25 datasets found
  1. COVID-19 State Profile Report - Wisconsin

    • data.virginia.gov
    • healthdata.gov
    • +4more
    pdf
    Updated Jul 3, 2025
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    U.S. Department of Health and Human Services (2025). COVID-19 State Profile Report - Wisconsin [Dataset]. https://data.virginia.gov/dataset/covid-19-state-profile-report-wisconsin
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    pdfAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.

    The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.

    It is a weekly snapshot in time that:

    • Focuses on recent outcomes in the last seven days and changes relative to the month prior
    • Provides additional contextual information at the county level for each state, and includes national level information
    • Supports rapid visual interpretation of results with color thresholds

  2. y

    Wisconsin Coronavirus Cases Currently Hospitalized

    • ycharts.com
    html
    Updated May 6, 2024
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    US Department of Health & Human Services (2024). Wisconsin Coronavirus Cases Currently Hospitalized [Dataset]. https://ycharts.com/indicators/wisconsin_coronavirus_cases_currently_hospitalized
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    htmlAvailable download formats
    Dataset updated
    May 6, 2024
    Dataset provided by
    YCharts
    Authors
    US Department of Health & Human Services
    License

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

    Time period covered
    Jul 15, 2020 - Apr 27, 2024
    Area covered
    Wisconsin
    Variables measured
    Wisconsin Coronavirus Cases Currently Hospitalized
    Description

    View daily updates and historical trends for Wisconsin Coronavirus Cases Currently Hospitalized. Source: US Department of Health & Human Services. Track e…

  3. COVID-19 Data by County

    • data.dhsgis.wi.gov
    Updated Apr 24, 2020
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    Wisconsin Department of Health Services (2020). COVID-19 Data by County [Dataset]. https://data.dhsgis.wi.gov/datasets/9d0cb9329d5745cfbf6ce91fa9835c6e
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    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Wisconsin Department of Health Serviceshttp://dhs.wisconsin.gov/
    License

    https://data.dhsgis.wi.gov/pages/gis-data-disclaimerhttps://data.dhsgis.wi.gov/pages/gis-data-disclaimer

    Area covered
    Description

    This data set contains Wisconsin COVID-19 data by county boundary. Data is updated at 2:00PM CDT daily.Detailed data descriptions can be found within the COVID-19 Public Use Data Definitions document.All data are laboratory-confirmed cases of COVID-19 that we freeze once a day to verify and ensure that we are reporting accurate information. These numbers are the official state numbers, though counties may report their own totals independent of DHS. Combining the DHS and local totals may result in inaccurate totals.Data included in these tables are subject to change. As individual cases are investigated by public health, there may be corrections to the status and details of cases that result in changes to this information.Deaths must be reported by health care providers, medical examiners/coroners, and recorded by local health departments in order to be counted.Starting on March 30, 2020, the number of people with negative test results was changed to include only Wisconsin residents. The number of people with negative test results includes only Wisconsin residents who had their results reported electronically to DHS. As a result, this number underestimates the total number of Wisconsin residents with negative test results.For more information on the COVID-19 outbreak please visit https://www.dhs.wisconsin.gov/outbreaks/index.htm.

  4. n

    Coronavirus (Covid-19) Data in the United States

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

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

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

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

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

  5. COVID-19 State Profile Report - Wisconsin - hp7n-grw3 - Archive Repository

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 3, 2025
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    (2025). COVID-19 State Profile Report - Wisconsin - hp7n-grw3 - Archive Repository [Dataset]. https://healthdata.gov/w/twyb-zed3/default?cur=ifPXZ6Rlf_T&from=G2c2RD9sS6y
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jul 3, 2025
    Area covered
    Wisconsin
    Description

    This dataset tracks the updates made on the dataset "COVID-19 State Profile Report - Wisconsin" as a repository for previous versions of the data and metadata.

  6. M

    COVID-19 Historical Data by State - Wisconsin

    • catalog.midasnetwork.us
    Updated Mar 30, 2022
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    Wisconsin Department of Health Services (2022). COVID-19 Historical Data by State - Wisconsin [Dataset]. https://catalog.midasnetwork.us/collection/222
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    Dataset updated
    Mar 30, 2022
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Wisconsin Department of Health Services
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    State, Wisconsin
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, age-stratified, mortality data, phenotypic sex, Population count, and 10 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This data set contains Wisconsin COVID-19 cases, deaths, hospitalizations and tests data with demographic information by state boundary from earliest reporting date. Deaths must be reported by health care providers, medical examiners/coroners, and recorded by local health departments in order to be counted. These numbers are the official state numbers, though counties may report their own totals independent of the state's department of health. The data are updated daily.

  7. y

    Wisconsin Coronavirus Full Vaccination Rate

    • ycharts.com
    html
    Updated May 15, 2023
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    Our World in Data (2023). Wisconsin Coronavirus Full Vaccination Rate [Dataset]. https://ycharts.com/indicators/wisconsin_coronavirus_full_vaccination_rate
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    htmlAvailable download formats
    Dataset updated
    May 15, 2023
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

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

    Time period covered
    Jan 12, 2021 - May 10, 2023
    Area covered
    Wisconsin
    Variables measured
    Wisconsin Coronavirus Full Vaccination Rate
    Description

    View daily updates and historical trends for Wisconsin Coronavirus Full Vaccination Rate. Source: Our World in Data. Track economic data with YCharts anal…

  8. y

    Wisconsin Total Coronavirus Vaccinations Administered

    • ycharts.com
    html
    Updated May 15, 2023
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    Our World in Data (2023). Wisconsin Total Coronavirus Vaccinations Administered [Dataset]. https://ycharts.com/indicators/wisconsin_total_coronavirus_vaccinations_administered
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 15, 2023
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

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

    Time period covered
    Jan 12, 2021 - May 10, 2023
    Area covered
    Wisconsin
    Variables measured
    Wisconsin Total Coronavirus Vaccinations Administered
    Description

    View daily updates and historical trends for Wisconsin Total Coronavirus Vaccinations Administered. Source: Our World in Data. Track economic data with YC…

  9. M

    Wisconsin COVID-19 Data by County

    • catalog.midasnetwork.us
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    Wisconsin Department of Health Services, Wisconsin COVID-19 Data by County [Dataset]. https://catalog.midasnetwork.us/collection/219
    Explore at:
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Wisconsin Department of Health Services
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    County, Wisconsin
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, age-stratified, mortality data, phenotypic sex, Population count, and 10 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This data set contains Wisconsin COVID-19 case, death, hospitalization, test data and population information by county boundary. All data are laboratory-confirmed cases of COVID-19 that are frozen once a day to verify and ensure that we are reporting accurate information. These numbers are the official state numbers, though counties may report their own totals independent of Department of Health Services (combining the DHS and local totals may result in inaccurate totals). Deaths are reported by health care providers, medical examiners/coroners, and recorded by local health departments in order to be counted by the state DHS. Detailed data descriptions can be found within the COVID-19 Public Use Data Definitions document: https://www.dhs.wisconsin.gov/publications/p02677.pdf.

  10. U

    United States SBP: Wisconsin (WI): COVID-19 Impact: Large Negative Effect

    • ceicdata.com
    Updated Apr 18, 2022
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    CEICdata.com (2022). United States SBP: Wisconsin (WI): COVID-19 Impact: Large Negative Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sbp-wisconsin-wi-covid19-impact-large-negative-effect
    Explore at:
    Dataset updated
    Apr 18, 2022
    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
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SBP: Wisconsin (WI): COVID-19 Impact: Large Negative Effect data was reported at 16.800 % in 11 Apr 2022. This records an increase from the previous number of 16.600 % for 04 Apr 2022. United States SBP: Wisconsin (WI): COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 17.200 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 24.700 % in 06 Dec 2021 and a record low of 16.000 % in 27 Dec 2021. United States SBP: Wisconsin (WI): COVID-19 Impact: Large Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

  11. U

    United States Excess Deaths excl COVID: Predicted: Above Expected: Wisconsin...

    • ceicdata.com
    Updated Mar 15, 2021
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    CEICdata.com (2021). United States Excess Deaths excl COVID: Predicted: Above Expected: Wisconsin [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-deaths-excl-covid-predicted-above-expected-wisconsin
    Explore at:
    Dataset updated
    Mar 15, 2021
    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
    Aug 14, 2021 - Oct 30, 2021
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths excl COVID: Predicted: Above Expected: Wisconsin data was reported at 0.000 Number in 30 Oct 2021. This stayed constant from the previous number of 0.000 Number for 23 Oct 2021. United States Excess Deaths excl COVID: Predicted: Above Expected: Wisconsin data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 30 Oct 2021, with 251 observations. The data reached an all-time high of 127.000 Number in 06 Jan 2018 and a record low of 0.000 Number in 30 Oct 2021. United States Excess Deaths excl COVID: Predicted: Above Expected: Wisconsin data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

  12. COVID Breakthrough Infections

    • kaggle.com
    zip
    Updated Aug 21, 2021
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    Marília Prata (2021). COVID Breakthrough Infections [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadsvaccincsv
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    zip(333 bytes)Available download formats
    Dataset updated
    Aug 21, 2021
    Authors
    Marília Prata
    Description

    Context

    .COVID-19: Illness After Vaccination

    "The COVID-19 vaccines are extremely effective at preventing serious illness, hospitalization, and death. Fully vaccinated people who test positive for COVID-19 more than 2 weeks after their completed vaccine dose series are called "breakthrough infections." No vaccine is 100 percent effective, and as such we expect to see some fully vaccinated people test positive for COVID-19. Breakthrough cases typically report mild illness or no symptoms."

    https://www.dhs.wisconsin.gov/covid-19/vaccine-status.htm#summary

    Content

    "Your likelihood of being infected with the virus that causes COVID-19 is determined by many factors, which include vaccinations, but also include the level of transmission and vaccine coverage in your community, whether you or others wear masks as recommended, the number of people you have close contact with, and more. On average, fully vaccinated individuals are less likely to be infected, hospitalized, and die from COVID-19 compared to unvaccinated individuals."

    https://www.dhs.wisconsin.gov/covid-19/vaccine-status.htm#summary

    Acknowledgements

    https://www.dhs.wisconsin.gov/covid-19/vaccine-status.htm#summary

    Photo by Joshua Hoehne on Unsplash

    Inspiration

    COVID-19: Illness After Vaccination

  13. f

    Table 1_Public health emergency accelerated research response—the Clinical...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated May 9, 2025
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    Shaker, Reza; Ioachimescu, Octavian C.; Anello, Michael P.; Gode, Amit; Friedland, David R.; Garrison, Orsolya M.; Ward, Doriel D. (2025). Table 1_Public health emergency accelerated research response—the Clinical and Translational Science Institute of Southeast Wisconsin COVID-19 research initiative.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002072688
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    Dataset updated
    May 9, 2025
    Authors
    Shaker, Reza; Ioachimescu, Octavian C.; Anello, Michael P.; Gode, Amit; Friedland, David R.; Garrison, Orsolya M.; Ward, Doriel D.
    Description

    IntroductionIn March 2020, the National Center for Advancing Translational Sciences—Clinical and Translational Science Awards (CTSA) Program issued an urgent “Call to Action,” requesting CTSA hubs to accelerate clinical and translational research (C&TR) in response to the COVID-19 public health emergency. The Clinical and Translational Science Institute of Southeast Wisconsin (CTSI) quickly responded by launching a regional research initiative among its eight academic and healthcare partner institutions to nucleate teams around COVID-19 C&TR.MethodsA comprehensive search of COVID-19 funding opportunities, combined with suggestions from CTSI leadership and C&TR investigators, produced a list of 31 distinct C&TR questions that were used to nucleate investigators into teams. A survey was shared with the faculty of all eight partner institutions to solicit interest in joining the teams. Multidisciplinary team formation was based on a novel CTSI model, called the “Team Science-Guided Integrated Clinical and Research Ensemble (Ensemble).” In this model, teams are formed around an unmet patient medical need, based on the intentional recruitment of members from three domains: (1) the clinical and translational research enterprise, (2) the health care systems, and (3) the community of stakeholders. The teams were provided no funding, but received substantial CTSI research and administrative support.ResultsForty-one teams were formed, and 243 investigators participated during the first year of the initiative. Team efforts resulted in the submission of 21 grant proposals, totaling $32,528,297. Three grant proposals were funded, totaling $609,888. The research initiative generated eight publications and had a significant impact on patient health, involving a combined total of 456 research participants. The initiative led to several systemic improvements, by (1) exposing investigators to team science-guided C&TR (Ensembles), (2) increasing inter-institutional and inter-departmental collaborations, (3) creating new partnerships with community organizations, and (4) providing qualitative data on lessons learned.ConclusionThe COVID-19 regional research initiative provided a compelling model of how basic science, clinical/translational, and community researchers can be mobilized for accelerated C&TR to address a public health threat. The initiative demonstrated that the fundamentals of the novel CTSI Ensemble team concept can be leveraged to expedite the formation of highly efficient teams.

  14. U

    United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths:...

    • ceicdata.com
    Updated Mar 9, 2021
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    CEICdata.com (2021). United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Wisconsin [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-deaths-excl-covid-predicted-avg-no-of-deaths-wisconsin
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    Dataset updated
    Mar 9, 2021
    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
    Nov 6, 2021 - Jan 22, 2022
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Wisconsin data was reported at 1,158.000 Number in 22 Jan 2022. This records an increase from the previous number of 1,151.000 Number for 15 Jan 2022. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Wisconsin data is updated weekly, averaging 1,043.500 Number from Jan 2017 to 22 Jan 2022, with 264 observations. The data reached an all-time high of 1,158.000 Number in 22 Jan 2022 and a record low of 936.000 Number in 21 Jul 2018. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Wisconsin data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G014: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted.

  15. M

    COVID-19 Data by Census Tract - Wisconsin

    • catalog.midasnetwork.us
    Updated Mar 30, 2020
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    Wisconsin Department of Health Services (2020). COVID-19 Data by Census Tract - Wisconsin [Dataset]. https://catalog.midasnetwork.us/collection/221
    Explore at:
    Dataset updated
    Mar 30, 2020
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Wisconsin Department of Health Services
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Census tract, Wisconsin
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, age-stratified, mortality data, phenotypic sex, Population count, and 10 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    The dataset contains Wisconsin COVID-19 cases, deaths, hospitalization and test data by census tract boundary. Deaths are reported by health care providers, medical examiners/coroners, and recorded by local health departments in order to be counted by the state DHS. All data are laboratory-confirmed cases of COVID-19 that are frozen once a day to verify and ensure that we are reporting accurate information.

  16. M

    Wisconsin COVID-19 Statewide Cases (State Boundary)

    • catalog.midasnetwork.us
    Updated Dec 7, 2020
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    Wisconsin Department of Health Services (2020). Wisconsin COVID-19 Statewide Cases (State Boundary) [Dataset]. https://catalog.midasnetwork.us/collection/220
    Explore at:
    Dataset updated
    Dec 7, 2020
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Wisconsin Department of Health Services
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    State, Wisconsin
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, and 2 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    The dataset represents the number of COVID-19 cases statewide in Wisconsin.

  17. U

    United States SB: WI: COVID-19 Impact: Moderate Positive Effect

    • ceicdata.com
    Updated Apr 18, 2022
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    CEICdata.com (2022). United States SB: WI: COVID-19 Impact: Moderate Positive Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-wi-covid19-impact-moderate-positive-effect
    Explore at:
    Dataset updated
    Apr 18, 2022
    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
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: WI: COVID-19 Impact: Moderate Positive Effect data was reported at 7.700 % in 11 Apr 2022. This records an increase from the previous number of 5.700 % for 04 Apr 2022. United States SB: WI: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 8.800 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 13.500 % in 22 Nov 2021 and a record low of 5.700 % in 04 Apr 2022. United States SB: WI: COVID-19 Impact: Moderate Positive Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

  18. U

    United States SB: WI: COVID-19 Impact: Moderate Negative Effect

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States SB: WI: COVID-19 Impact: Moderate Negative Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-wi-covid19-impact-moderate-negative-effect
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: WI: COVID-19 Impact: Moderate Negative Effect data was reported at 44.800 % in 11 Apr 2022. This records a decrease from the previous number of 51.900 % for 04 Apr 2022. United States SB: WI: COVID-19 Impact: Moderate Negative Effect data is updated weekly, averaging 45.650 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 51.900 % in 04 Apr 2022 and a record low of 41.200 % in 29 Nov 2021. United States SB: WI: COVID-19 Impact: Moderate Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

  19. Mortality rates for hospitalized COVID–19 patients during the first three...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Michael C. Fiore; Stevens S. Smith; Robert T. Adsit; Daniel M. Bolt; Karen L. Conner; Steven L. Bernstein; Oliver D. Eng; David Lazuk; Alec Gonzalez; Douglas E. Jorenby; Heather D’Angelo; Julie A. Kirsch; Brian Williams; Margaret B. Nolan; Todd Hayes-Birchler; Sean Kent; Hanna Kim; Thomas M. Piasecki; Wendy S. Slutske; Stan Lubanski; Menggang Yu; Youmi Suk; Yuxin Cai; Nitu Kashyap; Jomol P. Mathew; Gabriel McMahan; Betsy Rolland; Hilary A. Tindle; Graham W. Warren; Lawrence C. An; Andrew D. Boyd; Darlene H. Brunzell; Victor Carrillo; Li-Shiun Chen; James M. Davis; Deepika Dilip; Edward F. Ellerbeck; Eduardo Iturrate; Thulasee Jose; Niharika Khanna; Andrea King; Elizabeth Klass; Michael Newman; Kimberly A. Shoenbill; Elisa Tong; Janice Y. Tsoh; Karen M. Wilson; Wendy E. Theobald; Timothy B. Baker (2023). Mortality rates for hospitalized COVID–19 patients during the first three and final three months of data collection. [Dataset]. http://doi.org/10.1371/journal.pone.0274571.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michael C. Fiore; Stevens S. Smith; Robert T. Adsit; Daniel M. Bolt; Karen L. Conner; Steven L. Bernstein; Oliver D. Eng; David Lazuk; Alec Gonzalez; Douglas E. Jorenby; Heather D’Angelo; Julie A. Kirsch; Brian Williams; Margaret B. Nolan; Todd Hayes-Birchler; Sean Kent; Hanna Kim; Thomas M. Piasecki; Wendy S. Slutske; Stan Lubanski; Menggang Yu; Youmi Suk; Yuxin Cai; Nitu Kashyap; Jomol P. Mathew; Gabriel McMahan; Betsy Rolland; Hilary A. Tindle; Graham W. Warren; Lawrence C. An; Andrew D. Boyd; Darlene H. Brunzell; Victor Carrillo; Li-Shiun Chen; James M. Davis; Deepika Dilip; Edward F. Ellerbeck; Eduardo Iturrate; Thulasee Jose; Niharika Khanna; Andrea King; Elizabeth Klass; Michael Newman; Kimberly A. Shoenbill; Elisa Tong; Janice Y. Tsoh; Karen M. Wilson; Wendy E. Theobald; Timothy B. Baker
    License

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

    Description

    Mortality rates for hospitalized COVID–19 patients during the first three and final three months of data collection.

  20. Descriptive statistics for 104,590 hospitalized COVID–19 patients from...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 16, 2023
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    Michael C. Fiore; Stevens S. Smith; Robert T. Adsit; Daniel M. Bolt; Karen L. Conner; Steven L. Bernstein; Oliver D. Eng; David Lazuk; Alec Gonzalez; Douglas E. Jorenby; Heather D’Angelo; Julie A. Kirsch; Brian Williams; Margaret B. Nolan; Todd Hayes-Birchler; Sean Kent; Hanna Kim; Thomas M. Piasecki; Wendy S. Slutske; Stan Lubanski; Menggang Yu; Youmi Suk; Yuxin Cai; Nitu Kashyap; Jomol P. Mathew; Gabriel McMahan; Betsy Rolland; Hilary A. Tindle; Graham W. Warren; Lawrence C. An; Andrew D. Boyd; Darlene H. Brunzell; Victor Carrillo; Li-Shiun Chen; James M. Davis; Deepika Dilip; Edward F. Ellerbeck; Eduardo Iturrate; Thulasee Jose; Niharika Khanna; Andrea King; Elizabeth Klass; Michael Newman; Kimberly A. Shoenbill; Elisa Tong; Janice Y. Tsoh; Karen M. Wilson; Wendy E. Theobald; Timothy B. Baker (2023). Descriptive statistics for 104,590 hospitalized COVID–19 patients from February 2020 to September 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0274571.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michael C. Fiore; Stevens S. Smith; Robert T. Adsit; Daniel M. Bolt; Karen L. Conner; Steven L. Bernstein; Oliver D. Eng; David Lazuk; Alec Gonzalez; Douglas E. Jorenby; Heather D’Angelo; Julie A. Kirsch; Brian Williams; Margaret B. Nolan; Todd Hayes-Birchler; Sean Kent; Hanna Kim; Thomas M. Piasecki; Wendy S. Slutske; Stan Lubanski; Menggang Yu; Youmi Suk; Yuxin Cai; Nitu Kashyap; Jomol P. Mathew; Gabriel McMahan; Betsy Rolland; Hilary A. Tindle; Graham W. Warren; Lawrence C. An; Andrew D. Boyd; Darlene H. Brunzell; Victor Carrillo; Li-Shiun Chen; James M. Davis; Deepika Dilip; Edward F. Ellerbeck; Eduardo Iturrate; Thulasee Jose; Niharika Khanna; Andrea King; Elizabeth Klass; Michael Newman; Kimberly A. Shoenbill; Elisa Tong; Janice Y. Tsoh; Karen M. Wilson; Wendy E. Theobald; Timothy B. Baker
    License

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

    Description

    Descriptive statistics for 104,590 hospitalized COVID–19 patients from February 2020 to September 2021.

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U.S. Department of Health and Human Services (2025). COVID-19 State Profile Report - Wisconsin [Dataset]. https://data.virginia.gov/dataset/covid-19-state-profile-report-wisconsin
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COVID-19 State Profile Report - Wisconsin

Explore at:
pdfAvailable download formats
Dataset updated
Jul 3, 2025
Dataset provided by
United States Department of Health and Human Serviceshttp://www.hhs.gov/
Description

After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.

The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.

It is a weekly snapshot in time that:

  • Focuses on recent outcomes in the last seven days and changes relative to the month prior
  • Provides additional contextual information at the county level for each state, and includes national level information
  • Supports rapid visual interpretation of results with color thresholds

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