23 datasets found
  1. d

    DC COVID-19 Cases by Ward

    • opendata.dc.gov
    • datasets.ai
    • +1more
    Updated Aug 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Cases by Ward [Dataset]. https://opendata.dc.gov/datasets/DCGIS::dc-covid-19-cases-by-ward?uiVersion=content-views
    Explore at:
    Dataset updated
    Aug 12, 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

    District of Columbia COVID-19 positive cases and total tests reported by Ward. 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 Total Positive Cases by Neighborhood

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Aug 13, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Total Positive Cases by Neighborhood [Dataset]. https://opendata.dc.gov/datasets/dc-covid-19-total-positive-cases-by-neighborhood
    Explore at:
    Dataset updated
    Aug 13, 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

    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.

  3. a

    DC COVID-19 Tested Overall

    • hub.arcgis.com
    • datasets.ai
    • +3more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Tested Overall [Dataset]. https://hub.arcgis.com/datasets/DCGIS::dc-covid-19-tested-overall/api
    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. 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.

  4. d

    DC COVID-19 Department of Corrections

    • datasets.ai
    • catalog.midasnetwork.us
    • +2more
    15, 21, 3, 8
    Updated Mar 2, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    District of Columbia (2022). DC COVID-19 Department of Corrections [Dataset]. https://datasets.ai/datasets/dc-covid-19-department-of-corrections
    Explore at:
    3, 15, 21, 8Available download formats
    Dataset updated
    Mar 2, 2022
    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.

  5. a

    DC COVID-19 Department of Disability Services

    • hub.arcgis.com
    • opendata.dc.gov
    • +3more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Department of Disability Services [Dataset]. https://hub.arcgis.com/datasets/DCGIS::dc-covid-19-department-of-disability-services
    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. 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.

  6. d

    DC COVID-19 Weekly Cases

    • opendata.dc.gov
    • catalog.data.gov
    Updated Apr 8, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2022). DC COVID-19 Weekly Cases [Dataset]. https://opendata.dc.gov/datasets/DCGIS::dc-covid-19-weekly-cases
    Explore at:
    Dataset updated
    Apr 8, 2022
    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

    This dataset provides ongoing reporting of confirmed (PCR) DC-resident COVID-19 positive cases. These data are dependent on accurate and timely reporting of COVID-19 positive cases by lab facilities. Data are presented by week of test collection; data show Sunday through Saturday of the same week. These data are subject to change on a weekly basis depending on lab facility reporting timelines and other factors. Data Sources: DC Health Notifiable Disease Surveillance System.

  7. d

    DC COVID-19 Metropolitan Police Department

    • opendata.dc.gov
    • datasets.ai
    • +2more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Metropolitan Police Department [Dataset]. https://opendata.dc.gov/datasets/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.

  8. a

    DC COVID-19 Child and Family Services Agency

    • hub.arcgis.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Child and Family Services Agency [Dataset]. https://hub.arcgis.com/datasets/DCGIS::dc-covid-19-child-and-family-services-agency
    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. 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 Fire Emergency Medical Services

    • hub.arcgis.com
    • opendata.dc.gov
    • +1more
    Updated Apr 27, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Fire Emergency Medical Services [Dataset]. https://hub.arcgis.com/datasets/61da0a93358b4f57993f8c237e920ef4
    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 Fire and Emergency Medical 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. d

    DC COVID-19 Hospital Beds and Ventilators

    • datasets.ai
    • opendata.dc.gov
    • +2more
    15, 21, 3, 8
    Updated Mar 2, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    District of Columbia (2022). DC COVID-19 Hospital Beds and Ventilators [Dataset]. https://datasets.ai/datasets/dc-covid-19-hospital-beds-and-ventilators
    Explore at:
    8, 21, 15, 3Available download formats
    Dataset updated
    Mar 2, 2022
    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. 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.

  11. d

    DC COVID-19 Department of Motor Vehicles

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2025). DC COVID-19 Department of Motor Vehicles [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-department-of-motor-vehicles
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    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. U

    United States COVID-19: No. of States incl Washington DC w/ Confirmed Cases

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States COVID-19: No. of States incl Washington DC w/ Confirmed Cases [Dataset]. https://www.ceicdata.com/en/united-states/center-for-disease-control-and-prevention-coronavirus-disease-2019-covid2019/covid19-no-of-states-incl-washington-dc-w-confirmed-cases
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 30, 2023 - May 11, 2023
    Area covered
    United States
    Description

    United States COVID-19: No. of States incl Washington DC w/ Confirmed Cases data was reported at 51.000 Unit in 16 May 2023. This stayed constant from the previous number of 51.000 Unit for 15 May 2023. United States COVID-19: No. of States incl Washington DC w/ Confirmed Cases data is updated daily, averaging 51.000 Unit from Jan 2020 (Median) to 16 May 2023, with 1228 observations. The data reached an all-time high of 51.000 Unit in 16 May 2023 and a record low of 1.000 Unit in 21 Jan 2020. United States COVID-19: No. of States incl Washington DC w/ Confirmed Cases data remains active status in CEIC and is reported by CEIC Data. The data is categorized under High Frequency Database’s Disease Outbreaks – Table US.D001: Center for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019).

  13. d

    DC COVID-19 Office of Unified Communications

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Office of Unified Communications [Dataset]. https://opendata.dc.gov/datasets/328c5c920b6a4bdbbe7d3f4d7f9c1132
    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 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.

  14. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
    Explore at:
    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.

  15. d

    DC COVID-19 District of Columbia Public Schools

    • opendata.dc.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    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.

  16. a

    DC COVID-19 Saint Elizabeths Hospital

    • hub.arcgis.com
    • opendata.dc.gov
    • +1more
    Updated Apr 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Saint Elizabeths Hospital [Dataset]. https://hub.arcgis.com/datasets/4517301ff93e4f269990c264acbfd423
    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.

  17. H

    Tracking COVID-19 data reporting & analysis in the United States

    • dataverse.harvard.edu
    Updated Jan 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Charlotte Brasseux; Thoai D. Ngo; Mingqi Song; Saleh Abbas (2021). Tracking COVID-19 data reporting & analysis in the United States [Dataset]. http://doi.org/10.7910/DVN/SAHDY3
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 26, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Charlotte Brasseux; Thoai D. Ngo; Mingqi Song; Saleh Abbas
    License

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

    Area covered
    United States
    Description

    The United States remains the epicenter for the COVID-19 pandemic. Having accurate data reporting and analysis at the local, state, and national levels would help steer containment efforts, build a more targeted response strategy, and foster learnings across cities and states as new hotspots arise. Throughout the course of the pandemic, Population Council researchers have been tracking how COVID-19 data are reported and analyzed using a comprehensive analysis of 62 COVID-19 data sources from the Centers for Disease Control and Prevention (CDC) and health departments across 50 states, Washington D.C., and ten major cities. We assessed data completeness for COVID-19 testing and four outcomes (cases, hospitalizations, recoveries, and deaths), and examined disaggregation of COVID-19 testing and outcomes by a core set of demographic indicators, including age, race/ethnicity, sex/gender, geography, and underlying health conditions. This analysis also investigated how social and community level data were reported and analyzed, variations in data reporting, and changes over the course of the pandemic. Having this information can equip national and local health officials to deploy a more targeted response effort such as testing, contact tracing, treatment, and containment strategy.

  18. t

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

    • thearda.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Explore at:
    Dataset provided by
    The 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.

  19. d

    DC COVID-19 Department of Youth Rehabilitation Services

    • opendata.dc.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated May 18, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2020). DC COVID-19 Department of Youth Rehabilitation Services [Dataset]. https://opendata.dc.gov/datasets/c5d6d2fb6f9a488aba9b0e789d62586c
    Explore at:
    Dataset updated
    May 18, 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 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.

  20. f

    Aim 2 MEPS study outcomes.

    • plos.figshare.com
    xls
    Updated Nov 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lucinda B. Leung; Jasmeen J. Santos; José J. Escarce; Susan L. Ettner; Claudia Der-Martirosian; Pushpa Raja; Alexander D. McCourt; John Fortney; Emma E. McGinty (2024). Aim 2 MEPS study outcomes. [Dataset]. http://doi.org/10.1371/journal.pone.0312665.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 21, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Lucinda B. Leung; Jasmeen J. Santos; José J. Escarce; Susan L. Ettner; Claudia Der-Martirosian; Pushpa Raja; Alexander D. McCourt; John Fortney; Emma E. McGinty
    License

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

    Description

    BackgroundUntil the COVID-19 pandemic, it had not been possible to examine the effect of rapid policy changes surrounding telemental health on patient-reported mental health care access, costs, symptoms, and functioning. Sizable variation in telemental health use by patient race-ethnicity, age, and rurality, and in its adoption across healthcare settings, underscores the need to study equitable dissemination and implementation of high-quality telemental health services in the real world. This protocol describes an explanatory sequential mixed-methods study that aims to examine the effects of state telemental health policy expansion on patient-reported mental health outcomes, as well as the policy-to-practice pathway from the perspectives of state leaders, clinicians, and staff who care for underserved patients.MethodsThis study uses legal mapping research methods to characterize the effective dates and specific provisions of telemental health policies (e.g., Medicaid reimbursement, private payer laws, professional licensure requirements) before and during the COVID-19 pandemic in all 50 U.S. states and Washington, D.C. Then, we will examine state factors (e.g., COVID-19 cases, broadband internet access) explaining these telemental health policies using discrete-time hazard models. The primary quantitative analysis employs a difference-in-difference approach to predict effects on outcome measures using a nationally representative survey of individuals. Using the Medical Expenditure Panel Survey, we will examine policy effects on (a) access to, use of, and expenditures related to mental health care and (b) mental health outcomes, functioning, and employment. Finally, qualitative methods will be used to obtain feedback from state leaders, administrators, clinicians, and clinic staff members on how state telemental health policy expansion influenced mental health services delivery during the pandemic, with a focus on improving safety-net care. We will use a positive deviance approach to select key partners from 6 “high” and 6 “low” telehealth expansion states for interviews and focus groups.DiscussionThe overall study goal is to better understand the effect of pandemic-related state policy changes around telehealth on patient-reported mental health care access, costs, symptoms, and functioning. By characterizing variations in telehealth policies and their downstream effects, this mixed-methods study aims to inform equitable dissemination, implementation, and sustainment of high-quality telemental health services.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Washington, DC (2020). DC COVID-19 Cases by Ward [Dataset]. https://opendata.dc.gov/datasets/DCGIS::dc-covid-19-cases-by-ward?uiVersion=content-views

DC COVID-19 Cases by Ward

Explore at:
Dataset updated
Aug 12, 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

District of Columbia COVID-19 positive cases and total tests reported by Ward. 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.

Search
Clear search
Close search
Google apps
Main menu