37 datasets found
  1. Number of rubella cases in the U.S. from 1998 to 2021, by year

    • statista.com
    Updated Apr 26, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Number of rubella cases in the U.S. from 1998 to 2021, by year [Dataset]. https://www.statista.com/statistics/1122516/rubella-cases-number-us/
    Explore at:
    Dataset updated
    Apr 26, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of confirmed cases of rubella, a vaccine-preventable disease, in the United States has decreased dramatically since 1998. This statistic shows the number of cases of rubella in the United States reported each year from 1998 to 2021.

  2. z

    Counts of Rubella reported in UNITED STATES OF AMERICA: 1966-2017

    • zenodo.org
    • tycho.pitt.edu
    • +1more
    json, xml, zip
    Updated Jun 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Willem Van Panhuis; Willem Van Panhuis; Anne Cross; Anne Cross; Donald Burke; Donald Burke (2024). Counts of Rubella reported in UNITED STATES OF AMERICA: 1966-2017 [Dataset]. http://doi.org/10.25337/t7/ptycho.v2.0/us.36653000
    Explore at:
    xml, zip, jsonAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset provided by
    Project Tycho
    Authors
    Willem Van Panhuis; Willem Van Panhuis; Anne Cross; Anne Cross; Donald Burke; Donald Burke
    License

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

    Time period covered
    Jan 2, 1966 - Dec 30, 2017
    Area covered
    United States
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretabilty. We also formatted the data into a standard data format.

    Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

    Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:

    • Analyze missing data: Project Tycho datasets do not inlcude time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported.
    • Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exxclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

  3. New cases of measles in the U.S. 1985-2025

    • statista.com
    • tokrwards.com
    Updated Oct 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). New cases of measles in the U.S. 1985-2025 [Dataset]. https://www.statista.com/statistics/186678/new-cases-of-measles-in-the-us-since-1950/
    Explore at:
    Dataset updated
    Oct 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    There were 285 new cases of measles in the U.S. in 2024. Measles, also known as rubeola, is an infectious disease that is highly contagious and affects mostly children. Common symptoms of measles include fever, runny nose, sore throat, cough, and a rash. Although death rates from measles have decreased around the world, it is still responsible for around 81,000 deaths worldwide per year. Measles vaccination The main reason for the decrease in measles cases and deaths is due to high vaccination rates. The widely used MMR vaccine protects against measles, mumps, and rubella and is safe and effective. In 2023, around 91 percent of adolescents in the U.S. aged 13 to 17 years had received an MMR vaccination. However, in recent years there has been a rise in measles cases in many parts of the world due to vaccine hesitancy. Vaccine hesitancy Vaccine hesitancy refers to a refusal or reluctance to have children vaccinated, despite the overwhelming evidence that vaccines are safe and effective. This hesitancy comes from a misunderstanding of the ingredients in vaccines and how they work, a mistrust of doctors and pharmaceutical companies, and belief in the unfounded associations of vaccines with other diseases and disorders.

  4. p

    Counts of Congenital rubella syndrome reported in UNITED STATES OF AMERICA:...

    • tycho.pitt.edu
    • data.niaid.nih.gov
    Updated Apr 1, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Willem G Van Panhuis; Anne L Cross; Donald S Burke (2018). Counts of Congenital rubella syndrome reported in UNITED STATES OF AMERICA: 2001-2017 [Dataset]. https://www.tycho.pitt.edu/dataset/US.1857005
    Explore at:
    Dataset updated
    Apr 1, 2018
    Dataset provided by
    Project Tycho, University of Pittsburgh
    Authors
    Willem G Van Panhuis; Anne L Cross; Donald S Burke
    Time period covered
    2001 - 2017
    Area covered
    United States
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

    Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

    Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

  5. NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome

    • catalog.data.gov
    • odgavaprod.ogopendata.com
    Updated Jul 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome [Dataset]. https://catalog.data.gov/dataset/nndss-table-1dd-rubella-to-rubella-congenital-syndrome-8780f
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. Notes: • These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf. • Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html. • The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance. Footnotes: *Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

  6. NNDSS - Table II. Rubella to Salmonellosis

    • catalog.data.gov
    • data.virginia.gov
    • +6more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Rubella to Salmonellosis [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-rubella-to-salmonellosis
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Rubella to Salmonellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.

  7. NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome

    • data.wu.ac.at
    • data.virginia.gov
    • +6more
    csv, json, xml
    Updated Jan 12, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Division of Health Informatics and Surveillance (DHIS), Centers for Disease Control and Prevention (2017). NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome [Dataset]. https://data.wu.ac.at/schema/data_cdc_gov/c2N4di00dTR1
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    Jan 12, 2017
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories.

    Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting.

    Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available.

    Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands.

    U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.

    *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.

    † Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

  8. Z

    Project Tycho Level 1 data: Counts of multiple diseases reported in UNITED...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Burke, Donald (2024). Project Tycho Level 1 data: Counts of multiple diseases reported in UNITED STATES OF AMERICA, 1916-2011 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_12608991
    Explore at:
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    University of Pittsburgh Graduate School of Public Health
    Authors
    Van Panhuis, Willem; Cross, Anne; Burke, Donald
    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

    Project Tycho data include counts of infectious disease cases or deaths per time interval. A count is equivalent to a data point. Project Tycho level 1 data include data counts that have been standardized for a specific, published, analysis. Standardization of level 1 data included representing various types of data counts into a common format and excluding data counts that are not required for the intended analysis. In addition, external data such as population data may have been integrated with disease data to derive rates or for other applications. Version 1.0.0 of level 1 data includes counts at the state level for smallpox, polio, measles, mumps, rubella, hepatitis A, and whooping cough and at the city level for diphtheria. The time period of data varies per disease somewhere between 1916 and 2011. This version includes cases as well as incidence rates per 100,000 population based on historical population estimates. These data have been used by investigators at the University of Pittsburgh to estimate the impact of vaccination programs in the United States, published in the New England Journal of Medicine: http://www.nejm.org/doi/full/10.1056/NEJMms1215400. See this paper for additional methods and detail about the origin of level 1 version 1.0.0 data. Level 1 version 1.0.0 data is represented in a CSV file with 7 columns:

    epi_week: a six digit number that represents the year and epidemiological week for which disease cases or deaths were reported (yyyyww) state: the two digit postal code state abbreviation that represents the state for which a count has been reported loc: the name of a state or city for which a count has been reported, capitalized loc_type: the type of location (STATE or CITY) for which a count has been reported disease: the disease for which a count has been reported: HEPATITIS A, MEASLES, MUMPS, PERTUSSIS, POLIO, RUBELLA, SMALLPOX, or DIPHTHERIA cases: the number of cases reported for the specified disease, epidemiological week, and location incidence_per_100000: the number of cases per 100,000 people, computed using historical population counts for cities and states as reported by the US Census Bureau

  9. nndss-table-ii-rubella-to-salmonellosis

    • huggingface.co
    Updated Jan 7, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health and Human Services (2016). nndss-table-ii-rubella-to-salmonellosis [Dataset]. https://huggingface.co/datasets/HHS-Official/nndss-table-ii-rubella-to-salmonellosis
    Explore at:
    Dataset updated
    Jan 7, 2016
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    NNDSS - Table II. Rubella to Salmonellosis

      Description
    

    NNDSS - Table II. Rubella to Salmonellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nndss-table-ii-rubella-to-salmonellosis.

  10. A

    ‘NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome’ analyzed by...

    • analyst-2.ai
    Updated Sep 30, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-nndss-table-1dd-rubella-to-rubella-congenital-syndrome-008d/fd49d020/?iid=010-493&v=presentation
    Explore at:
    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e4bdce3c-d530-4399-8b95-d5ec09954906 on 30 September 2021.

    --- Dataset description provided by original source is as follows ---

    NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

    Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

    Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

    Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks. * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

    --- Original source retains full ownership of the source dataset ---

  11. S

    NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome

    • splitgraph.com
    • datahub.hhs.gov
    • +7more
    Updated Jan 12, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    cdc-gov (2022). NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome [Dataset]. https://www.splitgraph.com/cdc-gov/nndss-table-1dd-rubella-to-rubella-congenital-iu3b-5ngj
    Explore at:
    application/openapi+json, application/vnd.splitgraph.image, jsonAvailable download formats
    Dataset updated
    Jan 12, 2022
    Authors
    cdc-gov
    Description

    NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

    Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

    Note:

    This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

    Footnotes:

    U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.

    -: No reported cases — The reporting jurisdiction did not submit any cases to CDC.

    N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.

    NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.

    NP: Nationally notifiable but not published.

    NC: Not calculated — There is insufficient data available to support the calculation of this statistic.

    Cum: Cumulative year-to-date counts.

    Max: Maximum — Maximum case count during the previous 52 weeks.

    †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  12. U.S. multi-state measles outbreak: number of infected people 2014-2015

    • statista.com
    Updated Apr 13, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2015). U.S. multi-state measles outbreak: number of infected people 2014-2015 [Dataset]. https://www.statista.com/statistics/385521/infected-with-measles-during-us-multi-state-outbreak/
    Explore at:
    Dataset updated
    Apr 13, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 28, 2014 - Apr 10, 2015
    Area covered
    United States
    Description

    This statistic shows the number of infected persons with measles during the U.S. multi-state outbreak in 2014-2015. The outbreak was linked to a Californian amusement park. In the period between December 28, 2014, and April 10, 2015, 147 persons who became infected with measles were linked to this multi-state outbreak.

    Multi-state measles outbreak in 2014-2015

    In the United States there are currently 140 people affected by the recent measles outbreak, with the majority of cases in California. Between December 2014 and February 2015, there were also 7 cases in Arizona and 3 in Utah. Cases of measles in the United States are not unheard of, there were 116 cases in 2001 and up to 27,786 cases in 1990. Measles is a highly contagious infection which is characterized by fever, cough, and a red rash that spreads across the body within days of the initial symptoms. In extreme cases, measles can be fatal. The recent outbreak has been associated with a movement among some parents that are refusing to vaccinate their children. This movement prevents the achievement of herd immunity. Many of the people who have contracted the disease were unvaccinated. In a 2011 survey, 67 percent of individuals stated that parents who chose not to vaccinate their children were naïve.

    The vaccination can prevent the disease and has decreased global mortality from the measles virus. Worldwide, about 94 percent of 1 year olds in the Americas are vaccinated against measles, compared to 78 percent in Southeast Asia. About 91.9 percent of children between the ages of 19 and 35 months have received the measles, mumps, and rubella (MMR) vaccination in the United States in 2013, up from a low of 86 percent in 1998.

  13. U.S. adults who felt the benefits of MMR vaccine outweigh risks 2016-2023

    • statista.com
    Updated Apr 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Preeti Vankar (2025). U.S. adults who felt the benefits of MMR vaccine outweigh risks 2016-2023 [Dataset]. https://www.statista.com/topics/13270/measles-in-the-us/
    Explore at:
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Preeti Vankar
    Area covered
    United States
    Description

    According to a survey from 2023, around 88 percent of U.S. adults stated they felt the benefits of childhood vaccines for measles, mumps and rubella (MMR) outweigh the risks. This number remained unchanged from surveys conducted in 2016 and 2019. This statistic shows the percentage of U.S. adults who stated the benefits of childhood vaccines for measles, mumps and rubella (MMR) outweigh the risks from 2016 to 2023.

  14. NNDSS - Table II. West Nile virus disease

    • s.cnmilf.com
    • data.virginia.gov
    • +9more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. West Nile virus disease [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/nndss-table-ii-west-nile-virus-disease-ab868
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. West Nile virus disease - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. † Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly. § Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. ¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.

  15. NNDSS - Table II. Meningococcal to Pertussis

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Meningococcal to Pertussis [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-meningococcal-to-pertussis
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Meningococcal to Pertussis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. † Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly. § Data for meningococcal disease, invasive caused by serogroups ACWY, serogroup B, other serogroups, and unknown serogroups are available in Table I.

  16. NNDSS - Table II. Mumps to Rabies, animal

    • catalog.data.gov
    • healthdata.gov
    • +6more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Mumps to Rabies, animal [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-mumps-to-rabies-animal
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Mumps to Rabies, animal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.

  17. NNDSS - Table II. Chlamydia to Coccidioidomycosis

    • catalog.data.gov
    • odgavaprod.ogopendata.com
    • +4more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Chlamydia to Coccidioidomycosis [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-chlamydia-to-coccidioidomycosis
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. † Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

  18. NNDSS - Table II. Tetanus to Vibriosis

    • catalog.data.gov
    • data.virginia.gov
    • +6more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Tetanus to Vibriosis [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-tetanus-to-vibriosis-35322
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Tetanus to Vibriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.

  19. NNDSS - Table II. Ehrlichiosis/Anaplasmosis

    • catalog.data.gov
    • data.virginia.gov
    • +7more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Ehrlichiosis/Anaplasmosis [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-ehrlichiosis-anaplasmosis
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Cumulative total E. ewingii cases reported for year 2015 = 0, and 14 cases reported for 2014.

  20. NNDSS - Table II. Babesiosis to Campylobacteriosis

    • catalog.data.gov
    • data.virginia.gov
    • +7more
    Updated Jun 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Babesiosis to Campylobacteriosis [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-babesiosis-to-campylobacteriosis
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Babesiosis to Campylobacteriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2023). Number of rubella cases in the U.S. from 1998 to 2021, by year [Dataset]. https://www.statista.com/statistics/1122516/rubella-cases-number-us/
Organization logo

Number of rubella cases in the U.S. from 1998 to 2021, by year

Explore at:
Dataset updated
Apr 26, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The number of confirmed cases of rubella, a vaccine-preventable disease, in the United States has decreased dramatically since 1998. This statistic shows the number of cases of rubella in the United States reported each year from 1998 to 2021.

Search
Clear search
Close search
Google apps
Main menu