Global Health Data Exchange - Discover the World's Health Data

IHME Data

Download datasets created by IHME for our research projects and publications. You can learn more about our research and publications on our website.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. These location hierarchies files contain the GBD 2015 reporting hierarchy and a number of other hierarchies, which will allow GBD 2015 results users to aggregate results by location in various ways (by GBD regions, World Bank regions, OECD countries, European Union countries, etc.).

IHME research used de-identified death records from the National Center for Health Statistics (NCHS) and population counts from the U.S. Census Bureau, NCHS, and the Human Mortality Database and small area estimation models in order to estimate county-level mortality rates from 29 cancers. This dataset provides estimates for age-standardized mortality rates by cancer type and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in rates for each location during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each cancer type in 2014 and the top 10 causes of death by cancer type for each county. Study results were published in JAMA in January 2017 in "Trends and patterns of disparities in cancer mortality among US counties, 1980-2014."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

As part of this study, the health burden associated with systolic blood pressure (SBP) ≥ 110-115 mm HG and SBP ≥ 140 mm HG (hypertension) was analyzed. Estimates for deaths, YLLs, YLDs, and DALYs attributable to SBP ≥ 110-115 mm HG (high systolic blood pressure) by age and sex for 21 regions, 195 countries and territories and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include deaths and DALYs attributable to hypertension and the web tables published in JAMA in January 2017 in "Global Burden of Hypertension and Systolic Blood Pressure of at least 110 to 115 mm HG, 1990-2015."

IHME research produced estimates on US health care spending by age, sex, condition, and type of care, from 1996 through 2013, for children and adolescents ages 19 years and younger. Government budgets, insurance claims, facility surveys, household surveys, and official US records for the period were collected and combined. In total, 183 sources of data were used to estimate spending for 155 conditions. For each record, spending was extracted, along with the age and sex of the patient, and the type of care. Study results were published in JAMA Pediatrics in December 2016 in “Spending on Children’s Personal Health Care in the United States, 1996-2013.”

IHME research produced estimates for US health care spending by age, sex, condition, and type of care from 1996 to 2013. Government budgets, insurance claims, facility surveys, household surveys, and official US records for the period were collected and combined. In total, 183 sources of data were used to estimate spending for 155 conditions (including cancer, which was disaggregated into 29 conditions), and 38 age and sex groups. For each record, spending was extracted, along with the age and sex of the patient, and the type of care. Study results were published in JAMA in December 2016 in “US Spending on Personal Health Care and Public Health, 1996-2013.”

IHME research produced alcohol use prevalence estimates (including estimates for any drinking, heavy drinking, and binge drinking) by county, year, and sex for 2002-2012. The data also include changes by percent for the period. The estimates were produced by applying small area models to data from the Behavioral Risk Factor Surveillance System (BRFSS). This dataset contains estimates for all states and counties, the District of Columbia, and the US as a whole, along with data on the 10 counties with the highest and lowest rates of any, heavy, and binge drinking by sex. Study results were published in the American Journal of Public Health in April 2015 in "Drinking patterns in US counties from 2002 to 2012."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability, years of life lost (YLLs), prevalence, and incidence for 32 cancer groups by age and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in December 2016 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 32 Cancer Groups, 1990-2015: A Systematic Analysis for the Global Burden of Disease Study."

IHME research applied a novel methodology to death registration data from the National Vital Statistics System (NVSS) in order to estimate annual county-level mortality rates for 21 mutually exclusive causes of death. This dataset provides estimates for cause-specific age-standardized mortality rates at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each cause in 2014. Study results were published in JAMA in December 2016 in "US county-level trends in mortality rates for major causes of death, 1980–2014."

IHME research, published in Diabetes Care in August 2016, "Diagnosed and Undiagnosed Diabetes Prevalence by County in the U.S., 1999–2012," produced estimates by county and sex for the prevalence of diagnosed, undiagnosed, and total diabetes, as well as rates of diagnosis and effective treatment for 1999-2012. The dataset contains estimates for all states and counties, the District of Columbia, and the United States as a whole.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

This reference life table is used in GBD to calculate Years of Life Lost (YLLs). It was constructed based on the lowest estimated age-specific mortality rates from all locations with populations over 5 million in the 2013 iteration of GBD. YLLs are computed by multiplying the number of estimated deaths by the reference life table’s life expectancy at age of death. The table includes estimates for the probability of death within an age range, the proportion of the hypothetical cohort still alive at age x, and life expectancy at age x for ages 0 to 110+ at five-year intervals.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. These tables contain International Classification of Diseases (ICD) codes, for both ICD-9 and ICD-10, mapped to GBD 2015 causes of death and nonfatal causes.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a summary measure of a geography's socio-demographic development. It is based on average income per person, educational attainment, and total fertility rate (TFR). SDI contains an interpretable scale: zero represents the lowest income per capita, lowest educational attainment, and highest TFR observed across all GBD geographies from 1980 to 2015, and one represents the highest income per capita, highest educational attainment, and lowest TFR. This dataset provides tables with SDI values for all estimated GBD 2015 geographies for 1980–2015 and groupings by geography based on 2015 values.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in all models of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for 296 covariates for 195 countries and territories, plus 4 United Kingdom subnational units for 1980-2015 used in the GBD 2015 study. Data files are available to download at this location. Please note that data for England is not included for some covariates.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Disability weights, which represent the magnitude of health loss associated with specific health outcomes, are used to calculate years lived with disability for these outcomes in a given population. The weights are measured on a scale from 0 to 1, where 0 equals a state of full health and 1 equals death. This dataset provides the disability weights for the 235 unique health states used to estimate nonfatal health outcomes for the GBD 2015 study. These data were published in The Lancet in October 2016 in "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset provides population estimates for 21 GBD regions, 195 countries and territories, and 4 United Kingdom subnational units by age and sex for 1970-2015. Data sources used to produce these estimates include World Population Prospects: 2015 Revision, from the United Nations Population Division, and the WHO Human Mortality Database.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 195 countries and territories. Estimates for HIV/AIDS incidence, prevalence, and mortality by country, age, and sex for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available for download in this record include select tables published in The Lancet in July 2016 in "Global, regional, and national incidence, prevalence, and mortality for HIV, 1980-2015: estimates from the Global Burden of Disease Study 2015." The tables include estimates of antiretroviral therapy (ART) coverage for 2015 and HIV-specific mortality for patients on ART.

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

This dataset measures progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two-thirds from 1990-2015. Estimates for neonatal, infant, and under-5 mortality for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include tables published The Lancet in October 2016 in "Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980‐2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Estimates for deaths, YLLs, YLDs, and DALYs attributable to 79 risk factors by age, sex, and location and estimates for summary exposure values (SEVs) for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include select tables, including relative risks, published in The Lancet in October 2016 in "Global, regional and national comparative risk assessment of 79 behavioral, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and estimates for healthy life expectancy (HALE) by age and sex for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Study results were published in The Lancet in October 2016 in "Global, regional, and national disability-adjusted life years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Estimates for incidence, prevalence, and years lived with disability (YLDs) by cause, age, and sex for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Study results were published in The Lancet in October 2016 in "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.

Life expectancy estimates by age and sex and estimates for deaths and years of life lost (YLLs) by cause, age, and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 are available from the GBD Results Tool. Files available in this record include select tables published in The Lancet in October 2016 in "Global, regional, and national life expectancy, all-cause and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015."

The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, and national level from 1990 to 2015.

The United Nations General Assembly established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. This dataset provides estimates, based on the GBD 2015 study, for 33 health-related SDG indicators for 188 countries from 1990 to 2015. These 33 individual health-related SDG indicators were used to construct the health-related SDG index, a summary measure of overall performance across the health-related SDGs.
 
The results were published in The Lancet in September 2016 in "Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015."

This update of the Development Assistance for Health (DAH) Database includes estimates for 1990-2015, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for health projects in developing countries from key agencies. The data are disaggregated by funding agency, country and geographic region, and health focus area. New in 2015 is a program area disaggregation within HIV/AIDS health focus areas.

To understand the framework used to track DAH, users of the DAH Database 1990-2015 should review IHME's Financing Global Health 2015 policy report and methods annex.

As part of a study to analyze the measurement of health service provision in low- and middle-income countries (LMICs), IHME researchers developed a simulation environment which reproduces the characteristics of health service production in LMICs, and evaluated the performance of Data Envelopment Analysis (DEA) and Stochastic Distance Function (SDF) for assessing efficiency. The attached archive contains the code used in this study, which is described in the following publication:

Di Giorgio L, Flaxman AD, Moses MW, Fullman N, Hanlon M, Conner RO, Wollum A, Murray CJL. Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model. PLoS ONE 11(1): e0147261. doi:10.1371/journal.pone.0147261.

This dataset contains estimates of maternal and child health (MCH) indicators in Uganda at the regional and national levels. These estimates were produced by the Institute for Health Metrics and Evaluation (IHME) and the Infectious Diseases Research Collaboration (IDRC) by using multiple data sources and applying complex modeling approaches. Trend estimates in this dataset include under-5 mortality, indicators of childhood nutrition (prevalence of underweight and stunting among children under 5), and a range of MCH interventions including malaria control, childhood immunizations, and other key MCH interventions such as antenatal care, skilled birth attendance, and exclusive breastfeeding. Regional estimates for a number of socio-economic indicators, including women’s educational attainment and household characteristics, are also available.

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download from this record include the tables published in The Lancet in September 2015 in "Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." These tables include estimates of deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs), as well as DALYs attributable to risk factors by sex, in England for 1990 and 2013.

Data files containing the full results set are available for download from this location.

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in The Lancet in September 2015 in "Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." These tables include population attributable fractions (PAFs) for 2013 and estimates of deaths and disability-adjusted life-years (DALYs) for 1990 and 2013 attributable to each risk factor. Estimates of deaths and DALYs for 1990 and 2013 attributable to each risk-outcome pair can be found in the web tables.

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in The Lancet in August 2015 in "Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition." These tables include estimates of DALYs by country and cause and HALE by country and sex for 1990, 2005, and 2013. 

This dataset contains estimates of maternal and child health (MCH) indicators in Nigeria at the state and national levels. These estimates were produced by the Institute for Health Metrics and Evaluation (IHME) by using multiple data sources and applying complex modeling approaches. Trend estimates in this dataset include under-5 mortality, indicators of childhood nutrition (prevalence of underweight, stunting, and wasting among children under 5), and a range of MCH interventions including malaria control, childhood immunizations, and other key MCH interventions such as skilled birth attendance, exclusive breastfeeding, and prevalence of modern contraceptive use.

This 2014 update of the Development Assistance for Health (DAH) Database includes estimates for 1990-2014, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for health projects in developing countries from key agencies. The data are disaggregated by funding agency, country and geographic region, and health focus area.

To understand the framework used to track DAH, users of the DAH Database 1990-2014 should review IHME's Financing Global Health 2014 policy report and methods annex.

An updated version of the database with DAH estimates through 2015 is now available.

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in JAMA Oncology in May 2015 in "The Global Burden of Cancer 2013," and additional tables available from IHME's website. These tables include estimates of cancer incidence, mortality, and disability-adjusted life years (DALYs) globally and by country in 1990 and 2013. 

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in The Lancet in June 2015 in "Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." These tables include estimates of incidence, prevalence, and years lived with disability (YLDs) by country, age, cause, and sequelae in 1990 and 2013. 

These data capture the development assistance for health (DAH) provided to faith-based organizations (FBOs), as divided among FBO and non-FBO funding. The data available for download also show FBO DAH divided by health focus area as well as by funder, providing the FBO DAH furnished by the Global Fund and the Gates Foundation. These results were published in PLOS One in May 2015 in "Estimating the development assistance for health provided to faith-based organizations, 1990-2013."

These are IHME results data from a global analysis of educational attainment spanning the last 50 years. These data are an update to earlier estimates (Educational Attainment and Child Mortality Estimates by Country 1970-2009) and inform the policy report "A Hand Up: Global Progress Towards Universal Education," as well as the Social Determinants of Health Visualization, which is supported by the Center for Health Trends and Forecasts at IHME.

This data file provides estimates of average years of educational attainment per capita for people over the age of 15 for the years 1970-2015 by year, sex, and age group for 188 countries, 21 GBD regions, 7 GBD super regions, and the global aggregate. Age-standardized and population-weighted estimates are included for females 15-44 and for both sexes for the age group 25+.

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Zambia are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Uganda are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Kenya are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey. 

The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. The ABCE Facility Survey in Ghana collected data from a nationally representative sample of health facilities on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations. The dataset available for download provides information at the facility-year level.

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally and for 21 regions.

The sixth Millennium Development Goal (MDG 6) brought special attention to HIV, tuberculosis, and malaria. This dataset provides estimates of mortality and incidence for each of the three diseases, as well as prevalence of HIV and tuberculosis, for 188 countries, 21 regions, and globally by age group and sex, for 1990-2013. The results were published in The Lancet in July 2014 in "Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." 

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally and for 21 regions. Death and YLL results were published in The Lancet in December 2014 in "Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013." Files available from this record are the tables contained in the article. GBD 2010 DisMod source code for estimation and the source code for the updated GBD 2013 methods are both available online.

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally and for 21 regions.

This dataset measures progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two-thirds from 1990-2015. The data provide under-5 mortality numbers and rates per 1,000 live births for 188 countries, 21 regions, and globally by age group and sex, for 1990-2013. It also includes a Shapley decomposition analysis of the change in the number of under-5 deaths related to changes in various factors, from 1990-2013. The results were published in The Lancet in May 2014 in "Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: a systematic analysis from the Global Burden of Disease Study 2013."

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally and for 21 regions. The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio between 1990 and 2015.

This dataset provides the number of maternal deaths by cause and by timing with respect to delivery, and the maternal mortality ratio, for 188 countries, 21 regions, and globally by age group and sex, for 1990-2013. The results were published in The Lancet in May 2014 in “Global, regional, and national levels and causes of maternal mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.”

The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally and for 21 regions. This dataset provides prevalence of overweight and obesity, and obesity alone, for 188 countries, 21 regions, and globally by age group and sex, for 1990-2013. The results were published in The Lancet in May 2014 in "Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013." 

These data provide results from IHME's Malaria Control Policy Assessment (MCPA) project. Trend estimates are provided at country and district levels for a range of indicators including under-5 mortality, prevalence of childhood underweight, sociodemographic factors such as mean household size and average years of education, and coverage of child and maternal health interventions including malaria control, immunizations, exclusive breastfeeding, antenatal care, and skilled birth attendance for years 1990-2010.

This 2013 update of the Development Assistance for Health (DAH) database includes estimates for 1990-2011, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies.

The DAH database enables comprehensive analysis of trends in international disbursements for health from sources of funding and channels of funding and for recipient countries/geographic regions in health focus areas. The data associated with previous versions of IHME's Financing Global Health report were presented as two databases, the DAH country and regional recipient level database, and the DAH database. This year, in an effort to make the data more accessible to researchers, these databases have been combined.

To understand the framework used to track DAH, we recommend that users of the DAH database 1990-2011 review IHME's Financing Global Health 2013 policy report and methods appendix.

IHME research published in Population Health Metrics in March 2014, "Cigarette smoking prevalence in US counties: 1996-2012," provides prevalence estimates by county, year, and sex from 1996-2012. These files also include annualized rates of change by county.

These are IHME results data from a global analysis of tobacco use published in the Journal of the American Medical Association in January 2014.  The study, "Smoking Prevalence and Cigarette Consumption in 187 countries, 1980-2012," provides smoking prevalence, cigarette consumption, and annual rate of change estimates by country and sex from 1980 to 2012. 

These data were collected as part of the Population Health Metrics Research Consortium (PHMRC) project. The files contain verbal autopsies (VAs) that were collected at six sites in four countries (India, Mexico, Tanzania, and the Philippines) using a standardized VA questionnaire developed by the PHMRC. The three datasets correspond to the main questionnaire subcomponents: neonate, child, and adult. The individual VAs are matched with "gold standard" diagnoses of underlying causes of death, which were established from medical records using stringent diagnostic criteria, including laboratory, pathology and medical imaging findings. All "open narrative" portions of the VAs were parsed for individual words or stems, which are included as variables in the final dataset, to remove any potentially identifying information in that portion of the interview. Variables that were analyzed as "health care experience" in past research are identified in the codebook.

The GBD Study 2010 (http://www.healthdata.org/gbd) estimated the burden of diseases, injuries, and risk factors globally and for 21 regions for 1990 and 2010.

These files provide estimates for relative risks due to exposure to particulate matter for ischemic heart disease, stroke, chronic obstructive pulmonary disease, lung cancer, acute lower respiratory infection, and the code used to create the estimates. The integrated exposure response curve is based on studies on exposure to ambient air pollution, second hand tobacco smoke, household air pollution, and active smoking.

The GBD Integrated Exposure-Response functions were published in the Journal of Environmental Health Perspectives and presented at the 2013 annual meeting of the International Society for Environmental Epidemiology in Basel, Switzerland (http://ehp.niehs.nih.gov/ehbasel13/?s=burnett ).  The paper and slides from the presentation are provided here.

Pages

Subscribe