71 datasets found
  1. CDC Library Subscription Databases

    • data.virginia.gov
    • healthdata.gov
    • +3more
    csv, json, rdf, xsl
    Updated Oct 7, 2024
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    Centers for Disease Control and Prevention (2024). CDC Library Subscription Databases [Dataset]. https://data.virginia.gov/dataset/cdc-library-subscription-databases
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    rdf, json, xsl, csvAvailable download formats
    Dataset updated
    Oct 7, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    A complete listing of subscription databases provided by the Stephen B. Thacker CDC Library.

  2. CDC WONDER: Sexually Transmitted Disease (STD) morbidity

    • catalog.data.gov
    • healthdata.gov
    Updated Jul 29, 2025
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2025). CDC WONDER: Sexually Transmitted Disease (STD) morbidity [Dataset]. https://catalog.data.gov/dataset/cdc-wonder-sexually-transmitted-disease-std-morbidity
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    Dataset updated
    Jul 29, 2025
    Description

    The Sexually Transmitted Disease (STD) Morbidity online databases on CDC WONDER contain case reports reported from the 50 United States and D.C., Puerto Rico, Virgin Islands and Guam. The online databases report the number of cases and disease incidence rates by year, state, disease, age, sex of patient, type of STD, and area of report, since 1984. Data are updated annually. Data are produced by the U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, viral Hepatitis, STD and TB Prevention (NCHHSTP).

  3. CDC WONDER API for Data Query Web Service

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Jul 26, 2023
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). CDC WONDER API for Data Query Web Service [Dataset]. https://catalog.data.gov/dataset/wide-ranging-online-data-for-epidemiologic-research-wonder
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    Dataset updated
    Jul 26, 2023
    Description

    WONDER online databases include county-level Compressed Mortality (death certificates) since 1979; county-level Multiple Cause of Death (death certificates) since 1999; county-level Natality (birth certificates) since 1995; county-level Linked Birth / Death records (linked birth-death certificates) since 1995; state & large metro-level United States Cancer Statistics mortality (death certificates) since 1999; state & large metro-level United States Cancer Statistics incidence (cancer registry cases) since 1999; state and metro-level Online Tuberculosis Information System (TB case reports) since 1993; state-level Sexually Transmitted Disease Morbidity (case reports) since 1984; state-level Vaccine Adverse Event Reporting system (adverse reaction case reports) since 1990; county-level population estimates since 1970. The WONDER web server also hosts the Data2010 system with state-level data for compliance with Healthy People 2010 goals since 1998; the National Notifiable Disease Surveillance System weekly provisional case reports since 1996; the 122 Cities Mortality Reporting System weekly death reports since 1996; the Prevention Guidelines database (book in electronic format) published 1998; the Scientific Data Archives (public use data sets and documentation); and links to other online data sources on the "Topics" page.

  4. CDC WONDER: Mortality - Infant Deaths

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Jul 29, 2025
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2025). CDC WONDER: Mortality - Infant Deaths [Dataset]. https://catalog.data.gov/dataset/cdc-wonder-mortality-infant-deaths
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    Dataset updated
    Jul 29, 2025
    Description

    The Mortality - Infant Deaths (from Linked Birth / Infant Death Records) online databases on CDC WONDER provide counts and rates for deaths of children under 1 year of age, occuring within the United States to U.S. residents. Information from death certificates has been linked to corresponding birth certificates. Data are available by county of mother's residence, child's age, underlying cause of death, sex, birth weight, birth plurality, birth order, gestational age at birth, period of prenatal care, maternal race and ethnicity, maternal age, maternal education and marital status. Data are available since 1995. The data are produced by the National Center for Health Statistics.

  5. CDC WONDER: AIDS Public Use Data

    • healthdata.gov
    • data.virginia.gov
    • +3more
    csv, xlsx, xml
    Updated Feb 13, 2021
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    (2021). CDC WONDER: AIDS Public Use Data [Dataset]. https://healthdata.gov/dataset/CDC-WONDER-AIDS-Public-Use-Data/y3f9-hrs4
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    The AIDS Public Information Data Set (APIDS) for years 1981-2002 on CDC WONDER online database contains counts of AIDS (Acquired Immune Deficiency Syndrome) cases reported by state and local health departments, by demographics; location (region and selected metropolitan areas); case-definition; month/year and quarter-year of diagnosis, report, and death (if applicable); and HIV exposure group (risk factors for AIDS). Data are produced by the US Department of Health and Human Services (US DHHS), Public Health Service (PHS), Centers for Disease Control and Prevention (CDC), National Center for HIV, STD and TB Prevention (NCHSTP), Division of HIV/AIDS Prevention (DHP).

  6. CDC Library Subscription Databases - jmhd-c46f - Archive Repository

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 16, 2025
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    (2025). CDC Library Subscription Databases - jmhd-c46f - Archive Repository [Dataset]. https://healthdata.gov/dataset/CDC-Library-Subscription-Databases-jmhd-c46f-Archi/2pyy-7fw5
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Jul 16, 2025
    Description

    This dataset tracks the updates made on the dataset "CDC Library Subscription Databases" as a repository for previous versions of the data and metadata.

  7. C

    Change Data Capture (CDC) Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 22, 2025
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    Data Insights Market (2025). Change Data Capture (CDC) Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/change-data-capture-cdc-tools-1962628
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Change Data Capture (CDC) tools market is experiencing robust growth, driven by the increasing need for real-time data integration and analytics across diverse data sources. The market's expansion is fueled by the rising adoption of cloud-based solutions, the burgeoning demand for data-driven decision-making across various industries (e.g., finance, healthcare, e-commerce), and the need for efficient and reliable data synchronization between operational databases and data warehouses or lakes. Key trends shaping the market include the emergence of serverless architectures, advancements in AI-powered data integration, and a growing focus on data security and compliance. While the initial investment in implementing CDC solutions can be a barrier for some organizations, the long-term benefits in terms of improved operational efficiency, faster insights, and reduced data latency significantly outweigh the costs. Competition is intensifying amongst established players like Oracle and IBM, and innovative startups like Fivetran and Airbyte, leading to continuous product enhancements and pricing strategies to cater to a wider range of customer needs. The market is segmented by deployment type (cloud, on-premise), data source (relational databases, NoSQL databases), and industry vertical, reflecting the diverse applications of CDC technology. We project continued strong growth for the foreseeable future, with specific growth rates depending on the segment and region. The forecast period of 2025-2033 presents a significant opportunity for growth within the CDC tools market. Several factors will contribute to this sustained expansion. Firstly, the increasing adoption of hybrid cloud and multi-cloud strategies will further fuel the demand for robust and flexible CDC solutions capable of handling data from diverse environments. Secondly, the growing emphasis on real-time data streaming and analytics will necessitate more sophisticated CDC tools that can deliver low-latency data pipelines. Thirdly, advancements in automation and self-service capabilities within CDC platforms will empower more organizations to adopt these technologies independently, thereby driving market expansion. The market's competitive landscape will likely continue to evolve, with mergers and acquisitions, strategic partnerships, and continuous innovation shaping the future dynamics of the sector. This implies that vendors must focus on providing robust, scalable, and user-friendly solutions with strong customer support to maintain their competitive edge.

  8. CDC WONDER: Sexually Transmitted Disease (STD) Morbidity

    • healthdata.gov
    • data.virginia.gov
    • +4more
    csv, xlsx, xml
    Updated Feb 13, 2021
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    (2021). CDC WONDER: Sexually Transmitted Disease (STD) Morbidity [Dataset]. https://healthdata.gov/widgets/q3x2-f986?mobile_redirect=true
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    The Sexually Transmitted Disease (STD) Morbidity online databases on CDC WONDER contain case reports reported from the 50 United States and D.C., Puerto Rico, Virgin Islands and Guam. The online databases report the number of cases and disease incidence rates by year, state, disease, age, sex of patient, type of STD, and area of report. Data are produced by the U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, viral Hepatitis, STD and TB Prevention (NCHHSTP).

  9. CDC WONDER: Population (from Census)

    • catalog.data.gov
    Updated Jul 16, 2025
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2025). CDC WONDER: Population (from Census) [Dataset]. https://catalog.data.gov/dataset/cdc-wonder-population-from-census-53f75
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    Dataset updated
    Jul 16, 2025
    Description

    The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for years 1970 - 2000. The data comprise the April 1st Census counts for years 1970, 1980, 1990 and 2000, the July 1st intercensal estimates for years 1971-1979 and 1981-1989, and the July 1st postcensal estimates for years 1991-1999. The Census Projections online database contains population projections for years 2004-2030 by year, state, age, race and sex, prodyced by teh Cenus Bureau in 2005. The data are produced by the United States Department of Commerce, U.S. Census Bureau, Population Division.

  10. CDC WONDER: Births

    • s.cnmilf.com
    • healthdata.gov
    • +5more
    Updated Jul 29, 2025
    + more versions
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2025). CDC WONDER: Births [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/cdc-wonder-births-de22b
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    Dataset updated
    Jul 29, 2025
    Description

    The Births (Natality) online databases in CDC WONDER report birth rates, fertility rates and counts of live births occurring within the United States to U.S. residents and non-residents. Counts can be obtained by state, county, child's sex and weight, mother's race, mother's age, mother's education, gestation period, prenatal care, birth plurality, and mother's medical and tobacco use risk factors. The data are derived from birth certificates. Data are available since 1995. The data are produced by the National Center for Health Statistics.

  11. CDC WONDER: Population (from Census)

    • data.virginia.gov
    • healthdata.gov
    • +3more
    html
    Updated Jul 25, 2023
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). CDC WONDER: Population (from Census) [Dataset]. https://data.virginia.gov/dataset/cdc-wonder-population-from-census
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    htmlAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for years 1970 - 2000. The data comprise the April 1st Census counts for years 1970, 1980, 1990 and 2000, the July 1st intercensal estimates for years 1971-1979 and 1981-1989, and the July 1st postcensal estimates for years 1991-1999. The Census Projections online database contains population projections for years 2004-2030 by year, state, age, race and sex, prodyced by teh Cenus Bureau in 2005. The data are produced by the United States Department of Commerce, U.S. Census Bureau, Population Division.

  12. US Vaccines Database Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). US Vaccines Database Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/us-vaccines-database-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This US Vaccines Database lists updated codes of vaccines as published and verified by the U.S. National Center for Immunization and Respiratory Diseases which is a part of CDC, Centers for Disease Control and Prevention.

  13. Anthropometric Database for the EMTs in the United States

    • healthdata.gov
    • datalumos.org
    • +2more
    csv, xlsx, xml
    Updated Nov 19, 2024
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    data.cdc.gov (2024). Anthropometric Database for the EMTs in the United States [Dataset]. https://healthdata.gov/CDC/Anthropometric-Database-for-the-EMTs-in-the-United/ntcb-eqg4
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Nov 19, 2024
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Deaths or serious injuries among emergency medical technicians (EMTs) and other ambulance occupants occur at a high rate during transport. According to a study by the National Institute for Occupational Safety and Health (NIOSH), EMTs and paramedics have higher fatality rates when compared to all workers, with forty-five percent of EMT deaths resulting from highway incidents, primarily due to vehicle collisions.1 Data from the National Highway and Traffic Safety Administration showed that among the persons killed in crashes involving an ambulance between 1992 and 2011, twenty one percent were EMTs and patients, while four percent were ambulance drivers.2 To reduce injury potential to the EMTs and other ambulance occupants, NIOSH, the Department of Homeland Security, the U.S. General Services Administration, and the National Institute of Standards and Technology, along with private industry partners, have committed to improving the workspace design of ambulance patient compartments for safe and effective perfo

  14. H

    Extracted Data From: CDC/ATSDR Social Vulnerability Index

    • dataverse.harvard.edu
    Updated Feb 18, 2025
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    Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry (2025). Extracted Data From: CDC/ATSDR Social Vulnerability Index [Dataset]. http://doi.org/10.7910/DVN/MZF7XQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 31, 2000
    Area covered
    United States
    Description

    This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information If you have questions about the underlying data stored here, please contact the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry at svi_coordinator@cdc.gov. If you have questions about this metadata entry, please contact the CAFE team at climatecafe@bu.edu. Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index [2022, 2020, 2018, 2016, 2014, 2010, and 2000] Database [U.S.]. https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html Accessed on 17 December, 2024. "The Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index (hereafter, CDC/ATSDR SVI or SVI) is a place-based index, database, and mapping application designed to identify and quantify communities experiencing social vulnerability. The Geospatial Research, Analysis & Services Program (GRASP) maintains the CDC/ATSDR SVI to help public health officials and local planners better prepare for and respond to emergency events with the goal of decreasing human suffering, economic loss, and health inequities." [Quote from https://www.atsdr.cdc.gov/place-health/php/svi/]

  15. NIOSH Health Hazard Evaluation Program Noise Measurement Database

    • healthdata.gov
    • data.virginia.gov
    • +1more
    csv, xlsx, xml
    Updated Nov 19, 2024
    + more versions
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    data.cdc.gov (2024). NIOSH Health Hazard Evaluation Program Noise Measurement Database [Dataset]. https://healthdata.gov/CDC/NIOSH-Health-Hazard-Evaluation-Program-Noise-Measu/a9hj-sss9
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Nov 19, 2024
    Dataset provided by
    data.cdc.gov
    Description

    This noise database was developed to provide researchers and other interested stakeholders with noise measurement results that the National Institute for Occupational Safety and Health (NIOSH) has collected during health hazard evaluation (HHE) surveys from 1996 through 2013. HHEs are requested by employees or their representatives, or employers, to help learn whether health hazards are present at their workplace. The scope of HHEs varies based on the requestors’ concerns and the NIOSH project officers’ professional judgment. Only noise measurement results are included in this database; however, many HHEs include evaluation of exposures other than noise. Individual HHE reports are published on the NIOSH website. When available, the database provides a direct link to the HHE report for each of the noise measurement results.

    The noise database contains workplace noise measurement results from 77 HHE reports, including over 808 personal noise exposure measurements and 582 area noise measurements. It also includes the following information: U.S. state or territory; Occupational Safety and Health Administration (OSHA) region; National Occupational Research Agenda (NORA) sector; North American Industry Classification System (NAICS) code; facility description; type of dosimeter or sound level meter used; whether a hearing conservation program was in place; whether a hearing protection was used; whether octave band data was collected; job title; noise-generating activities; location of noise measurements; start and end date for site visit; type (full-shift, partial-shift, or task-based) and duration of noise measurement; type of noise (continuous, impulsive, or intermittent); exposure to ototoxic chemicals; and results in decibels A-weighted (dBA) and percent dose according to OSHA and NIOSH noise measurement criteria. This database is an ongoing project and will be updated at least yearly to add the most recent HHE noise measurement data.

  16. Table of the CDC PLACES county-level data including four underlying themes...

    • plos.figshare.com
    xls
    Updated Jan 26, 2024
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    Ramzi Ibrahim; Adam Habib; Kristina Terrani; Soumiya Ravi; Chelsea Takamatsu; Mohammed Salih; João Paulo Ferreira (2024). Table of the CDC PLACES county-level data including four underlying themes encompassing 29 distinct chronic disease/social determinants of health-related measures. [Dataset]. http://doi.org/10.1371/journal.pone.0292167.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ramzi Ibrahim; Adam Habib; Kristina Terrani; Soumiya Ravi; Chelsea Takamatsu; Mohammed Salih; João Paulo Ferreira
    License

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

    Description

    Table of the CDC PLACES county-level data including four underlying themes encompassing 29 distinct chronic disease/social determinants of health-related measures.

  17. f

    Data from: Demographic and regional mortality trends in patients with asthma...

    • tandf.figshare.com
    docx
    Updated May 20, 2025
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    Sophia Ahmed; Muhammad Asfandyar Nadir; Areej Iftikhar; Hamza Ashraf; Mohammad Ashraf (2025). Demographic and regional mortality trends in patients with asthma in the United States (1999–2020): a CDC WONDER analysis [Dataset]. http://doi.org/10.6084/m9.figshare.28418343.v1
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    docxAvailable download formats
    Dataset updated
    May 20, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Sophia Ahmed; Muhammad Asfandyar Nadir; Areej Iftikhar; Hamza Ashraf; Mohammad Ashraf
    License

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

    Area covered
    United States
    Description

    Around 7.7% of Americans have asthma, including 20.2 million adults and 4.6 million children. This study examines asthma mortality trends and disparities across U.S. demographic and geographic groups from 1999 to 2020. A retrospective analysis was conducted using the CDC WONDER database to examine asthma-related deaths in the U.S. from 1999 to 2020. Age-adjusted mortality rates (AAMRs) and crude mortality rates (CMRs) per 100,000 were calculated. Trends and annual percent changes (APCs) were assessed overall and stratified by sex, race, region, and age. From 1999 to 2020, the U.S. recorded 221 161 asthma-related deaths (AAMR: 3.07), mostly in medical facilities. Mortality declined from 1999 to 2018 (APC: −1.53%) but surged from 2018 to 2020 (APC: 28.63%). Females, NH Blacks, and NH American Indians had the highest mortality rates. Older adults (≥65) had the greatest burden, with younger groups showing notable increases post-2018. Rural areas and the West reported slightly higher rates than urban and other regions. Hawaii and the District of Columbia had the highest AAMRs, while Florida and Nevada had the lowest. Asthma-related mortality in the U.S. declined until 2018 but sharply increased from 2018 to 2020, with rises across all demographic groups, regions, and settings. Females, NH Blacks, and older adults consistently had higher mortality rates, while younger age groups showed recent alarming increases. Targeted interventions are urgently needed to address inequities and recent mortality surges.

  18. G

    Change Data Capture for Vehicle Databases Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 7, 2025
    + more versions
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    Growth Market Reports (2025). Change Data Capture for Vehicle Databases Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/change-data-capture-for-vehicle-databases-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Change Data Capture for Vehicle Databases Market Outlook



    According to our latest research, the global market size for Change Data Capture (CDC) for Vehicle Databases reached USD 1.37 billion in 2024, reflecting robust adoption across the automotive industry. The market is projected to grow at a CAGR of 13.2% from 2025 to 2033, reaching an estimated USD 4.12 billion by 2033. Key growth factors include the accelerated digital transformation of the automotive sector, the proliferation of connected vehicles, and the increasing demand for real-time data analytics and regulatory compliance. As per our latest research, these trends are fundamentally reshaping data management strategies for automotive stakeholders worldwide.




    The growth of the Change Data Capture for Vehicle Databases market is being propelled by the exponential rise in connected vehicle technologies and the integration of advanced telematics systems. Modern vehicles are equipped with a myriad of sensors and IoT devices that continuously generate vast amounts of data. CDC solutions enable seamless real-time synchronization and transfer of this data across distributed databases, ensuring that automotive OEMs, fleet operators, and service providers can leverage up-to-date information for predictive maintenance, enhanced safety, and improved customer experiences. This surge in demand for real-time and accurate data management is a primary driver behind the substantial market expansion observed in recent years.




    Another significant growth factor is the increasing regulatory requirements for vehicle data transparency and compliance. Governments across the globe are instituting stringent mandates for data retention, emissions monitoring, and safety reporting, necessitating robust database management solutions. CDC technologies facilitate the efficient capture and tracking of data modifications, enabling stakeholders to maintain comprehensive audit trails and demonstrate compliance with evolving standards. Moreover, the automotive insurance sector is leveraging CDC-enabled data pipelines to refine risk assessment models and offer usage-based insurance products, further broadening the market's application scope and fueling its upward trajectory.




    The market is also benefiting from the rapid adoption of cloud-based deployment models and the integration of CDC solutions with AI-driven analytics platforms. Cloud deployment not only reduces infrastructure costs but also enhances scalability and accessibility, making advanced data management feasible for both large enterprises and small-to-medium-sized fleet operators. The synergy between CDC and AI technologies is unlocking new opportunities for real-time diagnostics, automated decision-making, and personalized vehicle services. As industry players continue to invest in digital transformation initiatives, the CDC for Vehicle Databases market is poised to witness sustained growth and innovation throughout the forecast period.




    From a regional perspective, North America currently leads the market due to its early adoption of connected vehicle technologies and a mature automotive ecosystem. However, Asia Pacific is expected to witness the fastest growth, driven by the rapid expansion of the automotive sector, increasing vehicle electrification, and supportive government policies promoting digital infrastructure. Europe remains a critical market, characterized by stringent data privacy regulations and a strong focus on sustainability. Each region presents unique opportunities and challenges, with localization of CDC solutions emerging as a key strategy for market penetration and compliance with diverse regulatory frameworks.





    Component Analysis



    The Component segment of the Change Data Capture for Vehicle Databases market is typically categorized into software, hardware, and services. The software component dominates the market, accounting for the largest revenue share in 2024. This dominance is attributed to the critical role of CD

  19. Severe maternal morbidity: A population-based study of an expanded measure...

    • plos.figshare.com
    pdf
    Updated May 30, 2023
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    Victoria Lazariu; Trang Nguyen; Louise-Anne McNutt; Jillian Jeffrey; Marilyn Kacica (2023). Severe maternal morbidity: A population-based study of an expanded measure and associated factors [Dataset]. http://doi.org/10.1371/journal.pone.0182343
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Victoria Lazariu; Trang Nguyen; Louise-Anne McNutt; Jillian Jeffrey; Marilyn Kacica
    License

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

    Description

    Severe maternal morbidity conditions such as sepsis, embolism and cardiac arrest during the delivery hospitalization period can lead to extended length of hospital stays, life-long maternal health problems, and high medical costs. Most importantly, these conditions also contribute to the risk of maternal death. This population-based observational study proposed and evaluated the impact of expanding the Centers for Disease Control and Prevention (CDC) measure of severe maternal morbidity by including additional comorbidities and intensive care admissions during delivery hospitalizations and examined associated factors. A New York State linked hospitalization and birth record database was used. Study participants included all New York State female residents, ages 10 to 55 years, who delivered a live infant in a New York acute care hospital between 2008 and 2013, inclusive. Incidence trends for both severe maternal morbidity measures were evaluated longitudinally. Associations between covariates and the two severe maternal morbidity measures were examined with logistic regression models, solved using generalized estimating equations and stratified by method of delivery. The New York expanded severe maternal morbidity measure identified 34,478 cases among 1,352,600 hospital deliveries (estimated incidence 2.55%) representing a 3% increase in the number of cases compared to the CDC measure. Both estimates increased over the study period (p 1.5 included most measured comorbidities (e.g., pregnancy-induced hypertension, placentation disorder), multiple births, preterm birth, no prenatal care, hospitalization prior to delivery, higher levels of perinatal care birthing facilities and race/ethnicity. Expanding the measure for severe maternal morbidity during delivery to capture intensive care admissions provides a more sensitive estimate of disease burden. Perinatal regionalization in New York appears effective in routing high risk pregnancies to higher levels of perinatal care birthing facilities.

  20. Table 1_Temporal trends of cervical cancer demographics: a CDC WONDER...

    • frontiersin.figshare.com
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    Updated Jul 18, 2025
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    Grace Folino; Isabella Zent; Lillian Eason; Vikram Murugan; Taylor Billion; Ali Bin Abdul Jabbar; Mohsin Mirza; Abubakar Tauseef (2025). Table 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.docx [Dataset]. http://doi.org/10.3389/fonc.2025.1567305.s001
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    docxAvailable download formats
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Grace Folino; Isabella Zent; Lillian Eason; Vikram Murugan; Taylor Billion; Ali Bin Abdul Jabbar; Mohsin Mirza; Abubakar Tauseef
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    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionDespite advancements in cervical cancer screening and HPV vaccines, demographic disparities perpetuate the burden of cervical cancer. The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. In doing so, temporal trends found in this study may be used to guide future efforts and studies to understand nuanced barriers to cervical cancer screening and prevention.MethodsWith CDC WONDER Data, cervical cancer-related mortality was assessed in the U.S. from 1999 to 2023. Using age-adjusted mortality rates (AAMR), temporal trends were analyzed using the Joinpoint Regression Program for women 25 years and older across race, census regions, urban/rural residence, and states. Annual percentage change (APC) and average annual percentage change (AAPC) were calculated with 95% confidence intervals.ResultsCervical cancer-related mortality declined over the study period with an AAPC of –1.043*. Between 2015 and 2023, there was a concerning positive change in AAMR [APC of 0.1272 (95% CI –0.3393 to 1.7502)], though not statistically significant. Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. Region and race analysis demonstrated Black or African American patients in the Northeast held the largest decline in AAMR [AAPC of –3.218* (95% CI –3.708 to –2.390)], while Hispanic or Latino and Black or African American patients in the South closely followed AAPC of –1.347* (–1.898 to –0.824) and –2.656* (95% CI –2.939 to -2.350), respectively]. Rural areas (NonCore and Micropolitan) and the Southern region displayed a concerning positive trend after 2009 and 2010, though not statistically significant [APC values of 0.772 (95% CI -0.328 to 4.888), 0.986 (95% CI –0.252 to 4.887), and 0.286 (95% CI –0.061 to 0.772), respectively].ConclusionThese findings underscore the need for targeted interventions with consideration of regional and racial temporal disparities in cervical cancer-related mortality.

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Centers for Disease Control and Prevention (2024). CDC Library Subscription Databases [Dataset]. https://data.virginia.gov/dataset/cdc-library-subscription-databases
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CDC Library Subscription Databases

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rdf, json, xsl, csvAvailable download formats
Dataset updated
Oct 7, 2024
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

A complete listing of subscription databases provided by the Stephen B. Thacker CDC Library.

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