39 datasets found
  1. d

    DC COVID-19 Total Positive Cases by Neighborhood

    • catalog.data.gov
    Updated Feb 4, 2025
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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. y

    District of Columbia Coronavirus Cases Per Day (DISCONTINUED)

    • ycharts.com
    html
    Updated Jun 8, 2023
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    Center for Disease Control and Prevention (2023). District of Columbia Coronavirus Cases Per Day (DISCONTINUED) [Dataset]. https://ycharts.com/indicators/district_of_columbia_coronavirus_cases_per_day
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    htmlAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    YCharts
    Authors
    Center for Disease Control and Prevention
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 23, 2020 - Oct 18, 2022
    Area covered
    Washington
    Variables measured
    District of Columbia Coronavirus Cases Per Day (DISCONTINUED)
    Description

    View daily updates and historical trends for District of Columbia Coronavirus Cases Per Day (DISCONTINUED). Source: Center for Disease Control and Prevent…

  3. d

    DC COVID-19 Department of Corrections

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Feb 5, 2025
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    GIS Data Coordinator, D.C. Office of the Chief Technology Officer , GIS Data Coordinator (2025). DC COVID-19 Department of Corrections [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-department-of-corrections
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    GIS Data Coordinator, D.C. Office of the Chief Technology Officer , GIS Data Coordinator
    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 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.

  4. d

    DC COVID-19 District of Columbia Public Schools

    • opendata.dc.gov
    • datahub-dc-dcgis.hub.arcgis.com
    Updated Apr 27, 2020
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    City of Washington, DC (2020). DC COVID-19 District of Columbia Public Schools [Dataset]. https://opendata.dc.gov/datasets/dc-covid-19-district-of-columbia-public-schools/geoservice
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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 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.

  5. d

    DC COVID-19 Hospital Beds and Ventilators

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Feb 5, 2025
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    GIS Data Coordinator, D.C. Office of the Chief Technology Officer , GIS Data Coordinator (2025). DC COVID-19 Hospital Beds and Ventilators [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-hospital-beds-and-ventilators
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    GIS Data Coordinator, D.C. Office of the Chief Technology Officer , GIS Data Coordinator
    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. 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.

  6. d

    DC COVID-19 Tested Overall

    • datasets.ai
    • opendata.dc.gov
    • +1more
    15, 21, 25, 3, 57, 8
    Updated Apr 30, 2024
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    District of Columbia (2024). DC COVID-19 Tested Overall [Dataset]. https://datasets.ai/datasets/dc-covid-19-tested-overall
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    57, 15, 3, 8, 21, 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.

    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 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. c

    DC COVID-19 Department of Disability Services

    • s.cnmilf.com
    • opendata.dc.gov
    Updated Feb 5, 2025
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    GIS Data Coordinator, D.C. Office of the Chief Technology Officer , GIS Data Coordinator (2025). DC COVID-19 Department of Disability Services [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/dc-covid-19-department-of-disability-services
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    GIS Data Coordinator, D.C. Office of the Chief Technology Officer , GIS Data Coordinator
    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 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.

  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 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.

  10. 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.

  11. g

    DC COVID-19 Department of Motor Vehicles

    • gimi9.com
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    DC COVID-19 Department of Motor Vehicles [Dataset]. https://gimi9.com/dataset/data-gov_dc-covid-19-department-of-motor-vehicles/
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    License

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

    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. District of Columbia Department of Motor Vehicles testing for the number of positive tests, quarantined, returned to work and deaths. 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. d

    DC COVID-19 Metropolitan Police Department

    • datasets.ai
    • opendata.dc.gov
    • +1more
    15, 21, 25, 3, 57, 8
    Updated Apr 30, 2024
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    District of Columbia (2024). DC COVID-19 Metropolitan Police Department [Dataset]. https://datasets.ai/datasets/dc-covid-19-metropolitan-police-department
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    57, 25, 15, 3, 21, 8Available 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. 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 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.

  13. Data from: COVID-19 Case Surveillance Public Use Data with Geography

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated May 8, 2021
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    Centers for Disease Control and Prevention (2021). COVID-19 Case Surveillance Public Use Data with Geography [Dataset]. https://catalog.data.gov/dataset/covid-19-case-surveillance-public-use-data-with-geography-0605b
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    Dataset updated
    May 8, 2021
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors. Currently, CDC provides the public with three versions of COVID-19 case surveillance line-listed data: this 19 data element dataset with geography, a 12 data element public use dataset, and a 32 data element restricted access dataset. The following apply to the public use datasets and the restricted access dataset: - Data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf. - Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers. - Some data are suppressed to protect individual privacy. - Datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the previously updated datasets. This 14-day lag allows case reporting to be stabilized and ensure that time-dependent outcome data are accurately captured. - Datasets are updated monthly. - Datasets are created using CDC’s Policy on Public Health Research and Nonresearch Data Management and Access and include protections designed to protect individual privacy. - For more information about data collection and reporting, please see wwwn.cdc.gov/nndss/data-collection.html. - For more information about the COVID-19 case surveillance data, please see www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html. Overview The COVID-19 case surveillance database includes patient-level data reported by 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 affiliates. 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 (Interim-20-ID-02). 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 collected by jurisdictions are shared voluntarily with CDC. For more information, visit: wwwn.cdc.gov/nndss/conditions/coronavirus-disease-2019-covid-19/case-definition/2020/08/05/. COVID-19 Case Reports COVID-19 case reports are routinely submitted to CDC by pu

  14. NYT COVID US Cases & Deaths

    • redivis.com
    application/jsonl +7
    Updated Feb 19, 2021
    + more versions
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    Redivis Demo Organization (2021). NYT COVID US Cases & Deaths [Dataset]. https://redivis.com/datasets/28ec-fsftysdhj
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    avro, csv, stata, application/jsonl, spss, sas, parquet, arrowAvailable download formats
    Dataset updated
    Feb 19, 2021
    Dataset provided by
    Redivis Inc.
    Authors
    Redivis Demo Organization
    Time period covered
    Jan 21, 2020 - Feb 16, 2021
    Area covered
    United States
    Description

    Abstract

    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.

    Documentation

    https://github.com/nytimes/covid-19-data

    U.S. National-Level Data

    The daily number of cases and deaths nationwide, including states, U.S. territories and the District of Columbia, can be found in the covid_us table. (Raw CSV file here.)

    %3E date,cases,deaths 2020-01-21,1,0 ...

    State-Level Data

    State-level data can be found in the covid_us_states table. (Raw CSV file here.)

    %3E date,state,fips,cases,deaths 2020-01-21,Washington,53,1,0 ...

    County-Level Data

    County-level data can be found in the covid_us_counties table. (Raw CSV file here.)

    %3E date,county,state,fips,cases,deaths 2020-01-21,Snohomish,Washington,53061,1,0 ...

    In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these.

  15. Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED

    • data.cdc.gov
    • healthdata.gov
    • +1more
    csv, xlsx, xml
    Updated Jun 1, 2023
    + more versions
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    CDC COVID-19 Response (2023). Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED [Dataset]. https://data.cdc.gov/w/pwn4-m3yp/tdwk-ruhb?cur=mQBYmd4Um4_
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

    Aggregate Data Collection Process Since the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps:

    • A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.
    • If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state.
    • CDC compiles these data and posts the finalized information on COVID Data Tracker.
    • County level data is aggregated to obtain state and territory specific totals.
    This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues.

    Methodology Changes Several differences exist between the current, weekly-updated dataset and the archived version:

    • Source: The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data.
    • Confirmed/Probable Cases/Death breakdown:  While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).
    • Time Series Frequency: The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction).
    • Update Frequency: The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022.
    Important note: The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.

    Confirmed and Probable Counts In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here:

    Council of State and Territorial Epidemiologists (ymaws.com).

    Deaths CDC reports death data on other sections of the website: CDC COVID Data Tracker: Home, CDC COVID Data Tracker: Cases, Deaths, and Testing, and NCHS Provisional Death Counts. Information presented on the COVID Data Tracker pages is based on the same source (total case counts) as the present dataset; however, NCHS Death Counts are based on death certificates that use information reported by physicians, medical examiners, or coroners in the cause-of-death section of each certificate. Data from each of these pages are considered provisional (not complete and pending verification) and are therefore subject to change. Counts from previous weeks are continually revised as more records are received and processed.

    Number of Jurisdictions Reporting There are currently 60 public health jurisdictions reporting cases of COVID-19. This includes the 50 states, the District of Columbia, New York City, the U.S. territories of American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, Puerto Rico, and the U.S Virgin Islands as well as three independent countries in compacts of free association with the United States, Federated States of Micronesia, Republic of the Marshall Islands, and Republic of Palau. New York State’s reported case and death counts do not include New York City’s counts as they separately report nationally notifiable conditions to CDC.

    CDC COVID-19 data are available to the public as summary or aggregate count files, including total counts of cases and deaths, available by state and by county. These and other data on COVID-19 are available from multiple public locations, such as:

    https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

    https://www.cdc.gov/covid-data-tracker/index.html

    https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

    https://www.cdc.gov/coronavirus/2019-ncov/php/open-america/surveillance-data-analytics.html

    Additional COVID-19 public use datasets, include line-level (patient-level) data, are available at: https://data.cdc.gov/browse?tags=covid-19.

    Archived Data Notes:

    November 3, 2022: Due to a reporting cadence issue, case rates for Missouri counties are calculated based on 11 days’ worth of case count data in the Weekly United States COVID-19 Cases and Deaths by State data released on November 3, 2022, instead of the customary 7 days’ worth of data.

    November 10, 2022: Due to a reporting cadence change, case rates for Alabama counties are calculated based on 13 days’ worth of case count data in the Weekly United States COVID-19 Cases and Deaths by State data released on November 10, 2022, instead of the customary 7 days’ worth of data.

    November 10, 2022: Per the request of the jurisdiction, cases and deaths among non-residents have been removed from all Hawaii county totals throughout the entire time series. Cumulative case and death counts reported by CDC will no longer match Hawaii’s COVID-19 Dashboard, which still includes non-resident cases and deaths. 

    November 17, 2022: Two new columns, weekly historic cases and weekly historic deaths, were added to this dataset on November 17, 2022. These columns reflect case and death counts that were reported that week but were historical in nature and not reflective of the current burden within the jurisdiction. These historical cases and deaths are not included in the new weekly case and new weekly death columns; however, they are reflected in the cumulative totals provided for each jurisdiction. These data are used to account for artificial increases in case and death totals due to batched reporting of historical data.

    December 1, 2022: Due to cadence changes over the Thanksgiving holiday, case rates for all Ohio counties are reported as 0 in the data released on December 1, 2022.

    January 5, 2023: Due to North Carolina’s holiday reporting cadence, aggregate case and death data will contain 14 days’ worth of data instead of the customary 7 days. As a result, case and death metrics will appear higher than expected in the January 5, 2023, weekly release.

    January 12, 2023: Due to data processing delays, Mississippi’s aggregate case and death data will be reported as 0. As a result, case and death metrics will appear lower than expected in the January 12, 2023, weekly release.

    January 19, 2023: Due to a reporting cadence issue, Mississippi’s aggregate case and death data will be calculated based on 14 days’ worth of data instead of the customary 7 days in the January 19, 2023, weekly release.

    January 26, 2023: Due to a reporting backlog of historic COVID-19 cases, case rates for two Michigan counties (Livingston and Washtenaw) were higher than expected in the January 19, 2023 weekly release.

    January 26, 2023: Due to a backlog of historic COVID-19 cases being reported this week, aggregate case and death counts in Charlotte County and Sarasota County, Florida, will appear higher than expected in the January 26, 2023 weekly release.

    January 26, 2023: Due to data processing delays, Mississippi’s aggregate case and death data will be reported as 0 in the weekly release posted on January 26, 2023.

    February 2, 2023: As of the data collection deadline, CDC observed an abnormally large increase in aggregate COVID-19 cases and deaths reported for Washington State. In response, totals for new cases and new deaths released on February 2, 2023, have been displayed as zero at the state level until the issue is addressed with state officials. CDC is working with state officials to address the issue.

    February 2, 2023: Due to a decrease reported in cumulative case counts by Wyoming, case rates will be reported as 0 in the February 2, 2023, weekly release. CDC is working with state officials to verify the data submitted.

    February 16, 2023: Due to data processing delays, Utah’s aggregate case and death data will be reported as 0 in the weekly release posted on February 16, 2023. As a result, case and death metrics will appear lower than expected and should be interpreted with caution.

    February 16, 2023: Due to a reporting cadence change, Maine’s

  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. COVID-19 Case Surveillance Restricted Access Detailed Data

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 2, 2021
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    Centers for Disease Control and Prevention (2021). COVID-19 Case Surveillance Restricted Access Detailed Data [Dataset]. https://catalog.data.gov/dataset/covid-19-case-surveillance-restricted-access-detailed-data-63ce4
    Explore at:
    Dataset updated
    May 2, 2021
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This case surveillance publicly available dataset has 32 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors. This dataset requires a registration process and a data use agreement. CDC has three COVID-19 case surveillance datasets: COVID-19 Case Surveillance Public Use Data with Geography: Public use, patient-level dataset with clinical data (including symptoms), demographics, and county and state of residence. (19 data elements) COVID-19 Case Surveillance Public Use Data: Public use, patient-level dataset with clinical and symptom data and demographics, with no geographic data. (12 data elements) COVID-19 Case Surveillance Restricted Access Data: Restricted access, patient-level dataset with clinical (including symptoms), demographics, and county and state of residence. Access requires a registration process and a data use agreement. (32 data elements) Requesting Access to the COVID-19 Case Surveillance Restricted Access Detailed Data Please review the following documents to determine your interest in accessing the COVID-19 Case Surveillance Restricted Access Detailed Data file: 1) CDC COVID-19 Case Surveillance Restricted Access Detailed Data: Summary, Guidance, Limitations Information, and Restricted Access Data Use Agreement Information 2) Data Dictionary for the COVID-19 Case Surveillance Restricted Access Detailed Data The next step is to complete the Registration Information and Data Use Restrictions Agreement (RIDURA). Once complete, CDC will review your agreement. After access is granted, Ask SRRG (eocevent394@cdc.gov) will email you information about how to access the data through GitHub. If you have questions about obtaining access, email eocevent394@cdc.gov. Overview The COVID-19 case surveillance database includes patient-level data reported by U.S. states and autonomous reporting entities, including New York City, the District of Columbia, as well as U.S. territories and affiliates. 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 are shared voluntarily with CDC. For more information, visit: <a href="https://wwwn.cdc.gov/nndss/conditions/coronavirus-disease-2019-c

  18. g

    DC COVID-19 Department of Youth Rehabilitation Services | gimi9.com

    • gimi9.com
    + more versions
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    DC COVID-19 Department of Youth Rehabilitation Services | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_dc-covid-19-department-of-youth-rehabilitation-services
    Explore at:
    License

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

    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. District of Columbia Department of Youth Rehabilitation Services, 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 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.

  19. 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.

  20. 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
    Explore at:
    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.

Share
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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

Explore at:
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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