28 datasets found
  1. d

    DC COVID-19 Total Positive Cases by Neighborhood

    • catalog.data.gov
    Updated Feb 4, 2025
    + more versions
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    City of Washington, DC (2025). DC COVID-19 Total Positive Cases by Neighborhood [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-total-positive-cases-by-neighborhood
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    District of Columbia COVID-19 positive cases reported by DC Health Planning Neighborhoods. Due to rapidly changing nature of COVID-19, data for March 2020 is limited. General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  2. d

    DC COVID-19 Tested Overall

    • opendata.dc.gov
    • datasets.ai
    • +1more
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Tested Overall [Dataset]. https://opendata.dc.gov/datasets/dc-covid-19-tested-overall/api
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. More information available at https://coronavirus.dc.gov.Data for overall Coronavirus cases and testing results. Demographics are presented by race, gender, ethnicity and age. Additional variables for personnel in the public safety, medical and human service workforce. District agencies are Metropolitan Police Department (MPD), Fire and Emergency Medical Services (FEMS), Department of Corrections (DOC), Department of Youth Rehabilitation Services (DYRS) and Department of Human Services (DHS). Data for Saint Elizabeth's Hospital available. DYRS, DOC and DHS further report on its resident populations. Visit https://coronavirus.dc.gov/page/coronavirus-data for interpretation analysis.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  3. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +4more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  4. d

    DC COVID-19 Department of Disability Services

    • opendata.dc.gov
    • s.cnmilf.com
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Department of Disability Services [Dataset]. https://opendata.dc.gov/datasets/dc-covid-19-department-of-disability-services/api
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. More information available at https://coronavirus.dc.gov. District of Columbia Department of Disability Services testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  5. a

    DC COVID-19 Office of Unified Communications

    • hub.arcgis.com
    • opendata.dc.gov
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Office of Unified Communications [Dataset]. https://hub.arcgis.com/datasets/328c5c920b6a4bdbbe7d3f4d7f9c1132
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Office of Unified Communications testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  6. d

    DC COVID-19 Department of Corrections

    • datasets.ai
    • opendata.dc.gov
    • +1more
    15, 21, 25, 3, 57, 8
    Updated Apr 30, 2024
    + more versions
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    District of Columbia (2024). DC COVID-19 Department of Corrections [Dataset]. https://datasets.ai/datasets/dc-covid-19-department-of-corrections
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    3, 57, 15, 21, 8, 25Available download formats
    Dataset updated
    Apr 30, 2024
    Dataset authored and provided by
    District of Columbia
    Area covered
    Washington
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. More information available at https://coronavirus.dc.gov. District of Columbia Department of Correction, both personnel and resident, testing for the number of positive tests, quarantined, returned to work, recovery and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.

    General Guidelines for Interpreting Disease Surveillance Data

    During a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  7. a

    DC COVID-19 Department of Human Services

    • hub.arcgis.com
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Department of Human Services [Dataset]. https://hub.arcgis.com/datasets/DCGIS::dc-covid-19-department-of-human-services
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Department of Human Services testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  8. a

    DC COVID-19 Child and Family Services Agency

    • hub.arcgis.com
    • catalog.midasnetwork.us
    • +1more
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Child and Family Services Agency [Dataset]. https://hub.arcgis.com/maps/DCGIS::dc-covid-19-child-and-family-services-agency
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. More information available at https://coronavirus.dc.gov. District of Columbia Child and Family Services Agency testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  9. a

    DC COVID-19 Hospital Beds and Ventilators

    • hub.arcgis.com
    • datasets.ai
    • +2more
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Hospital Beds and Ventilators [Dataset]. https://hub.arcgis.com/datasets/DCGIS::dc-covid-19-hospital-beds-and-ventilators
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    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. The data in this table includes overall COVID-19 statistics for the District of Columbia hospitals. The number of hospital beds and ventilators available. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance Data during a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  10. a

    DC COVID-19 District of Columbia Public Schools

    • datahub-dc-dcgis.hub.arcgis.com
    • opendata.dc.gov
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 District of Columbia Public Schools [Dataset]. https://datahub-dc-dcgis.hub.arcgis.com/datasets/DCGIS::dc-covid-19-district-of-columbia-public-schools/about
    Explore at:
    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Public Schools testing for the number of positive tests and quarantined. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  11. a

    DC COVID-19 Metropolitan Police Department

    • hub.arcgis.com
    • opendata.dc.gov
    • +1more
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Metropolitan Police Department [Dataset]. https://hub.arcgis.com/maps/DCGIS::dc-covid-19-metropolitan-police-department
    Explore at:
    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Metropolitan Police Department testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  12. m

    MD COVID19 TotalVaccinationsStatewideFirstandSecondSingleDose

    • coronavirus.maryland.gov
    • hub.arcgis.com
    Updated Mar 24, 2021
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    ArcGIS Online for Maryland (2021). MD COVID19 TotalVaccinationsStatewideFirstandSecondSingleDose [Dataset]. https://coronavirus.maryland.gov/datasets/maryland::md-covid19-totalvaccinationsstatewidefirstandsecondsingledose/about
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    Dataset updated
    Mar 24, 2021
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of COVID-19 vaccines distributed in Maryland.DescriptionThe MD COVID-19 - Total Doses Distributed Statewide data layer is a collection of the statewide COVID-19 vaccines that have been reported into VTrckS. Doses distributed also account for doses of vaccine provided to the District of Columbia to vaccinate Maryland residents who work in DC.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  13. State-level odds ratios and 95% confidence intervals (CI) for high versus...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Charlie B. Fischer; Nedghie Adrien; Jeremiah J. Silguero; Julianne J. Hopper; Abir I. Chowdhury; Martha M. Werler (2023). State-level odds ratios and 95% confidence intervals (CI) for high versus lower COVID-19 rates in the subsequent month. [Dataset]. http://doi.org/10.1371/journal.pone.0249891.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Charlie B. Fischer; Nedghie Adrien; Jeremiah J. Silguero; Julianne J. Hopper; Abir I. Chowdhury; Martha M. Werler
    License

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

    Description

    State-level odds ratios and 95% confidence intervals (CI) for high versus lower COVID-19 rates in the subsequent month.

  14. a

    DC COVID-19 Saint Elizabeths Hospital

    • hub.arcgis.com
    • opendata.dc.gov
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 Saint Elizabeths Hospital [Dataset]. https://hub.arcgis.com/maps/DCGIS::dc-covid-19-saint-elizabeths-hospital
    Explore at:
    Dataset updated
    Apr 27, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Saint Elizabeth's Hospital testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  15. COVID-19 State-Level Restrictions on Indoor In-Person Worship

    • thearda.com
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    The Association of Religion Data Archives, COVID-19 State-Level Restrictions on Indoor In-Person Worship [Dataset]. http://doi.org/10.17605/OSF.IO/ZGV76
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    Dataset provided by
    Association of Religion Data Archives
    Description

    This time-series dataset tracks restrictions to indoor in-person gatherings for worship during the COVID-19 pandemic from March 1, 2020, to July 1, 2021.

    The data were compiled from publicly available information provided by state government websites and documents. To collect this data, researchers reviewed the executive orders issued by governors from all 50 states and the mayor's office of Washington, D.C. over the relevant time period. In cases where the executive order delegated authority to another agency or department, such as the health department, researchers reviewed the relevant orders, guidance or press releases of those agencies or departments. In some cases where ambiguities about the exact limits of an order remained or needed confirmation, researchers reviewed press releases, presentations, court filings or new stories. The data were internally reviewed for consistency of interpretation of those orders and guidance.

    The data does not track restrictions or limits on outdoor worship.

    In cases where states implemented restrictions in the form of 'tiers' that included numeric caps or percent limits, the effective start and end date in the dataset pertains to the most restrictive potential tier when that system was in effect, whether or not any jurisdictions within that state were in those tiers.

  16. Covid-19 Case Surveillance Public Use Dataset

    • kaggle.com
    • data.virginia.gov
    • +7more
    zip
    Updated Mar 18, 2024
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    Möbius (2024). Covid-19 Case Surveillance Public Use Dataset [Dataset]. https://www.kaggle.com/arashnic/covid19-case-surveillance-public-use-dataset
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    zip(157633333 bytes)Available download formats
    Dataset updated
    Mar 18, 2024
    Authors
    Möbius
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context and Content

    The COVID-19 case surveillance system database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and states. On April 5, 2020, COVID-19 was added to the Nationally Notifiable Condition List and classified as “immediately notifiable, urgent (within 24 hours)” by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (Interim-20-ID-01). CSTE updated the position statement on August 5, 2020 to clarify the interpretation of antigen detection tests and serologic test results within the case classification. The statement also recommended that all states and territories enact laws to make COVID-19 reportable in their jurisdiction, and that jurisdictions conducting surveillance should submit case notifications to CDC. COVID-19 case surveillance data are collected by jurisdictions and shared voluntarily with CDC.

    For more information:

    https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf

    The deidentified data in the public use dataset include demographic characteristics, exposure history, disease severity indicators and outcomes, clinical data, laboratory diagnostic test results, and comorbidities. All data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.

    Acknowledgement

    https://www.cdc.gov/

    Inspiration

    • Covid-19 researches e.g. Demographic Trends of COVID-19 cases and deaths

    Version 2: Updated with preprocessed , reduced data ("Covid-19_Ver2.gz")

  17. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and...

    • data.cdc.gov
    • healthdata.gov
    • +1more
    csv, xlsx, xml
    Updated Feb 22, 2023
    + more versions
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    CDC COVID-19 Response, Epidemiology Task Force (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/ukww-au2k
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response, Epidemiology Task Force
    Description

    Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

    Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

    Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138

  18. Comprehensive COVID-19 State Data

    • kaggle.com
    zip
    Updated Sep 24, 2021
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    Cameron Gould (2021). Comprehensive COVID-19 State Data [Dataset]. https://www.kaggle.com/datasets/camerongould/comprehensive-covid19-state-data/discussion
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    zip(6660 bytes)Available download formats
    Dataset updated
    Sep 24, 2021
    Authors
    Cameron Gould
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    After observing many naive conversations about COVID-19, claiming that the pandemic can be blamed on just a few factors, I decided to create a data set, to map a number of different data points to every U.S. state (including D.C. and Puerto Rico).

    Content

    This data set contains basic COVID-19 information about each state, such as total population, total COVID-19 cases, cases per capita, COVID-19 deaths and death rate, Mask mandate start, and end dates, mask mandate duration (in days), and vaccination rates.

    However, when evaluating a pandemic (specifically a respiratory virus) it would be wise to also explore the population density of each state, which is also included. For those interested, I also included political party affiliation for each state ("D" for Democrat, "R" for Republican, and "I" for Puerto Rico). Vaccination rates are split into 1-dose and 2-dose rates.

    Also included is data ranking the Well-Being Index and Social Determinantes of Health Index for each state (2019). There are also several other columns that "rank" states, such as ranking total cases per state (ascending), total cases per capita per state (ascending), population density rank (ascending), and 2-dose vaccine rate rank (ascending). There are also columns that compare deviation between columns: case count rank vs population density rank (negative numbers indicate that a state has more COVID-19 cases, despite being lower in population density, while positive numbers indicate the opposite), as well as per-capita case count vs density.

    Acknowledgements

    Several Statista Sources: * COVID-19 Cases in the US * Population Density of US States * COVID-19 Cases in the US per-capita * COVID-19 Vaccination Rates by State

    Other sources I'd like to acknowledge: * Ballotpedia * DC Policy Center * Sharecare Well-Being Index * USA Facts * World Population Overview

    Inspiration

    I would like to see if any new insights could be made about this pandemic, where states failed, or if these case numbers are 100% expected for each state.

  19. p

    Short-term Curbside Demand and Behavior Patterns in the Era of COVID-19

    • parkdc.com
    Updated Aug 18, 2023
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    City of Washington, DC (2023). Short-term Curbside Demand and Behavior Patterns in the Era of COVID-19 [Dataset]. https://www.parkdc.com/documents/7e53e909a4df4676ba157c7306e61b82
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    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    City of Washington, DC
    Description

    Short-term Curbside Demand and Behavior Patterns in the Era of COVID-19: A Case Study from Washington, D.C.Author: David Carson Lipscomb

  20. m

    MD COVID19 TotalVaccinationsStatewide DataMart

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +1more
    Updated Mar 30, 2022
    + more versions
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    ArcGIS Online for Maryland (2022). MD COVID19 TotalVaccinationsStatewide DataMart [Dataset]. https://data.imap.maryland.gov/datasets/md-covid19-totalvaccinationsstatewide-datamart
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    Dataset updated
    Mar 30, 2022
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    Deprecated as of 4/21/2023On 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. For more information, visit https://imap.maryland.gov/pages/covid-dataSummaryThe cumulative number of COVID-19 vaccinations in Maryland: First dose, second dose, single dose, booster, total vaccinationsDescriptionThe MD COVID-19 - Total Vaccinations Statewide data layer is a collection of the statewide COVID-19 vaccinations that have been reported each day into ImmuNet. Doses administered also account for doses of vaccine provided to the District of Columbia to vaccinate Maryland residents who work in DC.CDC COVID10 Vaccinations in the United States,CountyCOVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

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City of Washington, DC (2025). DC COVID-19 Total Positive Cases by Neighborhood [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-total-positive-cases-by-neighborhood

DC COVID-19 Total Positive Cases by Neighborhood

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Dataset updated
Feb 4, 2025
Dataset provided by
City of Washington, DC
Area covered
Washington
Description

District of Columbia COVID-19 positive cases reported by DC Health Planning Neighborhoods. Due to rapidly changing nature of COVID-19, data for March 2020 is limited. General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

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