Recently Added Records

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.

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

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.

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.”

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.

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.

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

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.

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.

The Infectious Disease Weekly Report (IDWR) tabulations Sentinel-Reporting Diseases provides cumulative cases of sentinel reporting diseases by prefecture reported in Japan during 2020. Case totals are provided for the country and by prefecture for 2020. 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.

The Infectious Disease Weekly Report (IDWR) tabulations Notifiable Diseases provides the number of cases of notifiable diseases reported in Japan during 2021. Case totals are provided for the country by prefecture for 2021. 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.

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2018 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.

These data are the product of a collaboration between the Institute for Health Metrics and Evaluation (IHME) and the Universidad Autónoma de Yucatán (UADY). The objective of the project was to improve maternal and child health and the quality of health information in the state of Yucatán, Mexico through assessing the knowledge of alarm signs, and access and utilization of health services, among caregivers of children under 5 years of age. This dataset includes the results of a household census and caregiver interviewer. The population under study includes caregivers of children under 5 in 8 municipalities in Yucatán. In total, data were collected from 2,996 households.

Annual estimates were produced for oral rehydration therapy coverage for children under 5 years of age who had diarrhea at the second administrative-level unit in Senegal, Mali, and Sierra Leone between 2000–2018. These estimates were produced using a geo-positioned dataset created from 23 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:

• CSV files of aggregated oral rehydration therapy coverage estimates at the second administrative level. Estimates are provided for three measures: Any oral rehydration solutions, Recommended home fluids only, and No oral rehydration therapy
• Code files used to generate the estimates

The sample for the Nepal MICS 2019 samples were collected at urban and rural areas of seven provinces: Province 1, Province 2, Bagmati province, Gandaki province, Lumbini province, Karnali province, and Sudoorpashchim province. Kathmandu valley urban is included as a separate stratum. The survey includes 6 questionnaires: 1) a household questionnaire; 2) water quality testing questionnaire 3) individual women, aged 15-49 years; 4) individual men (ages 15-49) administered in every second household; 5) a questionnaire for children under 5; and 6) a questionnaire for children age 5-17 years, administered to mothers (or caretakers). Fieldwork teams observed handwashing stations in households, measured the weights and heights of children age under 5 years, and tested household water for E. coli and source water for both E. coli levels and arsenic. The questionnaires were customized and translated into Nepali, Bhojpuri and Maithili. 

The Guinea-Bissau Multiple Cluster Indicator Survey 2018-2019 is part of MICS6, an international survey initiative to monitor the situation of children and women. Interviews include: 7,379 households; 10,945 women ages 15-49 years; 7,484 mothers/caregivers of children under five; 5,836 mothers/caregivers of children ages 5-17; and 2,805 men. Households were also tested for water quality (1,828).

MICS used a two-stage stratified sampling method. The sampling base was based on the 2009 General Population and Housing Census (RGPH). Primary sampling units selected in the first stage were the enumeration zones (Districts of the Census) of the Census. A list of households has been drawn up in each Primary Unit of the sample and a sample of Households was selected in the second stage (Secondary Units).

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.

The Saint Vincent and the Grenadines Population and Vital Statistics Report 2017 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.

Estimates were produced for onchocerciasis all-age microfiladermia (positive skin snip) prevalence at the 5x5 km-level in 34 endemic countries across Africa, plus Yemen, annually between 2000 and 2018. These estimates were produced using reported data on onchocerciasis prevalence from endemicity mapping surveys, surveillance during elimination programs, and other sources.

This dataset includes the following:

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