Analyze data about India’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks and explore patterns and trends by age and sex. Drill from a national view into specific details. Compare expected and ob...served trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.
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The Country Profiles provide an overview of findings from the Global Burden of Disease (GBD). They are based on over 80,000 different data sources used by researchers to produce the most scientifically rigorous estimates possible. Estimates from the GBD study may differ from national statistics due ...to differences in data sources and methodology. These profiles are meant to be freely downloaded and distributed
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Everyone, all over the world, deserves to live a long life in full health. In order to achieve this goal, we need a comprehensive picture of what disables and kills people across countries, time, age, and sex. The Global Burden of Disease (GBD) provides a tool to quantify health loss from hundreds o...f diseases, injuries, and risk factors, so that health systems can be improved and disparities can be eliminated.
You can have access to GBD Resources, Data Visualizations, Studies & Reports; Data, Country Profiles and the Lancet GBD Studies
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This booklet provides an overview of all findings from the Global Burden of Disease 2017 study. Published in The Lancet in November 2018, GBD 2017 provides for the first time an independent estimation of population, for each of 195 countries and territories and the globe, using a standardized, repli...cable approach, as well as a comprehensive update on fertility. Produced with the input of 3,676 collaborators from 146 countries and territories, GBD 2017 incorporates major data additions and improvements, and methodological refinements. GBD 2017 also includes estimates at the subnational level for selected locations.
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Accessed 22nd March 2019.
The purpose of the Global Research on AntiMicrobial resistance (GRAM) Project is to generate accurate and timely estimates of the magnitude and trends in antimicrobial resistance (AMR) burden across the world, which can be used to inform treatment guidelines and agendas for decision-making and resea...rch, detect emerging problems and monitor trends to inform global strategies, as well as facilitate the assessment of interventions over time.
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This document contains summary information on the latest projections from the IHME model on COVID-19
in Brazil. The model was run on July 15, 2022, with data through July 13, 2022.
Website last accessed on 08.09.2022