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United States COVID-19 Resiliency Estimates 2020-2022 File icon

This dataset includes estimates generated by IHME to assess the impact of COVID-19 in the USA and evaluate possible trade-offs between COVID-19 outcomes and the economy, employment, and education. The estimates include standardized cumulative infection and death rates, relative reductions in cumulative GDP and employment, and changes in student test scores. State-level estimates of cumulative death rates due to COVID-19 between January 1, 2020 and July 31, 2022 were extracted from IHME’s COVID-19 database and standardized for age and the prevalence of key comorbidities. Estimates of cumulative SARS-Cov-2 infection rates between January 1, 2020 and December 15, 2021 were adjusted for population density. Monthly data on GDP and employment rates were sector-standardized and estimated relative to the expected non-pandemic value. Student standardized test scores were expressed as the change in mean 4th grade math and reading scores between 2019 and 2022.

Past SARS-CoV-2 Infection Protection Against Reinfection Systematic Review and Meta-Analysis Estimates File icon

Researchers at IHME systematically reviewed, identified, and extracted data from scientific literature studies that estimated the reduction in risk of COVID-19 among individuals with a past SARS-CoV-2 infection in comparison to those without a previous infection. The outcomes assessed were reinfection, symptomatic reinfection, and severe reinfection (hospitalization or death). Extracted SARS-CoV-2 lineages were ancestral, mixed (two different specified variants – e.g., ancestral and Alpha), Alpha (B.1.1.7), Beta (B.1.351), Delta (B.1.617.2), and Omicron (BA.1) and its sub-lineages (BA.2, BA.4/BA.5). A total of 65 studies from 19 different countries were identified. The researchers also produced a meta-analysis of the effectiveness of past infection by outcome (infection, symptomatic disease, and severe disease), variant, and time since infection.

Gross Domestic Product Per Capita 1960-2050 - FGH 2021 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced estimates for Gross Domestic Product (GDP) from 1960-2050. Estimates are reported as GDP per person in constant 2021 purchasing-power parity-adjusted (PPP) dollars. 

Global Expected Health Spending 2020-2050 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2020-2050 for 204 countries and territories. The estimates cover total health spending, 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 1995-2019 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 2021 US dollars, constant 20201purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

Global Health Spending 1995-2019 File icon

Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective health spending estimates for 1995-2019 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private), and development assistance for health (DAH). Domestic health spending source data came primarily from the WHO’s Global Health Expenditure Database (GHED). DAH data came from a diverse set of sources, including program reports, budget data, national estimates, and National Health Accounts (NHAs). The resulting estimates were used to forecast GDP and prospective health spending estimates for 2020-2050. Estimates are reported in constant 2021 United States Dollars, constant 2021 purchasing power parity adjusted (PPP) dollars, and as a percent of gross domestic product.

Development Assistance for Health Database 1990-2021 File icon

This version of the Development Assistance for Health (DAH) Database includes estimates for 1990-2021, 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.
To better understand the data and how to use it, please refer to the IHME DAH Database 2021 User Guide.

Development Assistance for COVID-19 Vaccine Delivery 2020-2021 File icon

This dataset includes estimates for COVID-19 spending on vaccine delivery for seven regions in 2020-2021. These estimates are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The estimates are disaggregated by source of funds, channels or disbursing entities, focus or program area for the spending, and spending type. Estimates are reported in 2021 US dollars.

Development Assistance for Health on COVID-19 2020-2021 File icon

Development Assistance for Health (DAH) on COVID-19 produced estimates for 2020-2021, 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 COVID-19-related 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, and program areas.

Global Mortality from 33 Bacterial Pathogens Estimates 2019 File icon

Researchers at IHME and the University of Oxford produced estimates of deaths and years of life lost (YLLs) associated with bacterial infections caused by 33 pathogens across 204 locations in 2019. This study extends the results of the 2019 Global Burden of AMR study and uses its overall methodological approach to provide more granular estimates. A variety of data were gathered to inform these estimates, including multiple cause of death data, hospital discharges, minimally invasive tissue sampling, systematic literature reviews, and microbiology lab results from hospitals and national and multi-national surveillance systems, with a total of 343 million individual records or isolates and 11,361 study-location-years collected. These data informed 6 modelling components which were then combined with results from GBD 2019 to estimate the burden of AMR.

Sub-Saharan Africa MenAfriVac Coverage Estimates 2010-2021 File icon

This dataset provides estimates of vaccination coverage for meningococcal serogroup A conjugate vaccine (MenAfriVac®) for 24 countries in the meningitis belt of sub-Saharan Africa between 2010 and 2021. Indicators include mean and 95% uncertainty intervals for the estimated coverage for children aged 1 to 5 and children and young adults aged 1 to 29. These estimates include coverage from both mass vaccination campaigns and routine immunization delivery. The estimation process primarily utilized survey report data and country-reported administrative vaccine coverage data.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2021

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2021 presents figures on population, live births, stillbirths, registered deaths, underlying cause of death, marriages, and divorces.

Data presented have been collected by the country's Registry Department and have been calculated by its Statistical Office. Figures on population totals come from the decennial Population and Housing Census.

Global Burden of Disease (GBD) Cardiovascular Burden Estimates 1990 and 2021 File icon

This dataset includes total cardiovascular disease burden estimates globally for multiple cardiovascular diseases for 7 Global Burden of Disease Study (GBD) super regions, 21 GBD regions, 204 countries and territories, and select subnational locations. The following are reported: mortality by age and sex for the years 1990 and 2021; age-standardized mortality in 2021 by Socio-Demographic Index (SDI), a composite indicator of fertility, income, and education; all ages and age-standardized prevalence for 2021; and age-standardized disability-adjusted life years (DALYs) for 2021. The dataset also includes burden attributable to selected risk factors for each GBD region in 2021, as measured by DALYs. These data are custom calculated for publication in the Journal of the American College of Cardiology and will not be available in the GBD 2021 Results Tool.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2020

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2020 presents figures on population, live births, stillbirths, registered deaths, underlying cause of death, marriages, and divorces.

Data presented have been collected by the country's Registry Department and have been calculated by its Statistical Office. Figures on population totals come from the decennial Population and Housing Census.

Saint Vincent and the Grenadines Population and Vital Statistics Report 2019

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2019 presents figures on population, live births, stillbirths, registered deaths, underlying cause of death, marriages, and divorces.

Data presented have been collected by the country's Registry Department and have been calculated by its Statistical Office. Figures on population totals come from the decennial Population and Housing Census.

Global Burden of Disease Study 2019 (GBD 2019) Contraceptive Prevalence Estimates 1970-2019 File icon

Annual estimates of contraceptive use and need for family planning were produced for 204 countries and territories from 1970–2019. Data used came from cross-sectional surveys that sampled women ages 15-49 in which respondents self-reported contraceptive use. This dataset includes annual estimates by location, age group, and marital status for any and modern contraceptive prevalence, unmet need for any contraception, and demand satisfied with modern methods. Additionally, prevalence was estimated for 15 contraceptive methods. If a women reported using more than one method, only the most effective method was counted. Due to small sample sizes of partnered and unpartnered women in some locations, only all age and age-standardized estimates (ages 15-49) are provided with marital breakdowns.

Argentina Vital Statistics 2020

Part of the National Program of Health Statistics' Series 5 on Vital Statistics, issue no. 64 contains tabulated data on registered births, deaths, fetal deaths, and marriages.

United States Health Care Spending Effectiveness 1996-2016 File icon

Health care spending effectiveness is the ratio of an increase in spending per case of illness or injury to an increase in disability-adjusted life-years (DALYs) averted per case. This dataset contains health care spending effectiveness ratios in the United States from 1996 to 2016. The ratios were created using comprehensive estimates of health care spending from the Disease Expenditure Study (DEX) and DALYs from the 2017 Global Burden of Disease study (GBD). Changes were decomposed over time to estimate spending per case and DALYs averted per case, while controlling for changes in population size, age-sex structure, and incidence or prevalence of cases.

United States Mortality Rates and Life Expectancy by State, Race, and Ethnicity 1990-2019 File icon

Estimates were produced for mortality rates, life expectancy, and population at the state level in the United States, and by racial/ethnic group, for each year between 1990-2019. These estimates were produced using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

  • CSV files of state-, and national-level estimates of mortality rates and life expectancy for each age group, sex, year, and racial-ethnic group (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic, Other). Blank cells are for masked estimates
  • Code used to generate the estimates

United States Mortality Rates and Life Expectancy by County, Race, and Ethnicity 2000-2019 File icon

Estimates were produced for mortality rates and life expectancy at the county level in the United States, and by racial/ethnic group, for each year between 2000-2019. These estimates were produced using population and deaths data from the National Center for Health Statistics.

This dataset includes the following:

  • CSV files of county-, state-, and national-level estimates of mortality rates and life expectancy for each age group, sex, year, and racial-ethnic group (all of which are non-Latino, except for the Latino group): White, Black, American Indian and Alaska Native (AIAN), Asian and Pacific Islander (API), and Latino. Blank cells are for masked estimates
  • Code used to generate the estimates

Development Assistance for Human Resources for Health 1990-2020 File icon

These development assistance for human resources for health (DAHRH) estimates are generated using data from IHME’s Development Assistance for health Database DAH, COVID development assistance database and the Organization for Economic Cooperation and Development’s Creditor Reporting System (CRS) online database. The IHME databases enables comprehensive analysis of donor funding aimed towards activities that support the health workforce in low- and middle-income countries from key agencies. The DAHRH estimates are disaggregated by source of funds, channel (disbursing agency) of funding, geographic region (Global Burden of Disease Study (GBD) super region), and the type of human resources for health activities supported (program areas).

COVID-19 Excess Mortality Estimates 2020-2021 File icon

This dataset contains estimates of excess mortality from the COVID-19 pandemic for global populations during the period of January 1, 2020 – December 31, 2021. Excess mortality is defined as the net difference between the number of deaths during the pandemic (measured by observed or estimated all-cause mortality) and the number of deaths that would be expected based on past trends in all-cause mortality. The dataset also includes reported COVID-19 deaths (or deaths attributable to the virus), the reported COVID-19 mortality rate and the ratio between excess mortality rate and reported COVID-19 mortality rate for the same time period. The ratio of excess mortality rate to reported COVID-19 mortality is a measurement of undercounting of the true mortality impact of the pandemic. Methods and limitations for the model for estimating excess mortality can be found in detail in the publication.

Healthcare Access and Quality Index by Age 1990-2016 File icon

Researchers at IHME produced estimates for age-specific Healthcare Access and Quality (HAQ) indices for ten year intervals from 1990-2016. The US national age-specific HAQ scores were compared with high-income peers (Canada, Western Europe, High-Income Asia Pacific countries, and Australasia) in 1990, 2000, 2010, and 2016. Scores among US states were also analyzed for 2010 and 2016. The public use microdata sample of the American Community Survey was used to estimate insurance coverage and the median income per person by age and state.

Pakistan - Khyber Pakhtunkhwa Multiple Indicator Cluster Survey 2019

The Bureau of Statistics (BoS) conducted this Multiple Indicator Cluster Survey (MICS) with a sample size of 23,740 households in 32 districts of KP (including seven newly merged districts) from 1,187 sampled clusters. This MICS collected data on more than 170 indicators (including 33 SDG indicators), covered in 51 modules. Data was collected on six questionnaires including, Household, Women, Men, Children under-five, Children 5-17 and water quality testing.

HPV Vaccination Cost Effectiveness Estimates File icon

This dataset contains estimates on the cost-effectiveness of HPV vaccination in 195 countries. The probability that HPV vaccination was cost-saving in each country was predicted using a logistic regression model, and is reported by incremental cost-effectiveness ratio (ICER). Data used to produce the estimates came from 638 ICERs reported in 76 studies from the Tufts University’s Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry.

Tuberculosis Household Risk Exposure Estimates 2019 File icon

This dataset contains estimates for the number of persons with exposure to household incident pulmonary tuberculosis (TB) for 20 high-incidence TB countries in 2019 (as determined by Global Burden of Disease (GBD) Study 2019 estimates). Estimates were produced using pulmonary TB incidence from the GBD 2019 and location-specific household structure data from Demographic Health Surveys (DHS) and Integrated Public Use Microdata Series (IPUMs). Estimates include mean and 95% uncertainty intervals for both sexes disaggregated by age groups.

These estimates inform a paper published in EclinicalMedicine in November 2021 titled “Estimating the population at high risk for tuberculosis through household exposure in high-incidence countries: a model-based analysis.”

Ipsos General Population COVID-19 Health Services Disruption Survey 2020 File icon

The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

The IPSOS General Population COVID-19 Health Services Disruption Survey 2020 was conducted by IPSOS via telephone and online surveys in 14 countries. Respondents were individual members of the general population. Data were collected from 15,258 respondents. The survey focused on the level of disruption to the provision of general health services, including visits to medical providers and access to medication.

This survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey are not intended to be used as an overall estimate of the level of health service delivery.

Mortality Burden Attributable to Non-Optimal Temperature 1990-2019 File icon

This dataset contains estimates for deaths and years of life lost (YLLs) attributable to non-optimal temperature exposure (including high temperature, low temperature, and the aggregate non-optimal temperature risk) for 204 countries, Global Burden of Disease Study (GBD) regions and super regions, and globally for the years 1990, 2010, and 2010. These estimates inform a paper published in The Lancet in August 2021 titled “Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study.”

Global Burden of Disease Study 2019 (GBD 2019) Dietary Risk Exposure Estimates 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.

Estimates of 15 dietary risks and the burden attributable to these were produced for 1990-2019. Files available in this record include estimates of the daily intake of the 15 GBD food groups (either in grams or percent energy) by year, sex, and 5-year age groups for age 25 and up, with an aggregated 25+ age group. Estimates of disease burden attributable to dietary risks are available through the GBD Results Tool.

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

Estonia Health Behavior Among the Adult Population Survey 2020

The study Health Behavior among Estonian Adult Population has been conducted every two years since 1990. A sample of 5,000 Estonian residents ages 16-64 years were selected from the Population Register and were sent a survey questionnaire through the mail. Additionally, county samples were included (n=7400) to analyze health indicators for the 15 counties and two largest city divisions in Estonia.

The questionnaire collected information on the participants' health status, use of health services and medications, physical activity, smoking and alcohol use, dietary habits, and demographic information. 

Global Dementia Care Spending and Future Spending Scenarios 2000-2050 File icon

This dataset contains retrospective estimates for healthcare spending attributable to dementia for 195 countries from 2000 to 2019 and prospective spending estimates from 2020 to 2050 under multiple scenarios. Intermediate and final estimates are provided. Intermediate estimates include community based care rate (CBC), nursing home based care rate (NHBC), community based care unit cost, and nursing home based care unit cost. Final estimates are attributable dementia spending. All spending is reported in 2019 United States dollars. Future estimates report the same model outputs as those reported in the retrospective model but include both reference and alternative scenarios based on accelerated care setting rates and units costs.

Pakistan - Sindh Multiple Indicator Cluster Survey 2018-2019

The sample for the Sindh MICS 2018-19 was designed to provide estimates for a large number of indicators on the situation of children and women at the Sindh level, for urban and rural areas, and for all 29 districts of Sindh. In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for handwashing, measured the weights and heights of children age under 5 years, and tested household and source water for E. coli levels. Sindh MICS 2018-19 had a sample size of 20,540 households with a 99% response rate.

Japan National Health and Nutrition Survey 2019

The 2019 survey was conducted in November, and collected data on health status, physical activity, nutrition, and food intake of the Japanese population. For this year, data on health disparities was a focus of the survey.

Before 2003, the National Health and Nutrition Survey was known as the National Nutrition Survey.

Global Burden of Disease Study 2020, Release 1 (GBD 2020 R1) Routine Childhood Vaccination Coverage 1980-2019 File icon

Estimates of vaccination coverage for 11 childhood vaccines (first-dose bacillus Calmette-Guérin [BCG], first- and third-dose diphtheria-tetanus-pertussis [DTP1, DTP3], third-dose hepatitis B [HepB3], third-dose Haemophilus influenzae type b [Hib3], first- and second-dose measles [MCV1, MCV2], third-dose pneumococcal conjugate vaccine [PCV3], third-dose polio [Pol3], first-dose rubella-containing vaccine [RCV1], and complete rotavirus [RotaC, two or three doses]) were produced for 204 countries and territories between 1980 and 2019 as part of the Global Burden of Disease Study 2020, Release 1 (GBD 2020 R1). The estimation process primarily utilized household survey microdata, household survey report data in the absence of microdata, and estimates of country-reported coverage data.

This dataset includes the following:

  • CSV files for national-level estimates of vaccine coverage, by vaccine
  • Code files used to generate the estimates

Global Young People Smoking Prevalence and Initiation Age 1990-2019 File icon

Estimates of smoking prevalence among young people ages 15 to 24 and age of smoking initiation were produced by sex and year for 204 countries and territories for 1990-2019. Files available in this record include estimates of the prevalence of smoking among young people, mean age of initiation, and quantiles from the distribution of initiation age. Study results were published in The Lancet Public Health in May 2021 in "Spatial, temporal, and demographic patterns in smoking prevalence and initiation among young people in 204 countries and territories, 1990-2019."

Global Burden of Disease Study 2019 (GBD 2019) Smoking Tobacco Use Prevalence 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.

Estimates of smoking tobacco use and the burden attributable to this risk factor were produced by sex, age group, and year for 204 countries and territories for 1990-2019. Files available in this record include estimates of the prevalence of smoking tobacco use, number of people that currently use smoked tobacco products, and supply-side tobacco availability and consumption. Estimates of disease burden attributable to smoking tobacco use are available through the GBD Results Tool.

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

Argentina Vital Statistics 2019

Part of the National Program of Health Statistics' Series 5 on Vital Statistics, issue no. 63 contains tabulated data on registered births, deaths, fetal deaths, and marriages.

Guyana Multiple Indicator Cluster Survey 2019-2020

Six questionnaires were used in the survey: 1) a household questionnaire; 2) a water quality testing questionnaire administered in five households in each cluster of the sample; 3) women age 15-49 years; 4) men administered in every second--i.e. every other--household to all men age 15-49 years; 5) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and 6) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household. 7,072 households were successfully interviewed for a household response rate of 94 percent. In the interviewed households, 5,887 women (age 15-49 years) were interviewed along with 2,214 eligible men and questionnaires completed for 2,801 children under age five. Questionnaires were also completed for 3,248 children ages 5-17.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2017

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2017. Case totals are provided for the country and by prefecture for 2017. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2018

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2018. Case totals are provided for the country and by prefecture for 2018. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

Japan Provisional Cumulative Cases of Diseases per Sentinel Reporting by Prefecture 2019

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2019. Case totals are provided for the country and by prefecture for 2019. Infectious disease case notification data for Japan, provided in the Infectious Disease Weekly Report (IDWR), are collected by the Infectious Disease Surveillance Center for the National Epidemiological Surveillance of Infectious Diseases (NESID) program. NESID data is collected from prefectural and municipal public health centers, and quarantine stations through an on-line reporting system.

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