IHME Data

Estimates were produced for exclusive breastfeeding (EBF) prevalence among infants under 6 months of age at the 5x5 km-level in 49 countries in Africa between 2000-2017. These estimates were produced using data extracted from 188 household surveys that had complete records of questions relating to infant feeding and geographical information. The surveys include the Demographic and Health Survey (DHS), Multiple Indicator Cluster Survey (MICS), and country‐specific and other multinational surveys.

This dataset includes the following:

• GeoTIFF raster files for pixel-level estimates of EBF prevalence
• CSV files of aggregated estimates for each country at the zero, first, and second administrative divisions
• Code files used to generate the estimates

IHME researchers participated in study that applied statistical mapping techniques to the most extensive database of dengue case locations to date to predict global environmental suitability for the virus as of 2015. The database was created with published literature, case reports, and informal online sources, with usable location information extracted from each source. The final occurrence database contains 13,604 unique occurrences, which represent a unique location where one or more dengue cases occurred within one year.

The database includes the following:

• A dengue occurrence point dataset, which contains precise point locations where dengue has occurrence in the past
• A dengue occurrence polygon dataset, which contains small administrative units within which dengue has occurred in the past
• Other disease background points, which contains point locations where other non-dengue infectious diseases have occurred in the past

Estimates were produced for HIV prevalence among adults ages 15-49 and the corresponding number of people living with HIV (PLHIV) at the 5x5 km-level in 47 countries in Africa between 2000-2017. These estimates were produced using data on HIV and geographical locations from seroprevalence surveys and sentinel surveillance of antenatal care clinics.

This dataset includes the following:

• GeoTIFF raster files for pixel-level estimates of HIV prevalence, PLHIV, and eight covariates constructed for the analysis: prevalence of male circumcision, self-reported STI symptoms, marriage or living with a partner as married, one’s current partner living elsewhere, condom use at last sexual encounter, reported intercourse among young adults, and multiple partners in the last year for men and for women
• CSV files of aggregated HIV prevalence and PLHIV estimates for each country at the zero, first, and second administrative divisions
• Code files used to generate the estimates

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2017-2050 for 195 countries and territories. The estimates cover total health spending, and health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private) and development assistance for health (DAH). Retrospective health spending estimates for 1995-2016 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2018 US dollars, constant 2018 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2018, 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 low- and middle-income countries from key agencies. The data are disaggregated by source of funds, channel of funding, country and geographic region, health focus areas, and program areas. New in 2018: the addition of China as a source of funding; the inclusion of the Coalition for Epidemic Preparedness Innovations and European Economic Area as channels of disbursements; and the addition of drug resistance/antimicrobial resistance (AMR) as a program area.

To understand the framework used to track DAH, users of the database should review IHME's Financing Global Health 2018 report and methods annex.

Estimates were produced for diphtheria-pertussis-tetanus (DPT) vaccine coverage and dropout for children ages 12-23 months at the 5x5 km-level in 52 countries in Africa between 2000-2016. These estimates were produced using data from 183 population-based household surveys conducted in Africa between 2000 and 2016 that included dose-specific information on DPT coverage (from vaccine cards or maternal recall in the absence of vaccine cards) and subnational geographical location for children ages 12-59 months.

This dataset includes the following:

• GeoTIFF raster files for pixel-level estimates of DPT1 coverage (the proportion of children who received one or more doses of DPT), DPT3 coverage (three or more doses), and relative and absolute DPT1-3 dropout
• CSV files of aggregated estimates for each country at the first and second administrative divisions
• Code files used to generate the estimates

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a follow-up health facility survey conducted in five departments in Nicaragua. In total, 60 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting retrospective data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a follow-up health facility survey conducted in the departments of Huehuetenango and San Marcos in Guatemala. In total, 60 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting retrospective data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a health facility survey conducted in the socioeconomic regions of Huetar Atlántica and Brunca in Costa Rica. In total, 60 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a follow-up health facility survey conducted in the state of Chiapas in Mexico. In total, 60 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting retrospective data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline health facility survey conducted in eight departments in El Salvador. In total, 65 facilities were surveyed. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline health facility survey conducted in five departments in Nicaragua. In total, 64 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting retrospective data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline health facility survey conducted in the departments of Huehuetenango and San Marcos in Guatemala. In total, 93 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting retrospective data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline health facility survey conducted in the state of Chiapas in Mexico. In total, 90 facilities were surveyed. These represent facilities that provide ambulatory-, basic-, and complete-level Essential Obstetric and Neonatal Care (EONC) services. Surveyors collected data through interviews with facility personnel and direct observation. They recorded information on general facility characteristics, infrastructure, staff, supplies, equipment, and the availability of key maternal and child health care services. They also performed medical record reviews, extracting retrospective data on record-keeping, family planning, treatment practices related to uncomplicated births and medical complications experienced by mothers or infants during delivery, and child medical services.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline household census and baseline household survey conducted in five departments in Nicaragua, in both intervention and control areas. The census captured basic demographic characteristics of all usual household occupants and was used to produce a sample of households containing eligible women (ages 15-49) and children (ages 0-59 months) for the household survey. In the household survey, any household heads and all eligible women were interviewed. Information was collected on additional demographic characteristics; healthcare use, access, and expenditures; and perceived quality of key interventions for women of reproductive age and children. Height, weight, and anemia measurements were taken for children under age 5. Dried blood spot (DBS) measurements were taken for children ages 12-23 months.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline household census and baseline household survey conducted in eight departments in El Salvador. The census captured basic demographic characteristics of all usual household occupants and was used to produce a sample of households containing eligible women (ages 15-49) and children (ages 0-59 months) for the household survey. In the household survey, any household heads and all eligible women were interviewed. Information was collected on additional demographic characteristics; healthcare use, access, and expenditures; and perceived quality of key interventions for women of reproductive age and children. Height, weight, and anemia measurements were taken for children under age 5.

The Salud Mesoamérica Initiative (SMI) focuses on reducing inequalities in maternal and child health in Mesoamerica. This dataset is the product of an SMI impact evaluation. It includes results of a baseline survey of women of reproductive age conducted in three districts in Belize: Cayo, Corozal, and Orange Walk. The survey employed a Lot Quality Assurance Sampling (LQAS) methodology. The target sample size was 350 women. In half of the sample locations selected, eligible women (ages 15-49) were interviewed through convenience samples taken in public spaces such as markets and town centers. In the other half of the locations, all eligible women were interviewed at randomly selected households. Information was collected on demographic characteristics; healthcare access and use; and perceived quality of key interventions for women of reproductive age and children.

As part of an analysis of the availability and quality of birth registration data worldwide, researchers from IHME and the Melbourne School of Population and Global Health compiled publicly available birth registration records into a novel birth registration database. They acquired 4,918 country-years of data from 145 countries covering the period 1948-2015. Data were collected from the United Nations Statistical Division (UNSD) database, Eurostat, and directly from national statistical offices and ministry of health databases. For each country-year, this database contains the number of registered live births by age of the mother, sex of the newborn, birth order, and birthweight. Results of the analysis were published in December 2018 in Population Health Metrics in "How useful are registered birth statistics for health and social policy? A global systematic assessment of the availability and quality of birth registration data."

The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) for tuberculosis by age and sex for 1990-2016 are available from the GBD 2016 Results Tool. Information about the input sources used to produce these estimates is available in the GBD 2016 Data Input Sources Tool. Files available in this record web tables published in The Lancet in November 2018 in "Global, regional, and national burden of tuberculosis, 1990–2016: results from the Global Burden of Diseases, Injuries, and Risk Factors 2016 Study."

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates of life expectancy and all-cause mortality, including under-5 mortality, are available from the GBD Results Tool. Estimates are available by age, sex, and location for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017” are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates for incidence, prevalence, and years lived with disability (YLDs) are available from the GBD Results Tool. Estimates are available by age and sex for 354 causes for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

Estimates for deaths, YLLs, YLDs, and DALYs attributable to 84 risk factors by age and sex as well as estimates for summary exposure values (SEVs) by risk are available from the GBD Results Tool for 1990-2017. Select tables published in The Lancet in November 2018 in "Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.

This dataset provides population estimates by the following for 1950-2017: location; single calendar year; single year of age, 5-year age group, and select custom aggregate; and sex. Data sources used to produce these estimates came from 1,257 censuses and 761 population registry location-years.

Results of an analysis related to these data were published in The Lancet in November 2018 in "Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease 2017.”

For additional GBD results and resources, visit the GBD 2017 Data Resources page.

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries.

Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level.

This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.