and shall not be used without the previous authorization of the investigators. If you are interested in analyzing this database for original research purposes please contact Edson Serván Mori (eservan@insp.mx).