How do input data become GBD estimates? Walk through the estimation process for mortality trends for children and adults for 188 countries using the revamped Mortality visualization. See source and comparative data and step through the stages in the estimation process to reveal the final mortality estimates from 1970 to 2013.
Where do we have the best data on different health conditions? For any age group, see where various data sources have placed trends in causes of death over time. You can examine more than 200 causes in both adjusted and pre-adjusted numbers, rates, and percentages for 188 countries.
How did life expectancy and probability of death change between 1990 and 2013 for 188 countries? Examine changes in life expectancy and see how causes contributed to changes in life expectancy. Explore the probability of death by age group, location, sex and year.
View trends in development assistance for health (DAH) from 1990 to 2013 with interactive bar charts, maps, and scatterplots. Explore DAH levels and changes over time by source, channel, recipient region, and health focus area. Compare DAH given or received to population, disability-adjusted life years, gross domestic product, and government health expenditure.
This interactive data visualization tool shows modeled trends in tobacco use and estimated cigarette consumption worldwide and by country for the years 1980 to 2012. Data were derived from nationally representative sources that measured tobacco use and reports on manufactured and nonmanufactured tobacco.
Analyze the world’s health levels and trends in one interactive tool. Use treemaps, maps, and other charts to compare causes within a country, compare countries with regions or the world, and explore patterns and trends by country, age, and gender. Drill from a global view into specific details. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.
Explore ranks and changes for causes or risk factors based on deaths, YLLs, YLDs, and DALYs for 1990 and 2010. Also, see changes in the ranking of causes or risk factors between 1990 and 2010. You can explore these ranks by age group, sex, region, and country.
Compare how a given set of 21 cause groups affects specific age groups in countries in terms of death and disability. Change the country, year, metric, and sex to view results for absolute numbers, rates, and percentages. Also, further explore the cause groups by viewing specific diseases, injuries, or risk factors within them.