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Africa Onchocerciasis Environmental Suitability Geospatial Estimates File icon

Estimates were produced for environmental suitability of onchocerciasis presence at the 5x5 km-level in endemic countries across Africa. These estimates were produced using a boosted regression tree (BRT) analysis trained on reported onchocerciasis presence data from endemicity mapping surveys, surveillance during elimination programs, and other sources. The model was trained using data from 1974–2015; final estimates were produced using covariate values for 2013.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of environmental suitability for onchocerciasis presence.
  • Code files used to generate the estimates.

United States COVID-19 Scenarios 2020-2021 File icon

This dataset represents estimates of the ongoing COVID-19 pandemic across the 50 U.S. States and DC through 28th February 2021. Projections for total and daily deaths, daily infections, and testing are included with hospital resource use statistics. In total five scenarios are presented: a 'plausible reference scenario,' which assumes social distancing mandates are re-imposed for 6 weeks when a threshold daily death rate of 8 per million is reached; a 'mandates easing' scenario, where mandates are not re-imposed; a 'universal mask-use' scenario, where mask utilization reaches 95% usage in public in every location; a less comprehensive mask scenario of 85% public use of masks (‘plausible reference + 85% mask-use’ scenario); and a scenario of universal mask wearing in the absence of any additional NPI (‘mandate easing + universal mask use’). These projections are produced with a model that incorporates data on observed COVID-19 deaths, hospitalizations, and cases, as well as multiple covariates.

United States Health-Care Spending Attributable to Modifiable Risk Factors 2016 File icon

This dataset is the result of a study to quantify health-care spending attributable to modifiable risk factors in the United States of America for 2016. Data from two existing studies were used to produce the estimates. The first dataset is the Institute for Health Metrics and Evaluation’s Disease Expenditure Study 2016, from which estimates of US health-care spending by condition, age, and sex were extracted. These results were merged with population attributable fraction estimates for 84 modifiable risk factors from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. Estimates were produced for spending by 14 aggregate conditions attributable to 19 risk factors. The estimates are by sex and 5 age groups and reported in 2016 US dollars.

Global Burden of Disease Study 2019 (GBD 2019) Demographics 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for fertility, population, migration, and all-cause mortality are available from the GBD Results Tool. Estimates are available by age and sex for 1950-2019. Select tables published in The Lancet in October 2020 in "Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Covariates 1980-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in models in all components and stages of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for 771 covariates for 1980-2019 used in the GBD 2019 study.

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For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Migration Estimates 1950-2018 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset provides migration estimates by location, sex, age, and single calendar year for 1950-2018. Data sources used to produce these estimates came from 1,250 censuses and 747 population registry location-years.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Life Tables 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset contains life tables with estimates for life expectancy and probability of death by location, single calendar year, age group, and sex for 1950-2019. The life tables contain both estimates produced including deaths from natural disasters, wars, etc., as well as estimates produced without these types of deaths. Locations covered include both GBD locations and special regions such as World Bank Income Levels. Data used to produce these tables came from vital registration (VR) systems, sample registration systems, household surveys, censuses, disease surveillance, and demographic surveillance systems (DSS).

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Low- and Middle-Income Drinking Country Water and Sanitation Facilities Access Geospatial Estimates 2000-2017 File icon

Annual estimates were produced for access to drinking water and sanitation Facilities at the 5x5 km-level for 90 low- and middle-income countries (LMICs) for 2000-2017. These estimates were produced using a geo-positioned dataset created from 634 household surveys. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of drinking water and sanitation facility coverage percent (percent of people with the given type of access) and number (number of people with the given type of access)
  • CSV files of aggregated estimates for each country at zero, first and second administrative divisions
  • Code files used to generate the estimates

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Global Burden of Disease Study 2019 (GBD 2019) Relative Risks File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset includes the following:

  • Relative risks used by age and sex for each outcome for all risk factors except for ambient air pollution, alcohol, smoking, and temperature
  • Relative risks used by age and sex for each outcome for the particulate matter integrated exposure response curve
  • Relative risks used by age and sex for each outcome for alcohol use globally
  • Relative risks used by age and sex for each outcome for smoking globally

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Cause, REI, and Location Hierarchies File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This set of files contain the following for GBD 2019: the cause hierarchy; the risk, impairment, etiology, and injury n-code (REI) hierarchy; and locations hierarchies. The GBD Locations Hierarchy file contains only GBD locations, including subnational locations for which results were released at the time of the study's publication. (Locations will be added as additional subnational results are released.) The All Locations Hierarchies file also includes hierarchies for other regions for which estimates were produced, such as WHO and World Bank regions. These files allow users to filter for sets of values by level or parent category, including cause or risk group, GBD super region or region, or custom region.

Global Burden of Disease Study 2019 (GBD 2019) Disability Weights File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Disability weights, which represent the magnitude of health loss associated with specific health outcomes, are used to calculate years lived with disability (YLD) 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 table provides disability weights for the 440 health states (including combined health states) used to estimate nonfatal health outcomes for the GBD 2019 study.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Cause List Mapped to ICD Codes File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This table contains the GBD 2019 cause list mapped to International Classification of Diseases (ICD) codes: ICD-10, ICD-10 used in hospital/claim analyses, ICD-9 and ICD-9 used in hospital/claim analyses.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Socio-Demographic Index (SDI) 1950–2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

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 2019 locations for 1950–2019.

Global Burden of Disease Study 2019 (GBD 2019) Population Estimates 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset provides population estimates for 1950-2019 by the following: 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 1,250 censuses and 747 population registry location-years.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Under-5 Mortality and Adult Mortality 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset provides annual estimates for under-5 mortality (5q0, or ages 0-4) and adult mortality (45q15, or ages 15-59), as expressed by probability of death, by sex for 1950-2019. For under-5 mortality estimation, 7417 sources were used. These included 28,016 location-years of vital registration data, 481 surveys with complete birth histories, and 1081 sources on summary birth histories. For adult mortality, 7355 sources were used. These included 7000 location-years of vital registration and 322 location-years of sample vital registration, 66 sources of household deaths, 102 censuses, and 133 surveys.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Fertility Estimates 1950-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

This dataset provides annual estimates for age-specific fertility rate (ASFR), total fertility fate (TFR), total fertility under 25 years (TFU25), net reproductive rate (NRR), live births, and crude birth rate for 1950-2019. Data sources used to produce the ASFR estimates came from 8078 location-years of vital registration data, and 439 complete birth histories and 628 summary birth histories from 938 surveys, 349 censuses, and 238 other sources.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

2019 Pregnancy Outcomes in Health Facilities in Kigoma Region, Tanzania: Final Report File icon

The CDC's Division of Reproductive Health monitors and evaluates activities of the Reducing Maternal Mortality in Tanzania Project in the remote Kigoma region of western Tanzania. As part of that project, this evaluation collected and analyzed data on maternal and perinatal health outcomes as well as the capacity and functionality of emergency obstetric and neonatal care (EmONC) services.

This endline evaluation used a pregnancy outcomes monitoring system (POMS) method to collect and examine data from 197 health facilities. This method collects data from labor and delivery registers, operating theater registers, admission and discharge registers, case notes, in-patient postpartum care registers, nurses' report books, and obstetric wards daily reports. The evaluation also employed a modified form of Rapid Ascertainment Process for Institutional Deaths (RAPID), a method that aims to identify all maternal deaths occurring in a facility.

Tanzania - Kigoma Health Facility Assessment of Emergency Obstetric and Neonatal Care Services 2019 File icon

The CDC's Division of Reproductive Health monitors and evaluates activities of the Reducing Maternal Mortality in Tanzania Project in the remote Kigoma region of western Tanzania. As part of that project, this endline survey collected data on changes in emergency obstetric and neonatal care (EmONC) capacity and quality, maternal and neonatal care and family planning, pregnancy outcomes, and maternal morbidity and mortality. Data were collected by visiting 197 health facilities and administering an enhanced health facility assessment (HFA) questionnaire.

Results of the survey are reported in "2019 Health Facility Assessment of Emergency Obstetric & Neonatal Care Services Kigoma Region, Tanzania: Final Report."

Tanzania - Kigoma Reproductive Health Survey 2018 File icon

The Kigoma Reproductive Health Survey 2018 is part of the Reproductive Health Survey (RHS) series. The survey provides regionally representative data for the mikoa of Kigoma, Tanzania. For the 2018 Kigoma RHS, 10,542 women ages 15-49 were surveyed from 10,021 households on topics including birth history, maternal health, perinatal care, health care access, health care use, family planning, health literacy, sexual behavior, and household living conditions. The Centers for Disease Control and Prevention (CDC) provides additional information on the RHS series here.

Global Burden of Disease Study 2019 (GBD 2019) UHC Effective Coverage Index 1990-2019 File icon

Estimates from the Global Burden of Disease Study 2019 (GBD 2019) were used to create an index which estimates global progress towards universal health coverage (UHC) and specifically UHC effective coverage in 204 countries and territories in 1990, 2010, and 2019. The UHC effective coverage index is comprised of 23 indicators drawn across a range of health service areas and is meant to represent healthcare needs over the life course. This dataset contains estimates for the UHC effective coverage index, each UHC effective coverage indicator, and indicator-specific weights by location-year. Code used to produce the estimates is also available for download.
 
Results were published in The Lancet in September 2020 in “Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019”.

Global Lymphatic Filariasis Prevalence Geospatial Estimates 2000-2018 File icon

Estimates were produced for lymphatic filariasis (LF) all-age prevalence at the 5x5 km-level in endemic countries across Africa, Asia, and Hispaniola, annually between 2000 and 2018. Bayesian time series estimates were produced for 17 small area geographies in South America, the Indian Ocean, and Oceania. These estimates were produced using data on LF and geographical locations from endemicity mapping surveys, sentinel surveillance surveys, transmission assessment surveys (TAS), and other sources.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of LF prevalence rate, counts, and posterior probability that prevalence was lower than 2% in 2018
  • CSV files of aggregated estimates of LF prevalence rate, count and posterior probability of prevalence below 2% (2018) for each country at the zero, first, and second administrative divisions
  • Code files used to generate the estimates

Sub-Saharan Africa Male Circumcision Geospatial Estimates 2000-2017 File icon

Annual estimates were produced for adult male circumcision (MC) prevalence and the number of circumcised and uncircumcised males ages 15-49 at the 5x5 km-level for 38 countries in sub-Saharan Africa between 2000 and 2017. These estimates were produced using a geo-positioned dataset created from 109 household surveys. Survey sources used include the Demographic and Health Survey (DHS), AIDS Indicator Survey (AIS), Multiple Indicator Cluster Survey (MICS), Core Welfare Indicators Questionnaire Survey (CWIQ), Population-based HIV Impact Assessment Survey (PHIA), and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of male circumcision (MC) prevalence and the number of circumcised and uncircumcised males ages 15-49
  • CSV files of aggregated circumcision estimates for each country at zero, first and second administrative divisions
  • Code files used to generate the estimates

Low- and Middle-Income Country Oral Rehydration Therapy Coverage Geospatial Estimates 2000-2017 File icon

Annual estimates were produced for oral rehydration therapy (ORT) coverage for children under 5 years of age who had diarrhea at the 5x5 km-level for 94 low- and middle-income countries (LMICs) between 2000-2017. These estimates were produced using a geo-positioned dataset created from 385 household surveys. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of oral rehydration therapy percent (percent of children with diarrhea who received treatment) and number (number of children with diarrhea who received treatment)
  • CSV files of aggregated oral rehydration therapy coverage percent and number for each country at zero, first and second administrative divisions
  • Code files used to generate the estimates

Global Burden of Disease Study 2019 (GBD 2019) Burden by Risk 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual deaths, YLLs, YLDs, and DALYs attributable to 87 risk factors as well as estimates for summary exposure values (SEVs) by risk are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019. Select tables published in The Lancet in October 2020 in "Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Burden of Disease Study 2019 (GBD 2019) Disease and Injury Burden 1990-2019 File icon

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) due to 369 diseases and injuries are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019. Select tables published in The Lancet in October 2020 in "Global burden of 369 diseases and injuries, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019" are also available for download via the “Files” tab above.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Global Educational Attainment Distributions 1970-2030 File icon

IHME researchers produced this dataset as part of an analysis measuring and forecasting progress by countries towards education-related Sustainable Development Goal (SDG) targets. Annual estimates were created for the average years of schooling and single-year distribution of educational attainment by sex for adults ages 25-29 for 1970 to 2018. Projections were also generated for these indicators to 2030. Estimates were created for the 195 countries and territories examined in the Global Burden of Disease 2017 study. The estimates were produced using a compiled database of 3,180 nationally representative surveys and censuses describing the distribution of years of schooling by age and sex.

Global Burden of Disease Study 2019 (GBD 2019) Life Expectancy and Healthy Life Expectancy 1990-2019

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for life expectancy and healthy life expectancy (HALE) are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019.

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

European Economic Area COVID-19 Hospital Needs and Death Projections

IHME has produced forecasts which show hospital bed use, need for intensive care beds, and ventilator use due to COVID-19 based on projected deaths for countries in the European Economic Area (EEA). Forecasts at the subnational level are included for three of these: Germany, Italy, and Spain. These projections are produced by models based on observed death rates from COVID-19, and include uncertainty intervals. They incorporate information about social distancing and other protective measures and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and states can best prepare.

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Global HIV/AIDS Spending 2000-2017 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network estimated HIV/AIDS spending for 134 low- and middle-income countries for 2000-2017. The estimates cover HIV/AIDS spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private) and development assistance for health (DAH). Spending is also disaggregated by function, including care and treatment, prevention, and other spending. Domestic HIV/AIDS spending by source and function was estimated based on data from sources including National AIDS Spending Assessments (NASA), the Global Fund, WHO National Health Accounts and sub-accounts, UNAIDS Global AIDS Response Progress Reports (GARPR), the GARPR database, UNAIDS health financing dashboard, and the AIDS data hub. Development assistance for HIV/AIDS data were drawn from IHME's 2019 Development Assistance for Health Database. Estimates are reported in constant 2019 United States dollars.

Development Assistance for Health Database 1990-2019 File icon

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2019, 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 2019: The current estimates of DAH incorporated improvements in methodology such as leveraging additional project-level descriptions from the Creditor Reporting System for the allocation of disbursements channeled through non-governmental organizations (NGOs) and ongoing refinement of the project’s keyword search list.

To better understand the data and how to use it, please refer to the IHME DAH Database 2019 User Guide.

United States COVID-19 Hospital Needs and Death Projections

IHME has produced forecasts which show hospital bed use, need for intensive care beds, and ventilator use due to COVID-19 based on projected deaths for all 50 U.S. states. These projections are produced by models based on observed death rates from COVID-19, and include uncertainty intervals. They incorporate information about social distancing and other protective measures and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and states can best prepare.

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China HeartRescue Global Evaluation Baseline Health Facility Survey 2015 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline health facility and emergency medical service (EMS) survey conducted in Beijing and Shanghai, China. Data were collected from three secondary hospitals and one tertiary hospital. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. The data were collected through computer-assisted personal interviews (CAPI).

United States Health Care Spending by Payer and Health Condition 1996-2016 File icon

The Disease Expenditure Project (DEX) at IHME produced estimates for US spending on health care according to 3 types of payers (public insurance [including Medicare, Medicaid, and other government programs], private insurance, or out-of-pocket payments) and by health condition, age group, sex, and type of care for 1996 through 2016. Types of care include ambulatory care, inpatient care, nursing care facility stay, emergency department care, dental care, prescribed pharmaceutical care, and government administration and net cost of insurance programs. Government budgets, insurance claims, facility records, household surveys, and official US records from 1996 through 2016 were used to produce the results. Spending estimates were produced for 154 conditons, which were aggregated into 14 health categories. This dataset contains estimates for the aggregate health categories.

China HeartRescue Global Evaluation Baseline Household Survey 2015 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline household survey conducted in Beijing and Shanghai, China. Data were collected from 1,500 individuals ages 18 or older in each city, for a total of 3,000 respondents. Information was collected from respondents through computer-assisted personal interviews (CAPI). Data were collected about demographics, health history and status, health behaviors, health care use, and knowledge, attitudes and practices regarding CVD, risk factors, and CVD care.

India HeartRescue Global Evaluation Baseline Household Survey 2015 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline household survey conducted in Bangalore, India. Data were collected from 2,400 households. One eligible adult per household was randomly selected from the household roster. Information was collected from respondents through computer-assisted personal interviews (CAPI). Data were collected about demographics, health history and status, health behaviors, health care use, and knowledge, attitudes and practices regarding CVD, risk factors, and CVD care.

India HeartRescue Global Evaluation Baseline Emergency Medical Service Survey 2015 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline health facility emergency medical service (EMS) survey conducted in Bangalore, India. Data were collected from 8 EMS units. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. The data were collected through computer-assisted personal interviews (CAPI).

Brazil HealthRise Household Survey 2017 File icon

HealthRise is a collaborative multicountry initiative to implement and evaluate innovative community-based programs intended to improve heart disease and diabetes care in underserved communities. Conducted as part of HealthRise Brazil, this household survey was carried out in approximately 2,000 households in Padre Paraíso in the state of Minas Gerais and Poções in the state of Bahia. Data were collected regarding sociodemographic background, risk factors, medical history, and knowledge, attitudes, and practices related to NCDs. Anthropometric data, including height, weight, and abdominal circumference were also collected, in addition to blood pressure and random blood glucose (RBG) measurements. The data were collected through computer-assisted personal interviews (CAPI) with one adult age 30 years or older in each household.

India HealthRise Baseline Health Facility Survey 2014-2015 File icon

HealthRise is a collaborative multicountry initiative to implement and evaluate innovative community-based programs intended to improve heart disease and diabetes care in underserved communities. Conducted as part of HealthRise India, this health facility survey was carried out in 48 facilities in the Shimla district in the state of Himachal Pradesh and the Udaipur district in the state of Rajasthan. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. The data were collected through computer-assisted personal interviews (CAPI).

Brazil HeartRescue Global Evaluation Baseline Health Facility and EMS Survey 2019 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline health facility and emergency medical services (EMS) survey conducted in Vitória da Conquista, Brazil. Data were collected from three private hospitals, one public hospital, and one EMS unit. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. The data were collected through computer-assisted personal interviews (CAPI).

Brazil HeartRescue Global Evaluation Baseline Household Survey 2019 File icon

The HeartRescue Global Project, a multi-country, multi-year effort aims to improve access and quality for acute cardiovascular disease (CVD), including ST-elevation myocardial infarction (STEMI) and sudden cardiac arrest (SCA) in selected locations in China, India, and Brazil. This dataset is the product of a HeartRescue program impact evaluation. It includes results of a baseline household survey conducted in Vitória da Conquista, Brazil. An adult age 30 years or older was interviewed from each eligible household. Topics covered in the interview included demographic and household characteristics; healthcare use and access; health knowledge, attitudes, and practices related to CVD health; CVD risk factors; and participants' health histories. In total, data were collected from 1,054 households.

Zimbabwe Multiple Indicator Cluster Survey 2019

The Zimbabwe Multiple Cluster Indicator Survey (MICS) 2019 is part of MICS6, an international survey initiative to monitor the situation of children and women. Topics commonly covered in MICS include immunization, education, child and maternal health, family planning, and HIV/AIDS. MICS also provides data for tracking progress toward Millennium Development Goals (MDGs), particularly those related to health, education, and mortality. Interviews were successfully completed for 10,129 women ages 15-49 and 4,178 men ages 15-54 from 11,091 households. Additionally, 6,102 questionnaires were completed for children under 5.

Argentina Vital Statistics 2018

Part of the National Program of Health Statistics' Series 5 on Vital Statistics, issue no. 62 contains tabulated data on registered births, deaths, fetal deaths, and marriages.

Mexico - Yucatán Under 5 Verbal Autopsy and Medical Record Review Survey 2017 File icon

These data are the product of a collaboration between the Institute for Health Metrics and Evaluation (IHME) and the Universidad Autónoma de Yucatán (UADY): a cross-sectional study exploring the delays faced during the search for care by caregivers of children under the age of 5 who died in the State of Yucatán, Mexico, during 2015–2016. Two datasets resulting from the project are available for download. The first contains results of a household census in which interviews were conducted with caregivers of the deceased children. The interview consisted of two parts, a standardized verbal autopsy using neonatal and child modules of the Population Health Metrics Research Consortium (PHMRC) Shortened Questionnaire and a section with questions about health care-seeking behavior during the final illness and household characteristics. The second dataset includes the review of medical records for children who died in medical units of the Secretary of Health of Yucatán.

Argentina Vital Statistics 2017

Part of the National Program of Health Statistics' Series 5 on Vital Statistics, issue no. 61 contains tabulated data on registered births, deaths, fetal deaths, and marriages.

South Africa HealthRise Endline Health Facility Survey 2018 File icon

HealthRise is a collaborative multicountry initiative to implement and evaluate innovative community-based programs intended to improve heart disease and diabetes care in underserved communities. Conducted as part of HealthRise South Africa, this health facility survey was carried out in 38 facilities in the Pixley ka Seme district in the province of Northern Cape and the uMgungundlovu district in the province of KwaZulu-Natal. The survey was adapted from questionnaires created and conducted for the HealthRise projects in South Africa and India in 2015. Data were collected about facility capacity, equipment availability, pharmaceutical and supply stocks, staffing, and services provided. Patient exit interviews were also conducted with eligible patients at health facilities. The data were collected through computer-assisted personal interviews (CAPI).    

Africa Under-5 Lower Respiratory Infection Incidence, Prevalence, and Mortality Geospatial Estimates 2000-2017 File icon

Estimates were produced for lower respiratory infection (LRI) incidence, prevalence, and mortality among children under 5 at the 5x5 km-level in 52 countries in Africa between 2000-2017. These estimates were produced using data extracted from 191 household surveys that had questions about the prevalence of cough with difficulty breathing among children under 5, and allowed for subnational geolocation. The surveys include the Demographic and Health Survey (DHS), Multiple Indicator Cluster Survey (MICS), World Bank, and other country‐specific surveys. Collectively, they provided 56,628 total data points, corresponding to 53,592 survey clusters and 3,036 subnational polygon boundaries.

This dataset includes the following:

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

Low- and Middle-Income Country Neonatal, Infant, and Under-5 Mortality Geospatial Estimates 2000-2017 File icon

Annual estimates were produced for mortality probability and death counts in three age groups – neonates (0-28 days old), infants (under-1 year old), and under-5 (0-5 years old) – at the 5x5 km-level in 99 low- and middle-income countries (LMICs) between 2000-2017. These estimates were produced using data on child mortality and geographical locations from censuses and several household survey series. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys.

This dataset includes the following:

  • GeoTIFF raster files for pixel-level estimates of mortality probability and death counts in 3 age bins
  • CSV files of aggregated mortality probability and death count estimates for each country at the zero, first, and second administrative divisions, by age group
  • Code files used to generate the estimates

Peru Demographic and Family Health Survey 2018

The [Peru Demographic and Family Health Survey] Perú Encuesta Demográfica y de Salud Familiar (ENDES) survey series collects information on child and maternal health, child nutrition, immunization, and health behavior. The 1986-2014 ENDES surveys were conducted as part of the Demographic and Health Survey Series. Beginning with the 2015 ENDES survey, the series has been conducted as a national series by the National Institute of Statistics and Informatics (INEI) (Peru).

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