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

    • data.virginia.gov
    • datahub.hhs.gov
    • +2more
    pdf
    Updated Jul 3, 2025
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    U.S. Department of Health and Human Services (2025). COVID-19 State Profile Report - Minnesota [Dataset]. https://data.virginia.gov/dataset/covid-19-state-profile-report-minnesota
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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/
    Area covered
    Minnesota
    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. O

    CDC COVID-19 Community Levels by County

    • opendata.ramseycountymn.gov
    csv, xlsx, xml
    Updated Dec 2, 2025
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    Center for Disease Control and Prevention (2025). CDC COVID-19 Community Levels by County [Dataset]. https://opendata.ramseycountymn.gov/Public-Health/CDC-COVID-19-Community-Levels-by-County/uazb-iwdp
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Center for Disease Control and Prevention
    License

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

    Description

    This public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties. This dataset contains the same values used to display information available on the COVID Data Tracker at: https://covid.cdc.gov/covid-data-tracker/#county-view?list_select_state=all_states&list_select_county=all_counties&data-type=CommunityLevels The data are updated weekly.

    CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge. Using these data, the COVID-19 community level is classified as low, medium, or high. COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

    See https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels.html for more information.

    For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

    For more details on the Minnesota Department of Health COVID-19 thresholds, see COVID-19 Public Health Risk Measures: Data Notes (Updated 4/13/22). https://mn.gov/covid19/assets/phri_tcm1148-434773.pdf

    Note: This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022. March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released. March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate. March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset. March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases. March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average). March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior. April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

  3. f

    Preferences for potential COVID-19 education/intervention topics and...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jun 23, 2023
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    Wheeler, Phil; Newman, Hana R.; Wi, Chung-Il; Brewer, LaPrincess; Juhn, Young J.; Gorfine, Mary; Fox, Jean M.; Steffens, Michelle T.; Sinicrope, Pamela S.; Maciejko, Laura A.; Decker, Paul A.; Patten, Christi A. (2023). Preferences for potential COVID-19 education/intervention topics and delivery by rural vs. urban status in southeastern, Minnesota, N (%). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001111756
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    Dataset updated
    Jun 23, 2023
    Authors
    Wheeler, Phil; Newman, Hana R.; Wi, Chung-Il; Brewer, LaPrincess; Juhn, Young J.; Gorfine, Mary; Fox, Jean M.; Steffens, Michelle T.; Sinicrope, Pamela S.; Maciejko, Laura A.; Decker, Paul A.; Patten, Christi A.
    Area covered
    Minnesota
    Description

    Preferences for potential COVID-19 education/intervention topics and delivery by rural vs. urban status in southeastern, Minnesota, N (%).

  4. COVID-19 State Profile Report - Minnesota - i4ap-ptia - Archive Repository

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 3, 2025
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    (2025). COVID-19 State Profile Report - Minnesota - i4ap-ptia - Archive Repository [Dataset]. https://healthdata.gov/widgets/vawv-q24n?mobile_redirect=true
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Jul 3, 2025
    Area covered
    Minnesota
    Description

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

  5. U

    United States Excess Death excl COVID: Predicted: Single Excess Est:...

    • ceicdata.com
    Updated Sep 16, 2023
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    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Excess Est: Minnesota [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-death-excl-covid-predicted-single-excess-est-minnesota
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    Dataset updated
    Sep 16, 2023
    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
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Death excl COVID: Predicted: Single Excess Est: Minnesota data was reported at 0.000 Number in 16 Sep 2023. This stayed constant from the previous number of 0.000 Number for 09 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Minnesota data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 131.000 Number in 13 Jan 2018 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Minnesota 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).

  6. f

    Social cognitive and behavioral factors related to COVID-19 prevention by...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated Jun 23, 2023
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    Patten, Christi A.; Fox, Jean M.; Maciejko, Laura A.; Decker, Paul A.; Gorfine, Mary; Juhn, Young J.; Newman, Hana R.; Sinicrope, Pamela S.; Wi, Chung-Il; Steffens, Michelle T.; Brewer, LaPrincess; Wheeler, Phil (2023). Social cognitive and behavioral factors related to COVID-19 prevention by rural vs. urban status in southeastern, Minnesota, N (%). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001111748
    Explore at:
    Dataset updated
    Jun 23, 2023
    Authors
    Patten, Christi A.; Fox, Jean M.; Maciejko, Laura A.; Decker, Paul A.; Gorfine, Mary; Juhn, Young J.; Newman, Hana R.; Sinicrope, Pamela S.; Wi, Chung-Il; Steffens, Michelle T.; Brewer, LaPrincess; Wheeler, Phil
    Area covered
    Minnesota
    Description

    Social cognitive and behavioral factors related to COVID-19 prevention by rural vs. urban status in southeastern, Minnesota, N (%).

  7. U

    United States Excess Deaths excl COVID: Predicted: Upper Bound: Minnesota

    • ceicdata.com
    Updated Nov 22, 2021
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    CEICdata.com (2021). United States Excess Deaths excl COVID: Predicted: Upper Bound: Minnesota [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-deaths-excl-covid-predicted-upper-bound-minnesota
    Explore at:
    Dataset updated
    Nov 22, 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
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths excl COVID: Predicted: Upper Bound: Minnesota data was reported at 1,003.000 Number in 16 Sep 2023. This records an increase from the previous number of 997.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Upper Bound: Minnesota data is updated weekly, averaging 951.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 1,051.000 Number in 21 Jan 2023 and a record low of 848.000 Number in 15 Jul 2017. United States Excess Deaths excl COVID: Predicted: Upper Bound: Minnesota 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).

  8. COVID-19 death rates in the United States as of March 10, 2023, by state

    • statista.com
    Updated May 15, 2024
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    Statista (2024). COVID-19 death rates in the United States as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1109011/coronavirus-covid19-death-rates-us-by-state/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.

  9. U

    United States SB: MN: CH: NF: Availability of COVID-19 Tests for Employees

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States SB: MN: CH: NF: Availability of COVID-19 Tests for Employees [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-mn-ch-nf-availability-of-covid19-tests-for-employees
    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
    Feb 14, 2022
    Area covered
    United States
    Description

    United States SB: MN: NF: Availability of COVID-19 Tests for Employees data was reported at 3.800 % in 14 Feb 2022. United States SB: MN: NF: Availability of COVID-19 Tests for Employees data is updated weekly, averaging 3.800 % from Feb 2022 (Median) to 14 Feb 2022, with 1 observations. The data reached an all-time high of 3.800 % in 14 Feb 2022 and a record low of 3.800 % in 14 Feb 2022. United States SB: MN: NF: Availability of COVID-19 Tests for Employees 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).

  10. Provisional COVID-19 death counts, rates, and percent of total deaths, by...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Sep 26, 2025
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    Centers for Disease Control and Prevention (2025). Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence [Dataset]. https://catalog.data.gov/dataset/provisional-covid-19-death-counts-rates-and-percent-of-total-deaths-by-jurisdiction-of-res
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

  11. Weekly United States Hospitalization Metrics by Jurisdiction, During...

    • data.cdc.gov
    • odgavaprod.ogopendata.com
    • +1more
    csv, xlsx, xml
    Updated Nov 1, 2024
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    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2024). Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/ype6-idgy
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Nov 1, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

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

    Area covered
    United States
    Description

    Note: After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 
    . This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/covid19/hospital-reporting.html

    Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).

    • Data source description(updated October 18, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.
    • Data quality: While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data since December 1, 2020, have had error correction methodology applied; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable.
    • Metrics and inclusion criteria: Many hospital subtypes, including acute care and critical access hospitals, are included in the metric calculations included in this dataset. Psychiatric, rehabilitation, and religious non-medical hospital types, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are excluded from calculations. For a given metric calculation, hospitals that reported those data at least one day during a given week are included.
    • Find full details on NHSN hospital data reporting guidance at https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

    Notes: May 10, 2024: Due to missing hospital data for the April 28, 2024 through May 4, 2024 reporting period, data for Commonwealth of the Northern Mariana Islands (CNMI) are not available for this period in the Weekly NHSN Hospitalization Metrics report released on May 10, 2024.

    May 17, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Minnesota (MN), and Guam (GU) for the May 5,2024 through May 11, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 1, 2024.

    May 24, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), and Minnesota (MN) for the May 12, 2024 through May 18, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 24, 2024.

    May 31, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), and Minnesota (MN) for the May 19, 2024 through May 25, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 31, 2024.

    June 7, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), Guam (GU), and Minnesota (MN) for the May 26, 2024 through June 1, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 7, 2024.

    June 14, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), and Minnesota (MN) for the June 2, 2024 through June 8, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 14, 2024.

    June 21, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Guam (GU), Virgin Islands (VI), and Minnesota (MN) for the June 9, 2024 through June 15, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 21, 2024.

    June 28, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 16, 2024 through June 22, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 28, 2024.

    July 5, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 23, 2024 through June 29, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 5, 2024.

    July 12, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 30, 2024 through July 6 , 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 12, 2024.

    July 19, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 7, 2024 through July 13, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 19, 2024.

    July 26, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 13, 2024 through July 20, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 26, 2024.

    August 2, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), West Virginia (WV), and Minnesota (MN) for the July 21, 2024 through July 27, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 2, 2024.

    August 9, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Guam (GU), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 28, 2024 through August 3, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 9, 2024.

    August 16, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 4, 2024 through August 10, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 16, 2024.

    August 23, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 11, 2024 through August 17, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics

  12. f

    S1 File -

    • plos.figshare.com
    txt
    Updated Jun 15, 2023
    + more versions
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    Jordan Abhold; Abigail Wozniak; John Mulcahy; Sara Walsh; Evelyn Zepeda; Ryan Demmer; Stephanie Yendell; Craig Hedberg; Angela Ulrich; Rebecca Wurtz; Timothy Beebe (2023). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0279660.s001
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    txtAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jordan Abhold; Abigail Wozniak; John Mulcahy; Sara Walsh; Evelyn Zepeda; Ryan Demmer; Stephanie Yendell; Craig Hedberg; Angela Ulrich; Rebecca Wurtz; Timothy Beebe
    License

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

    Description

    BackgroundMonitoring COVID-19 infection risk in the general population is a public health priority. Few studies have measured seropositivity using representative, probability samples. The present study measured seropositivity in a representative population of Minnesota residents prior to vaccines and assess the characteristics, behaviors, and beliefs of the population at the outset of the pandemic and their association with subsequent infection.MethodsParticipants in the Minnesota COVID-19 Antibody Study (MCAS) were recruited from residents of Minnesota who participated in the COVID-19 Household Impact Survey (CIS), a population-based survey that collected data on physical health, mental health, and economic security information between April 20 and June 8 of 2020. This was followed by collection of antibody test results between December 29, 2020 and February 26, 2021. Demographic, behavioral, and attitudinal exposures were assessed for association with the outcome of interest, SARS-CoV-2 seroprevalence, using univariate and multivariate logistic regression.ResultsOf the 907 potential participants from the CIS, 585 respondents then consented to participate in the antibody testing (64.4% consent rate). Of these, results from 537 test kits were included in the final analytic sample, and 51 participants (9.5%) were seropositive. The overall weighted seroprevalence was calculated to be 11.81% (95% CI, 7.30%-16.32%) at of the time of test collection. In adjusted multivariate logistic regression models, significant associations between seroprevalence and the following were observed; being from 23–64 and 65+ age groups were both associated with higher odds of COVID-19 seropositivity compared to the 18–22 age group (17.8 [1.2–260.1] and 24.7 [1.5–404.4] respectively). When compared to a less than $30k annual income reference group, all higher income groups had significantly lower odds of seropositivity. Reporting practicing a number of 10 (median reported value in sample) or more of 19 potential COVID-19 mitigation factors (e.g. handwashing and mask wearing) was associated with lower odds of seropositivity (0.4 [0.1–0.99]) Finally, the presence of at least one household member in the age range of 6 to 17 years old was associated with higher odds of seropositivity (8.3 [1.2–57.0]).ConclusionsThe adjusted odds ratio of SARS-CoV-2 seroprevalence was significantly positively associated with increasing age and having household member(s) in the 6–17 year age group, while increasing income levels and a mitigation score at or above the median were shown to be significantly protective factors.

  13. C

    China CN: COVID-19: Vaccinated People: To-Date

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: COVID-19: Vaccinated People: To-Date [Dataset]. https://www.ceicdata.com/en/china/covid19-vaccination/cn-covid19-vaccinated-people-todate
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    Dataset updated
    Dec 15, 2024
    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
    Feb 16, 2023 - Apr 27, 2023
    Area covered
    China
    Variables measured
    Indicator
    Description

    China COVID-19: Vaccinated People: To-Date data was reported at 1,310.489 Person mn in 27 Apr 2023. This records an increase from the previous number of 1,310.480 Person mn for 20 Apr 2023. China COVID-19: Vaccinated People: To-Date data is updated daily, averaging 1,293.447 Person mn from Jun 2021 (Median) to 27 Apr 2023, with 59 observations. The data reached an all-time high of 1,310.489 Person mn in 27 Apr 2023 and a record low of 622.000 Person mn in 10 Jun 2021. China COVID-19: Vaccinated People: To-Date data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: Vaccination.

  14. COVID-19 vaccination status of campers and staff at the residential summer...

    • plos.figshare.com
    xls
    Updated Nov 27, 2023
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    Tirzah Weiss; Tate Reuter; Evan Dowell; Mitchell Singstock; Katherine Smith; Jeffrey Schlaudecker (2023). COVID-19 vaccination status of campers and staff at the residential summer camps. [Dataset]. http://doi.org/10.1371/journal.pone.0282560.t003
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    xlsAvailable download formats
    Dataset updated
    Nov 27, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tirzah Weiss; Tate Reuter; Evan Dowell; Mitchell Singstock; Katherine Smith; Jeffrey Schlaudecker
    License

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

    Description

    COVID-19 vaccination status of campers and staff at the residential summer camps.

  15. C

    China CN: COVID-19: Vaccinated People: Booster Shots: To-Date

    • ceicdata.com
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    CEICdata.com, China CN: COVID-19: Vaccinated People: Booster Shots: To-Date [Dataset]. https://www.ceicdata.com/en/china/covid19-vaccination/cn-covid19-vaccinated-people-booster-shots-todate
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    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
    Oct 12, 2022 - Mar 2, 2023
    Area covered
    China
    Variables measured
    Indicator
    Description

    China COVID-19: Vaccinated People: Booster Shots: To-Date data was reported at 827.904 Person mn in 27 Apr 2023. This records an increase from the previous number of 827.839 Person mn for 20 Apr 2023. China COVID-19: Vaccinated People: Booster Shots: To-Date data is updated daily, averaging 793.279 Person mn from Nov 2021 (Median) to 27 Apr 2023, with 51 observations. The data reached an all-time high of 827.904 Person mn in 27 Apr 2023 and a record low of 37.973 Person mn in 05 Nov 2021. China COVID-19: Vaccinated People: Booster Shots: To-Date data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: Vaccination.

  16. Demographic characteristics: Southeastern MN voluntary survey sample by...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 23, 2023
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    Laura A. Maciejko; Jean M. Fox; Michelle T. Steffens; Christi A. Patten; Hana R. Newman; Paul A. Decker; Phil Wheeler; Young J. Juhn; Chung-Il Wi; Mary Gorfine; LaPrincess Brewer; Pamela S. Sinicrope (2023). Demographic characteristics: Southeastern MN voluntary survey sample by rural vs. urban status, N (%). [Dataset]. http://doi.org/10.1371/journal.pone.0286953.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laura A. Maciejko; Jean M. Fox; Michelle T. Steffens; Christi A. Patten; Hana R. Newman; Paul A. Decker; Phil Wheeler; Young J. Juhn; Chung-Il Wi; Mary Gorfine; LaPrincess Brewer; Pamela S. Sinicrope
    License

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

    Area covered
    Minnesota
    Description

    Demographic characteristics: Southeastern MN voluntary survey sample by rural vs. urban status, N (%).

  17. U

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

    • ceicdata.com
    Updated Mar 15, 2021
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    CEICdata.com (2021). United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Minnesota [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-minnesota
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    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
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Minnesota data was reported at 945.000 Number in 16 Sep 2023. This records an increase from the previous number of 940.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Minnesota data is updated weekly, averaging 889.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 993.000 Number in 21 Jan 2023 and a record low of 794.000 Number in 15 Jul 2017. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Minnesota 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).

  18. S1 File -

    • plos.figshare.com
    xls
    Updated Jan 19, 2024
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    Genjie Lu; Wei Chen; Yangfang Lu; Qilin Yu; Li Gao; Shijun Xin; Guanbao Zhou (2024). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0296917.s001
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    xlsAvailable download formats
    Dataset updated
    Jan 19, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Genjie Lu; Wei Chen; Yangfang Lu; Qilin Yu; Li Gao; Shijun Xin; Guanbao Zhou
    License

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

    Description

    BackgroundPrevious studies have reported that the susceptibility to coronavirus disease 2019 (COVID-19) is related to ABO blood group, but the relationship with Rh phenotype and MN blood group is unknown. China had adopted a strict control policy on COVID-19 until December 5, 2022, when local communities were liberalized. Therefore, we aimed to explore the correlation between ABO blood group, Rh phenotype, MN blood group and susceptibility to COVID-19 based on the time sequence of infection during the pandemic.MethodsA total of 870 patients who were routinely hospitalized in Ningbo Medical Center Lihuili Hospital from March 1, 2023 to March 31, 2023 were randomly selected to enroll in this study. Patients were divided into susceptible group and non-susceptible group, according to the time of their previous infection. The demographics and clinical information of the enrolled participants were collected from electronic medical records. The association of ABO blood group, Rh phenotype and MN blood group with susceptibility to COVID-19 was analyzed.ResultsA total of 650 cases (74.7%) had been infected with COVID-19, with 157 cases (18.0%) in the second week and 252 cases (29.0%) in the third week, reaching the peak of infection. Compared with the non-susceptible group, the susceptible group had no statistically significant differences in ABO blood group and Rh phenotype, but the proportion of N+ was higher (75.6% vs 68.9%, P = 0.030) and the proportion of MM was lower (24.4% vs 31.1%, P = 0.030). Consistent with this, ABO blood group and Rh phenotype were not significantly associated with susceptibility to COVID-19 (P>0.05), while N+ and MM were associated with susceptibility to COVID-19 (OR: 1.432, 95% confidence interval [CI]: 1.049, 1.954, P = 0.024; OR: 0.698, 95% CI: 0.512, 0.953, P = 0.024, respectively), after adjusting for age, sex, BMI, basic disease, and vaccination status in multivariate logistic regression analysis.ConclusionOur study showed that ABO blood group and Rh phenotype may not be related to the susceptibility to COVID-19, but MN blood group may be associated with the susceptibility to COVID-19.

  19. U

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

    • ceicdata.com
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    CEICdata.com, United States Excess Deaths excl COVID: Predicted: No. of Deaths: Minnesota [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-deaths-excl-covid-predicted-no-of-deaths-minnesota
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    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
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths excl COVID: Predicted: No. of Deaths: Minnesota data was reported at 778.000 Number in 16 Sep 2023. This records a decrease from the previous number of 826.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: No. of Deaths: Minnesota data is updated weekly, averaging 876.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 1,040.000 Number in 15 Jan 2022 and a record low of 734.000 Number in 02 Jun 2018. United States Excess Deaths excl COVID: Predicted: No. of Deaths: Minnesota 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).

  20. S1 Raw data -

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 23, 2023
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    Laura A. Maciejko; Jean M. Fox; Michelle T. Steffens; Christi A. Patten; Hana R. Newman; Paul A. Decker; Phil Wheeler; Young J. Juhn; Chung-Il Wi; Mary Gorfine; LaPrincess Brewer; Pamela S. Sinicrope (2023). S1 Raw data - [Dataset]. http://doi.org/10.1371/journal.pone.0286953.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laura A. Maciejko; Jean M. Fox; Michelle T. Steffens; Christi A. Patten; Hana R. Newman; Paul A. Decker; Phil Wheeler; Young J. Juhn; Chung-Il Wi; Mary Gorfine; LaPrincess Brewer; Pamela S. Sinicrope
    License

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

    Description

    Rural populations are more vulnerable to the impacts of COVID-19 compared to their urban counterparts as they are more likely to be older, uninsured, to have more underlying medical conditions, and live further from medical care facilities. We engaged the Southeastern MN (SEMN) community (N = 7,781, 51% rural) to conduct a survey of motivators and barriers to masking to prevent COVID-19. We also assessed preferences for types of and modalities to receive education/intervention, exploring both individual and environmental factors primarily consistent with Social Cognitive Theory. Our results indicated rural compared to urban residents performed fewer COVID-19 prevention behaviors (e.g. 62% rural vs. 77% urban residents reported wearing a mask all of the time in public, p

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

COVID-19 State Profile Report - Minnesota

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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/
Area covered
Minnesota
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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