85 datasets found
  1. m

    Global Burden of Disease analysis dataset of BMI and CVD outcomes, risk...

    • data.mendeley.com
    Updated Aug 17, 2021
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    David Cundiff (2021). Global Burden of Disease analysis dataset of BMI and CVD outcomes, risk factors, and SAS codes [Dataset]. http://doi.org/10.17632/g6b39zxck4.6
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    Dataset updated
    Aug 17, 2021
    Authors
    David Cundiff
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including body mass index (BMI) and cardiovascular disease (CVD) and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of BMI and CVD and other health outcomes with risk factors. Our research hypothesis is that we can successfully apply artificial intelligence to model BMI and CVD risk factors and health outcomes. We derived a BMI multiple regression risk factor formula that satisfied all nine Bradford Hill causality criteria for epidemiology research. We found that animal products and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths in high quantities. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats.

    For questions, please email davidkcundiff@gmail.com. Thanks.

  2. f

    Table 1_Analysis of the burden of intracerebral hemorrhage in the Asian...

    • frontiersin.figshare.com
    docx
    Updated Feb 14, 2025
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    Minghong Xu; Chao Tang; Yongkai Shen; Yinan Zhang; Long Bao (2025). Table 1_Analysis of the burden of intracerebral hemorrhage in the Asian population aged 45 and older and ARIMA model prediction trends: a systematic study based on the GBD 2021.docx [Dataset]. http://doi.org/10.3389/fneur.2025.1526524.s001
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    docxAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Frontiers
    Authors
    Minghong Xu; Chao Tang; Yongkai Shen; Yinan Zhang; Long Bao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundIntracerebral hemorrhage (ICH), a severe subtype of hemorrhagic stroke, is associated with significant disability and high mortality rates. Due to population aging and the prevalence of hypertension in the Asian region, intracerebral hemorrhage has become one of the major causes of high disability and mortality. This study analyzes the epidemiological patterns of ICH across Asia from 1990 to 2021 and projects potential trends for the period 2022 to 2041.MethodsThis study extracted four key indicators related to intracerebral hemorrhage (ICH) from The Global Burden of Disease (GBD) 2021 database for the years 1990 to 2021: prevalence, incidence, mortality, and disability-adjusted life years (DALYs). The age-period-cohort model was employed to assess the impact of age, time periods, and birth cohorts on ICH trends. Additionally, the autoregressive integrated moving average (ARIMA) model was utilized to conduct long-term trend analysis and forecast the changing trends of various indicators from 2022 to 2041.ResultsFrom 1990 to 2021, age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life-year rate (ASDR) of ICH in Asia exhibited an overall declining trend, the ASIR declined from 82.35 per 100,000 (95% UI: 70.73–93.35) to 52.35 per 100,000 (95% UI: 45.98–58.46). Similarly, the ASMR dropped from 92.02 per 100,000 (95% UI: 83.06–101.24) to 53.26 per 100,000 (95% UI: 47.61–58.96), while the ASDR fell from 2,094.51 per 100,000 (95% UI: 1,916.68–2,293.61) to 1,194.11 per 100,000 (95% UI: 1,072.05–1,306.04). The age effect demonstrated that the relative risk (RR) of ICH increases with age, peaking in the 90–94 age group. The period effect indicated that the risk did not increase over time, while the cohort effect suggested a declining trend in later-born cohorts. The ARIMA model’s predictions indicate that over the next 20 years, the age-standardized rates in Asia, except for prevalence, will generally show a declining trend.ConclusionThe disease burden of ICH in Asia varies by gender and age group. According to ARIMA model predictions, while the overall burden of ICH is expected to decline over the next 20 years, the age-standardized prevalence rate is projected to increase due to population aging. Given the high mortality and disability rates associated with ICH, its disease burden remains significant and requires focused attention. Strengthening screening and hypertension management in high-risk elderly populations, along with community health education and early intervention, is recommended to reduce the risk of ICH.

  3. Population Estimates 1970-2017

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Population Estimates 1970-2017 [Dataset]. https://www.johnsnowlabs.com/marketplace/population-estimates-1970-2017/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    World
    Description

    This dataset contains information of GBD (Global Burden of Disease) 2017 population estimates from 1970 to 2017.

  4. f

    Data from: Burden of syphilis in Brazil and federated units, 1990-2016:...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Juliana Maria Trindade Bezerra; Pedro Alves Soares Vaz de Castro; Carla Jorge Machado; Mariângela Carneiro (2023). Burden of syphilis in Brazil and federated units, 1990-2016: estimates from the Global Burden of Disease Study 2019 [Dataset]. http://doi.org/10.6084/m9.figshare.20382373.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Juliana Maria Trindade Bezerra; Pedro Alves Soares Vaz de Castro; Carla Jorge Machado; Mariângela Carneiro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    ABSTRACT Background: Syphilis is a chronic infectious disease that has created challenging situations for humanity for centuries. Transmission can occur sexually or vertically, with great repercussions on populations, particularly among women and children. The present study presents information on the main burden imposed by syphilis generated by the Global Burden of Disease (GBD) Study 2019 for Brazil and its 27 federated units. Methods: We described the metrics of incidence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs), standardized by age and per 100,000 inhabitants, from 1990 to 2019, and we compared the disease burden between the years 1990 and 2019. Results: In Brazil, the disease burden increased between 2005 and 2019 for all metrics. Although a higher incidence of syphilis was found among women in 2019, DALYs [YLLs (males: 15.9%; females: 21.8%), YLDs (males: 25.0%; females: 50.0%), and DALYs (males: 16.2%; females: 22.4%)] were higher among men. In 2019, the highest DALY rate per 100,000 inhabitants was observed in individuals aged above 50 years. The State of Maranhão presented the highest values of DALYs {1990: 165.2 [95% uncertainty interval (UI) 96.2-264.4]; 2005: 43.8 [95% UI 30.3-62.4]; 2019: 29.1 [95% UI 19.8-41.1]} per 100,000 inhabitants in the three years analyzed. Conclusions: The burden of syphilis has increased in recent years. Men presented higher DALYs, although the incidence of the disease was higher in women. Syphilis affects a large number of people across all age groups, causing different degrees of disability and premature death (DALYs).

  5. w

    Burden of Disease (BoD) - LGAs and regions 2001 - Ranking of DALY & top 50...

    • data.wu.ac.at
    api/tool
    Updated Mar 7, 2016
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    Department of Health and Human Services (2016). Burden of Disease (BoD) - LGAs and regions 2001 - Ranking of DALY & top 50 causes [Dataset]. https://data.wu.ac.at/schema/www_data_vic_gov_au/MGNkYjViZDQtMTVhMS00OWM1LThiYTUtZDAzYmUyNjZjZmQw
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    api/toolAvailable download formats
    Dataset updated
    Mar 7, 2016
    Dataset provided by
    Department of Health and Human Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. It provides a comprehensive assessment of the amount of ill health in Victoria, Australia, measured in Ranking of Disability Adjusted Life Years and top 50 causes arising from most diseases and injuries.

    The DALY is a measure of the disease burden in a population combining the loss of years of life due to premature mortality and the loss of healthy years of life due to disease or injury. One DALY can be thought of as one lost year of healthy life. The DALY is a so-called health gap measure. This means that the burden of disease is measured as the gap between the current health status of the population and an ideal where everyone lives into old age; free of disease or injury. The term disability is used quite broadly; in this sense; to include all departures from complete health due to disease or injury. The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context.

  6. d

    Life Expectancy at Birth

    • data.gov.sg
    Updated Feb 4, 2025
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    Ministry of Health (2025). Life Expectancy at Birth [Dataset]. https://data.gov.sg/datasets/d_e8e0db9cbd76e12eaa2bf071cc9ce964/view
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    Dataset updated
    Feb 4, 2025
    Dataset authored and provided by
    Ministry of Health
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Life expectancy at birth

    Data refers to Total population (Singapore)

    Source: Global Burden of Disease (GBD) 2021 Study

  7. f

    Table5_Global, Regional, and National Burden and Trends of Down Syndrome...

    • figshare.com
    • frontiersin.figshare.com
    xlsx
    Updated Jun 16, 2023
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    Liyuan Chen; Lifei Wang; Yi Wang; Haishan Hu; Yuan Zhan; Zhilin Zeng; Lidan Liu (2023). Table5_Global, Regional, and National Burden and Trends of Down Syndrome From 1990 to 2019.XLSX [Dataset]. http://doi.org/10.3389/fgene.2022.908482.s006
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    xlsxAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Liyuan Chen; Lifei Wang; Yi Wang; Haishan Hu; Yuan Zhan; Zhilin Zeng; Lidan Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Introduction: Down syndrome (DS) is the leading cause of genetically defined intellectual disability and congenital birth defects worldwide. A large population of people diagnosed with DS globally is posing an enormous socioeconomic burden. However, the global burden and trends of DS have not been reported.Methods: Based on the data from the Global Burden of Disease database in 2019, we analyzed the incidence, prevalence, disability-adjusted life years (DALYs), and death of DS from 1990 to 2019 according to sex, age, regions, and social-demographic index (SDI). Then, age-standardized rates (ASRs) and estimated annual percentage change (EAPC) of these aforementioned indexes were calculated to evaluate the temporal trend of DS. Finally, the association of SDI with DS epidemiological parameters was assessed.Results: In the past 30 years, the incident cases, age-standardized incident rate (ASIR), and age-standardized prevalent rate (ASPR) of DS first decreased slightly and subsequently increased globally. The number of prevalent cases increased steadily, while the number and age-standardized rate (ASRs) of DALYs and deaths decreased gradually from 1990 to 2019. In the meantime, disease burdens were different across various SDI regions. The prevalent cases and ASPR for both sexes were increasing in all SDI regions except for the high-middle SDI region. At the national level, Brunei Darussalam, Ireland, and Haiti were the top three countries with the highest ASIR in 2019. Georgia was in the top three with the highest increase in ASRs of four parameters, while Serbia was consistently ranked in the top three with fastest declining. Furthermore, we found that ASIR and ASPR were positively correlated with SDI, yet the age-standardized DALYs and age-standardized death rate (ASDR) were negatively correlated with SDI.Conclusion: In the past 30 years, the burden and trends of DS were heterogeneous across different regions and countries with different sociodemographic characteristics. Great improvements had been achieved in reducing DALYs and deaths globally. However, the increased number and ASRs of incident and prevalent cases in some regions, especially in low SDI regions, were contributing to numerous challenges to public health. The findings may provide valuable information to the development or implementation of more effective measures.

  8. d

    Burden of Disease (BoD) - LGAs and regions 2001 - Years Lived with...

    • data.gov.au
    html
    Updated Dec 11, 2019
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    Department of Health and Human Services (2019). Burden of Disease (BoD) - LGAs and regions 2001 - Years Lived with Disability (YLD) Rates [Dataset]. https://data.gov.au/dataset/ds-vic-e5e608c6-5ba8-4199-8eae-d22ce46ec42b
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    htmlAvailable download formats
    Dataset updated
    Dec 11, 2019
    Dataset provided by
    Department of Health and Human Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. The Years Lived with Disability per 1;000 …Show full descriptionThe Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. The Years Lived with Disability per 1;000 population by gender in 2001. The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context.

  9. w

    Burden of Disease (BoD) - LGAs and regions 2001 - Years of Life Lost (YLL)...

    • data.wu.ac.at
    api/tool
    Updated Mar 8, 2016
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    Department of Health and Human Services (2016). Burden of Disease (BoD) - LGAs and regions 2001 - Years of Life Lost (YLL) Rates [Dataset]. https://data.wu.ac.at/odso/www_data_vic_gov_au/OTU2NGJjNmYtNThkMC00N2M3LTk4ZjctYTJlZGU5OGVjNWJi
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    api/toolAvailable download formats
    Dataset updated
    Mar 8, 2016
    Dataset provided by
    Department of Health and Human Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context.

    The Years of Life lost prematurely per 1;000 population by gender in 2001. The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context.

  10. a

    Disease Burden, Disability-Adjusted Life Year (DALYs) Attributable to...

    • hub.arcgis.com
    • sdgs-uneplive.opendata.arcgis.com
    Updated Apr 12, 2016
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    UN Environment, Early Warning &Data Analytics (2016). Disease Burden, Disability-Adjusted Life Year (DALYs) Attributable to Environment [Dataset]. https://hub.arcgis.com/maps/c15a07cfb9de4b3b9731da6cc9c3e9b7
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    Dataset updated
    Apr 12, 2016
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The map shows burden of disease attributable to the environment which can be expressed as disability-adjusted life years (DALYs).Disability -Adusted Life Years (or DALYs) are a summary measure of population health that combine (i) the years of life lost as a result of premature death and (ii) the years lived with a disease. Death and DALY rates are calculated by dividing the number of deaths, resp. DALYs, by the total population (or indicated if not, e.g. if a specific population group such as children under 5 years, is used). The percentages of deaths, resp. DALYs, attributable to the environment are obtained by dividing the number of attributable deaths, resp. DALYs, by the total number of deaths, resp. DALYs-The percentage of total DALYs that are attributable to the environment represents burden of disease that could be avoided by modifying the environment. Modifiable environment includes: - Air, soil and water pollution with chemicals or biological agents - Ultraviolet and ionizing radiation - Built environment - Noise, electromagnetic fields - Occupational risks - Agricultural methods, irrigation schemes - Anthropogenic climate changes, ecosystem degradation - Individual behaviors related to the environment; such as hand-washing, food contamination with unsafe water or dirty handsThe source of the data is World Health Organization (WHO)

  11. w

    Burden of Disease (BoD) - LGAs and regions 2001 - Disability Adjusted Life...

    • data.wu.ac.at
    api/tool
    Updated Mar 8, 2016
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    Department of Health and Human Services (2016). Burden of Disease (BoD) - LGAs and regions 2001 - Disability Adjusted Life Years (DALY) rates [Dataset]. https://data.wu.ac.at/schema/www_data_vic_gov_au/ZjcwOTU1ODUtYTNkMS00NTRjLTlhNDktNWE3OWM0OWU4YTk3
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    api/toolAvailable download formats
    Dataset updated
    Mar 8, 2016
    Dataset provided by
    Department of Health and Human Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. It provides a comprehensive assessment of the amount of ill health in Victoria, Australia, measured by Disability Adjusted Life Years (DALY) rates

    The Disability Adjusted Life Years per 1;000 population by gender in 2001. The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context

  12. I

    Disability-Adjusted Life Year attributable to hepatitis A in 2015 for 15-49...

    • ihp-wins.unesco.org
    • data.amerigeoss.org
    shp
    Updated Feb 5, 2024
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    Intergovernmental Hydrological Programme (2024). Disability-Adjusted Life Year attributable to hepatitis A in 2015 for 15-49 year-old females [Dataset]. https://ihp-wins.unesco.org/dataset/disability-adjusted-life-year-attributable-to-hepatitis-a-in-2015-for-15-49-year-old-females
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    shpAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis A for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

  13. A

    Disability-Adjusted Life Year attributable to typhoid fever in 2015 for...

    • data.amerigeoss.org
    • ihp-wins.unesco.org
    png, wfs, wms
    Updated Jul 26, 2021
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    UNESCO-Water Information Network System by the International Hydrological Programme (2021). Disability-Adjusted Life Year attributable to typhoid fever in 2015 for 15-49 year-old males [Dataset]. https://data.amerigeoss.org/dataset/b64e3f4d-c14a-4e76-8a0b-3d51f9520872
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    wms, wfs, pngAvailable download formats
    Dataset updated
    Jul 26, 2021
    Dataset provided by
    UNESCO-Water Information Network System by the International Hydrological Programme
    Description

    This layer represents the percentage of total Disability-Adjusted Life Year attributable to typhoid fever for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

  14. I

    Disability-Adjusted Life Year attributable to paratyphoid fever in 2015 for...

    • ihp-wins.unesco.org
    • data.amerigeoss.org
    shp
    Updated Feb 5, 2024
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    Intergovernmental Hydrological Programme (2024). Disability-Adjusted Life Year attributable to paratyphoid fever in 2015 for 5-14 year-old males [Dataset]. https://ihp-wins.unesco.org/dataset/disability-adjusted-life-year-attributable-to-paratyphoid-fever-in-2015-for-5-14-year-old-males
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    shpAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

  15. I

    Disability-Adjusted Life Year attributable to unsafe sanitation in 2015 for...

    • ihp-wins.unesco.org
    • data.dev-wins.com
    shp
    Updated Feb 5, 2024
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    Intergovernmental Hydrological Programme (2024). Disability-Adjusted Life Year attributable to unsafe sanitation in 2015 for 5 to 14 year-old males [Dataset]. https://ihp-wins.unesco.org/dataset/disability-adjusted-life-year-attributable-to-unsafe-sanitation-in-2015-for-5-to-14-year-old-males
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    shpAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    This layer represents the percentage of Disability-Adjusted Life Year attributable to unsafe sanitation in 2015, for 5 to 14 year-old males. Data for other age ranges are also available in the table.One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

  16. I

    Disability-Adjusted Life Year attributable to unsafe water, sanitation and...

    • ihp-wins.unesco.org
    • data.amerigeoss.org
    shp
    Updated Feb 5, 2024
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    Intergovernmental Hydrological Programme (2024). Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing in 2015 for 15-49 year-old males [Dataset]. https://ihp-wins.unesco.org/dataset/disability-adjusted-life-year-attributable-to-unsafe-water-sanitation-and-handwashing-in-2015-for-
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    shpAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

  17. f

    Data Sheet 2_Global, regional, and national trends in gastric cancer burden:...

    • figshare.com
    docx
    Updated Dec 12, 2024
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    Tao Zhang; Yiqun Zhang; Xiaofei Leng (2024). Data Sheet 2_Global, regional, and national trends in gastric cancer burden: 1990-2021 and projections to 2040.docx [Dataset]. http://doi.org/10.3389/fonc.2024.1468488.s003
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    docxAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Frontiers
    Authors
    Tao Zhang; Yiqun Zhang; Xiaofei Leng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundGastric cancer (GC) is a common malignancy of the digestive system, with significant geographical variation in its disease burden.MethodsThis study used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to analyze three key indicators: incidence, mortality, and disability-adjusted life years (DALYs). Initially, a detailed analysis of the GC burden was conducted from global, regional, national, gender, and age perspectives. Subsequently, the percentage change and average annual percent change (AAPC) of GC were calculated to understand the trends in disease burden. Decomposition analysis and frontier analysis were then performed. Finally, the Bayesian age-period-cohort model was used to predict the trends in age-standardized rates (ASRs) of GC up to 2040.ResultsIn 2021, there were 1.23 million (95% UI: 1.05-1.41 million) new cases of GC globally, with 0.95 million (95% UI: 0.82-1.10million) deaths and 22.79 million (95% UI: 19.58-26.12 million) DALYs. Compared to 1990, the global ASRs of GC has declined, but new cases and deaths have increased. For females, age-standardized incidence rate, age-standardized mortality rate, and age-standardized DALYs rate were 8.6, 7.1, and 165.6 per 100,000, with AAPCs of -2.1, -2.4, and -2.6. For males, they were 20.9, 16.0, and 371.2 per 100,000, with AAPCs of -1.6, -2.1, and -2.3. ASRs fluctuated with increasing Socio-demographic Index (SDI), being higher in middle and high-middle SDI regions. Decomposition analysis indicated negative effects from epidemiological trends on GC burden, while population growth and aging had positive effects. Frontier analysis showed that middle and high-middle SDI regions had more potential for reducing ASRs. Predictions indicate a continued decline in ASRs for both genders by 2040.ConclusionDespite progress in controlling GC, the number of new cases and deaths globally is rising due to population growth and aging. This highlights the need for effective prevention and control strategies.

  18. E

    Global, regional and national disease burden estimates of acute lower...

    • dtechtive.com
    • find.data.gov.scot
    pdf, txt, xlsx
    Updated Oct 4, 2016
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    University of Edinburgh. Usher Institute of Population Health Sciences and Informatics (2016). Global, regional and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015 [Dataset]. http://doi.org/10.7488/ds/1491
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    xlsx(0.0689 MB), xlsx(0.0392 MB), pdf(1.807 MB), xlsx(0.0965 MB), txt(0.0166 MB), xlsx(0.0523 MB)Available download formats
    Dataset updated
    Oct 4, 2016
    Dataset provided by
    University of Edinburgh. Usher Institute of Population Health Sciences and Informatics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background - We have previously estimated that respiratory syncytial virus (RSV) was associated with 22% of all episodes of (severe) acute lower respiratory infection (ALRI) resulting in 55000 to 199000 deaths in children younger than 5 years in 2005. In the past 5 years, major research activity on RSV has yielded substantial new data from developing countries. With a considerably expanded dataset from a large international collaboration, we aimed to estimate the global incidence, hospital admission rate, and mortality from RSV-ALRI episodes in young children in 2015. Methods - We estimated the incidence and hospital admission rate of RSV-associated ALRI (RSV-ALRI) in children younger than 5 years stratified by age and World Bank income regions from a systematic review of studies published between Jan 1, 1995, and Dec 31, 2016, and unpublished data from 76 high quality population-based studies. We estimated the RSV-ALRI incidence for 132 developing countries using a risk factor-based model and 2015 population estimates. We estimated the in-hospital RSV-ALRI mortality by combining in-hospital case fatality ratios with hospital admission estimates from hospital-based (published and unpublished) studies. We also estimated overall RSV-ALRI mortality by identifying studies reporting monthly data for ALRI mortality in the community and RSV activity. Findings - We estimated that globally in 2015, 33*1 million (uncertainty range [UR] 21*6-50*3) episodes of RSV-ALRI, resulted in about 3*2 million (2*7-3*8) hospital admissions, and 59 600 (48 000-74 500) in-hospital deaths in children younger than 5 years. In children younger than 6 months, 1*4 million (UR 1*2-1*7) hospital admissions, and 27 300 (UR 20 700-36 200) in-hospital deaths were due to RSV-ALRI. We also estimated that the overall RSV-ALRI mortality could be as high as 118 200 (UR 94 600-149 400). Incidence and mortality varied substantially from year to year in any given population. Interpretation Globally, RSV is a common cause of childhood ALRI and a major cause of hospital admissions in young children, resulting in a substantial burden on health-care services. About 45% of hospital admissions and in- hospital deaths due to RSV-ALRI occur in children younger than 6 months. An effective maternal RSV vaccine or monoclonal antibody could have a substantial effect on disease burden in this age group.

  19. F

    Finland FI: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Finland FI: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Guideline Value: % of Total [Dataset]. https://www.ceicdata.com/en/finland/environment-pollution/fi-pm25-air-pollution-population-exposed-to-levels-exceeding-who-guideline-value--of-total
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1990 - Dec 1, 2016
    Area covered
    Finland
    Description

    Finland FI: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Guideline Value: % of Total data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Finland FI: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Guideline Value: % of Total data is updated yearly, averaging 0.104 % from Dec 1990 (Median) to 2016, with 11 observations. The data reached an all-time high of 0.820 % in 1990 and a record low of 0.000 % in 2016. Finland FI: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Guideline Value: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Finland – Table FI.World Bank: Environment: Pollution. Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.; ; Brauer, M. et al. 2016, for the Global Burden of Disease Study 2016.; Weighted average;

  20. f

    Table 1_Long-term trends and comparison of the burden of lower respiratory...

    • frontiersin.figshare.com
    xlsx
    Updated Dec 10, 2024
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    Zhiwei Wang; Shuqi Meng; Yan Fan; Jianfeng Liu; Lina Zhao; Yan Cui; Keliang Xie (2024). Table 1_Long-term trends and comparison of the burden of lower respiratory tract infections in China and globally from 1990 to 2021: an analysis based on the Global Burden of Disease study 2021.xlsx [Dataset]. http://doi.org/10.3389/fpubh.2024.1507672.s001
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    xlsxAvailable download formats
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Frontiers
    Authors
    Zhiwei Wang; Shuqi Meng; Yan Fan; Jianfeng Liu; Lina Zhao; Yan Cui; Keliang Xie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThis study aimed to describe the temporal trends in the age and sex burdens of lower respiratory infections (LRIs) in China and globally from 1990 to 2021 and to analyze their epidemiological characteristics to formulate corresponding strategies to control LRIs.MethodsThis study utilized open data from the Global Burden of Disease (GBD) database from 1990 to 2021 to assess the burden of disease based on the prevalence, incidence, mortality, years lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) of LRIs in China and globally. Moreover, a comprehensive comparative analysis of the epidemiological characteristics of LRIs in China and globally was conducted via the Joinpoint regression model, age-period-cohort model (APC model), and stratified analysis of the study method from multiple dimensions, such as age, sex, and period. Finally, we used an autoregressive integrated moving average (ARIMA) model to predict the disease burden in LRIs over the next 15 years.ResultsFrom 1990 to 2021, China's age-standardized incidence, deaths, and disability-adjusted life year (DALY) rates per 100,000 people decreased from 5,481.13 (95% CI: 5,149.05, 5,836.35) to 2,853.81 (95% CI: 2,663.94, 3,067.55), from 60.65 (95% CI. 52.96, 66.66) to 14.03 (95% CI: 11.68, 17) and from 3,128.39 (95% CI: 2,724.11, 3,579.57) to 347.67 (95% CI: 301.28, 402.94). The global age-standardized incidence, deaths, and DALY rates per 100,000 people, on the other hand, decreased from 6,373.17 (95% CI: 5,993.51, 6,746.04) to 4,283.61 (95% CI: 4,057.03, 4,524.89) and from 61.81 (95% CI: 56.66, 66.74) to 28.67 (95% CI: 25.92, 31.07) and from 3,472.9 (95% CI: 3,090.71, 3,872.11) to 1,168.8 (95% CI: 1,016.96, 1,336.95). The decline in the aforementioned indicators is greater in the female population than in the male population, and the decrease in China is more pronounced than the global trend. In China, the age-standardized incidence and mortality rates of LRIs showed an annual average percentage change (AAPC) of −2.12 (95% CI: −2.20, −2.03) and −4.77 (95% CI: −5.14, −4.39), respectively. Globally, the age-standardized incidence and mortality rates for LRIs decreased by −1.28 (95% CI: −1.37, −1.18) and −2.47 (95% CI: −2.61, −2.32). By 2036, the incidence of lower respiratory infections (LRI) among men and women in China is projected to decrease by 36.55 and 46.87%, respectively, while the mortality rates are expected to decline to 12.67% for men and increase by 71.85% for women. In comparison, the global decline in LRI incidence is lower than that observed in China, yet the reduction in mortality rates is greater globally than in China.ConclusionsAge-standardized incidence, mortality and disability-adjusted life years (DALYs) decreased more in China than at the global level between 1990 and 2021. Compared with the previous period, the COVID-19 pandemic has led to a significant decrease in the disease burden of LRIs. As the population continues to age, the disease burden of LRIs in the old adult population will become a major new public health challenge.

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David Cundiff (2021). Global Burden of Disease analysis dataset of BMI and CVD outcomes, risk factors, and SAS codes [Dataset]. http://doi.org/10.17632/g6b39zxck4.6

Global Burden of Disease analysis dataset of BMI and CVD outcomes, risk factors, and SAS codes

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Dataset updated
Aug 17, 2021
Authors
David Cundiff
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including body mass index (BMI) and cardiovascular disease (CVD) and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of BMI and CVD and other health outcomes with risk factors. Our research hypothesis is that we can successfully apply artificial intelligence to model BMI and CVD risk factors and health outcomes. We derived a BMI multiple regression risk factor formula that satisfied all nine Bradford Hill causality criteria for epidemiology research. We found that animal products and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths in high quantities. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats.

For questions, please email davidkcundiff@gmail.com. Thanks.

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