23 datasets found
  1. COVID-19 State Profile Report - Michigan

    • healthdata.gov
    • data.virginia.gov
    • +4more
    csv, xlsx, xml
    Updated Jan 27, 2021
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    White House COVID-19 Team, Joint Coordination Cell, Data Strategy and Execution Workgroup (2021). COVID-19 State Profile Report - Michigan [Dataset]. https://healthdata.gov/Community/COVID-19-State-Profile-Report-Michigan/s8hn-gz3c
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jan 27, 2021
    Dataset authored and provided by
    White House COVID-19 Team, Joint Coordination Cell, Data Strategy and Execution Workgroup
    License

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

    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. f

    Michigan COVID-19 Outbreaks by Type and Region 2020-2021

    • data.ferndalemi.gov
    • detroitdata.org
    • +1more
    Updated Mar 1, 2021
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    Data Driven Detroit (2021). Michigan COVID-19 Outbreaks by Type and Region 2020-2021 [Dataset]. https://data.ferndalemi.gov/documents/95c853a11c7242e9a15ca0f1f677f3f6
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    Dataset updated
    Mar 1, 2021
    Dataset authored and provided by
    Data Driven Detroit
    Area covered
    Michigan
    Description

    This dataset provides a single table of historical outbreak data as reported by public health departments to the Michigan Department of Health and Human Services from August 22, 2020 to February 11, 2021. Additional information about the dataset and more current data tables can be found here: https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173_102057---,00.html. Data is reported by Emergency Preparedness Region as well as the entire state. For more on Emergency Preparedness Regions: https://www.michigan.gov/mdhhs/0,5885,7-339-71548_54783_54826_56171-237197--,00.html. New outbreaks are those outbreaks that were first identified during the current reporting week. Ongoing outbreaks are those that had already been identified in previous weeks but have had at least one new associated case reported to the local health department in the last 2 weeks.Click here for metadata (descriptions of the fields)

  3. COVID-19 Dataset for Michigan Counties

    • kaggle.com
    zip
    Updated Apr 5, 2020
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    AdityaVipradas (2020). COVID-19 Dataset for Michigan Counties [Dataset]. https://www.kaggle.com/adityavipradas/covid19-dataset-for-michigan-counties
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    zip(6812 bytes)Available download formats
    Dataset updated
    Apr 5, 2020
    Authors
    AdityaVipradas
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Michigan
    Description

    Context

    COVID-19 is on a rise worldwide. It was first identified in the city of Wuhan in China in 2019 and has now spread into a global pandemic. Michigan is currently the third largest affected state in USA. The state's confirmed cases have been on a rise since early March 2020. In this dire time, it is extremely important to understand the factors affecting the spread of the virus in Michigan, identify susceptible population and predict the trajectory of the infected and dead cases on a daily basis.

    Content

    Update: April 4, 2020 2:00 PM Eastern Standard Time (EST)

    This data currently contains information about COVID-19 confirmed cases (14225) and deaths (540) in Michigan counties. The dataset also includes percentage of COVID-19 confirmed and dead cases by age, gender, race and ethnicity. The information is published by www.michigan.gov on a daily basis at 2:00 PM EST. The results are included as of 10:00 AM every day.

    Acknowledgements

    Michigan.gov - Coronavirus

    Inspiration

    1. This dataset will be useful in understanding and predicting the trajectory of the infected and dead cases in Michigan in the coming days.
    2. The dataset can also give insight about the most vulnerable age groups in Michigan.

    Please consider upvoting if the data is found useful in any way. If there are any improvement suggestions, do let me know.

  4. COVID-19 State Profile Report - Michigan - s8hn-gz3c - Archive Repository

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 3, 2025
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    (2025). COVID-19 State Profile Report - Michigan - s8hn-gz3c - Archive Repository [Dataset]. https://healthdata.gov/w/ghzi-tzeb/default?cur=ZnL8PTBpFSS&from=rKWpgf7aLlM
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jul 3, 2025
    Area covered
    Michigan
    Description

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

  5. n

    Coronavirus (Covid-19) Data in the United States

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

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

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

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

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

  6. Study of State and Local-Level Educational Leaders COVID-19 Equity...

    • openicpsr.org
    Updated Jan 21, 2025
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    Ogechi N. Irondi; Hayley Weddle; Ayesha K. Hashim (2025). Study of State and Local-Level Educational Leaders COVID-19 Equity Approaches in Michigan, 2021-22 [Dataset]. http://doi.org/10.3886/E216202V1
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    Dataset updated
    Jan 21, 2025
    Dataset provided by
    NWEAhttp://nwea.org/
    University of Pittsburgh
    Authors
    Ogechi N. Irondi; Hayley Weddle; Ayesha K. Hashim
    License

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

    Time period covered
    Nov 2021 - May 2022
    Area covered
    Michigan
    Description

    The COVID-19 pandemic exacerbated equity issues in education spanning race, disability, language, and socio-economic status. However, few studies examine the ways that district or state educational leaders consider equity in their decision-making during a crisis. This study examines how K-12 state and local leaders conceptualized equity and actualized equitable policies and practices during the pandemic. We conducted a multi-level case study, interviewing state and local-level educational leaders (n=64) from five school districts in the state of Michigan. Our findings reveal that leaders formed equity visions focused on meeting students’ individual needs, which were enacted differently at the state and local levels. Interview questions focused on leaders’ priorities and efforts to support staff, students, and families during the height of the COVID-19 pandemic. For example, interview questions prompted leaders to share their specific approaches for promoting student learning and engagement amidst the pandemic, key collaborators in this work, relevant successes and challenges, and any initiatives designed to support specific student populations (e.g., English learners, students receiving special education services, etc.). Additional topics include reflections on any lessons learned about equity during the 2019-20 and 2020-21 school years, including how leaders' thoughts on equity may have shifted due to the pandemic.

  7. d

    Potential Coronavirus (COVID-19) symptoms reported through NHS Pathways and...

    • digital.nhs.uk
    • tnaqa.mirrorweb.com
    + more versions
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    Potential Coronavirus (COVID-19) symptoms reported through NHS Pathways and 111 online [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mi-potential-covid-19-symptoms-reported-through-nhs-pathways-and-111-online
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    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Mar 18, 2020 - Jul 20, 2022
    Description

    Data published on potential COVID-19 symptoms reported through NHS Pathways and 111 online Dashboard shows the total number of NHS Pathways triages through 111 and 999, and online assessments in 111 online which have received a potential COVID-19 final disposition. This data is based on potential COVID-19 symptoms reported by members of the public to NHS Pathways through NHS 111 or 999 and 111 online, and is not based on the outcomes of tests for coronavirus. This is not a count of people.

  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. o

    COVID-19 Coping Study

    • openicpsr.org
    delimited
    Updated Jan 28, 2021
    + more versions
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    Lindsay Kobayashi; Jessica Finlay (2021). COVID-19 Coping Study [Dataset]. http://doi.org/10.3886/E131022V1
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    delimitedAvailable download formats
    Dataset updated
    Jan 28, 2021
    Dataset provided by
    University of Michigan. School of Public Health
    University of Michigan. Institute for Social Research
    Authors
    Lindsay Kobayashi; Jessica Finlay
    License

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

    Area covered
    All 50 US states, the District of Columbia, and Puerto Rico
    Description

    The COVID-19 Coping Study is a national, longitudinal cohort study of 6,938 US adults aged ≥55 enrolled from April 2nd through May 31st, 2020 in all 50 US states, the District of Columbia, and Puerto Rico. Participants were recruited through a non-probability multi-frame sampling strategy, and completed data collection through online questionnaires administered via the University of Michigan Qualtrics in English (N=6,886) and Spanish (N=52). Data were collected on a variety of demographic, social, and health-related topics including COVID-19 symptom and testing history, COVID-19-related stressors and worries, self-isolation and social distancing practices, behavior changes and coping mechanisms, mental health symptom scales, and living arrangements. A sub-set of the baseline sample (N=4,401) were sent monthly follow-up questionnaires over the following 12 months. The included files contain baseline through 6-month of follow-up data from the COVID-19 Coping Study. Data are available in Stata (C19CS.dta), a CSV file with value labels (C19CS Labelled.csv), and a CSV file with numeric values (C19CS Numeric.csv).

  10. U

    United States Excess Deaths excl COVID: Predicted: Above Expected: Michigan

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States Excess Deaths excl COVID: Predicted: Above Expected: Michigan [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-michigan
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    Dataset updated
    Mar 15, 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
    Aug 14, 2021 - Oct 30, 2021
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Deaths excl COVID: Predicted: Above Expected: Michigan 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: Michigan 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 341.000 Number in 04 Apr 2020 and a record low of 0.000 Number in 30 Oct 2021. United States Excess Deaths excl COVID: Predicted: Above Expected: Michigan 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).

  11. U

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

    • ceicdata.com
    Updated Sep 16, 2023
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    CEICdata.com (2023). United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Michigan [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-michigan
    Explore at:
    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 Deaths excl COVID: Predicted: Avg No. of Deaths: Michigan data was reported at 1,902.000 Number in 16 Sep 2023. This records an increase from the previous number of 1,894.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Michigan data is updated weekly, averaging 1,902.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 2,073.000 Number in 11 Feb 2023 and a record low of 1,749.000 Number in 15 Jul 2017. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Michigan 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. Characteristics of the three cohorts with genotype data, pre-COVID-19...

    • plos.figshare.com
    xls
    Updated Jan 3, 2024
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    Lars G. Fritsche; Kisung Nam; Jiacong Du; Ritoban Kundu; Maxwell Salvatore; Xu Shi; Seunggeun Lee; Stephen Burgess; Bhramar Mukherjee (2024). Characteristics of the three cohorts with genotype data, pre-COVID-19 datasetsb'*'. [Dataset]. http://doi.org/10.1371/journal.pgen.1010907.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lars G. Fritsche; Kisung Nam; Jiacong Du; Ritoban Kundu; Maxwell Salvatore; Xu Shi; Seunggeun Lee; Stephen Burgess; Bhramar Mukherjee
    License

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

    Description

    Characteristics of the three cohorts with genotype data, pre-COVID-19 datasetsb'*'.

  13. Provisional COVID-19 death counts and rates by month, jurisdiction of...

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Sep 26, 2025
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    Centers for Disease Control and Prevention (2025). Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics [Dataset]. https://catalog.data.gov/dataset/provisional-covid-19-death-counts-and-rates-by-month-jurisdiction-of-residence-and-demogra
    Explore at:
    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 and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. 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 jurisdictions. 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; 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). Rate are based on deaths occurring in the specified week 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 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) 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.).

  14. U

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

    • ceicdata.com
    Updated Mar 15, 2021
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    CEICdata.com (2021). United States Excess Deaths excl COVID: Predicted: Upper Bound: Michigan [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-michigan
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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: Upper Bound: Michigan data was reported at 2,000.000 Number in 16 Sep 2023. This records an increase from the previous number of 1,990.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Upper Bound: Michigan data is updated weekly, averaging 2,011.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 2,176.000 Number in 18 Feb 2023 and a record low of 1,858.000 Number in 29 Jul 2017. United States Excess Deaths excl COVID: Predicted: Upper Bound: Michigan 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).

  15. Data_Sheet_2_The impact of educational interventions on COVID-19 and...

    • frontiersin.figshare.com
    docx
    Updated Jun 2, 2023
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    Maya Asami Takagi; Samantha Hess; Zachary Smith; Karissa Gawronski; Ayushi Kumar; Jacob Horsley; Nicholas Haddad; Bernard Noveloso; Stephen Zyzanski; Neli Ragina (2023). Data_Sheet_2_The impact of educational interventions on COVID-19 and vaccination attitudes among patients in Michigan: A prospective study.docx [Dataset]. http://doi.org/10.3389/fpubh.2023.1144659.s002
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Maya Asami Takagi; Samantha Hess; Zachary Smith; Karissa Gawronski; Ayushi Kumar; Jacob Horsley; Nicholas Haddad; Bernard Noveloso; Stephen Zyzanski; Neli Ragina
    License

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

    Description

    BackgroundMass vaccination serves as an effective strategy to combat the COVID-19 pandemic. Vaccine hesitancy is a recognized impediment to achieving a vaccination rate necessary to protect communities. However, solutions and interventions to address this issue are limited by a lack of prior research.MethodsOver 200 patients from 18 Michigan counties participated in this study. Each participant received an initial survey, including demographical questions and knowledge and opinion questions regarding COVID-19 and vaccines. Participants were randomly assigned an educational intervention in either video or infographic format. Patients received a post-survey to assess changes in knowledge and attitudes. Paired sample t-tests and ANOVA were used to measure the effectiveness of the educational interventions. Participants also elected to complete a 3-month follow-up survey.ResultsPatients showed increased knowledge after the educational intervention in six out of seven COVID-19 topics (p 

  16. Michigan monthly sports betting tax revenue 2020-2024

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Michigan monthly sports betting tax revenue 2020-2024 [Dataset]. https://www.statista.com/statistics/1273030/monthly-sports-betting-tax-revenue-michigan/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020 - May 2024
    Area covered
    Michigan
    Description

    Michigan launched retail sports betting in March 2020, right before sports leagues began to shut down due to the coronavirus (COVID-19) pandemic. In May 2024, Michigan generated a total tax revenue of nearly *** million U.S. dollars from sports betting, down from the previous month's total of approximately **** million U.S. dollars.

  17. U

    United States SB: MI: COVID-19 Impact: Little or No Effect

    • ceicdata.com
    Updated Apr 23, 2022
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    CEICdata.com (2022). United States SB: MI: COVID-19 Impact: Little or No Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-mi-covid19-impact-little-or-no-effect
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    Dataset updated
    Apr 23, 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: MI: COVID-19 Impact: Little or Number Effect data was reported at 21.000 % in 11 Apr 2022. This records a decrease from the previous number of 22.800 % for 04 Apr 2022. United States SB: MI: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 22.350 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 27.600 % in 14 Mar 2022 and a record low of 19.700 % in 28 Feb 2022. United States SB: MI: COVID-19 Impact: Little or Number 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: MI: COVID-19 Impact: Large Positive Effect

    • ceicdata.com
    Updated Apr 23, 2022
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    CEICdata.com (2022). United States SB: MI: COVID-19 Impact: Large Positive Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-mi-covid19-impact-large-positive-effect
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    Dataset updated
    Apr 23, 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
    Nov 15, 2021 - Apr 4, 2022
    Area covered
    United States
    Description

    United States SB: MI: COVID-19 Impact: Large Positive Effect data was reported at 2.100 % in 04 Apr 2022. This records a decrease from the previous number of 2.300 % for 28 Mar 2022. United States SB: MI: COVID-19 Impact: Large Positive Effect data is updated weekly, averaging 1.900 % from Nov 2021 (Median) to 04 Apr 2022, with 6 observations. The data reached an all-time high of 3.200 % in 07 Mar 2022 and a record low of 1.900 % in 20 Dec 2021. United States SB: MI: COVID-19 Impact: Large 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.S: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

  19. U

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

    • ceicdata.com
    Updated Apr 23, 2022
    + more versions
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    CEICdata.com (2022). United States SB: MI: COVID-19 Impact: Moderate Positive Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-mi-covid19-impact-moderate-positive-effect
    Explore at:
    Dataset updated
    Apr 23, 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: MI: COVID-19 Impact: Moderate Positive Effect data was reported at 8.900 % in 11 Apr 2022. This records an increase from the previous number of 7.800 % for 04 Apr 2022. United States SB: MI: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 7.850 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 10.100 % in 28 Feb 2022 and a record low of 5.500 % in 07 Mar 2022. United States SB: MI: 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).

  20. Sample Sizes and Ancestry of Studies in COVID-19 HGI GWAS Meta-Analysis...

    • plos.figshare.com
    xlsx
    Updated Jan 3, 2024
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    Lars G. Fritsche; Kisung Nam; Jiacong Du; Ritoban Kundu; Maxwell Salvatore; Xu Shi; Seunggeun Lee; Stephen Burgess; Bhramar Mukherjee (2024). Sample Sizes and Ancestry of Studies in COVID-19 HGI GWAS Meta-Analysis "B1_ALL". [Dataset]. http://doi.org/10.1371/journal.pgen.1010907.s016
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    xlsxAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lars G. Fritsche; Kisung Nam; Jiacong Du; Ritoban Kundu; Maxwell Salvatore; Xu Shi; Seunggeun Lee; Stephen Burgess; Bhramar Mukherjee
    License

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

    Description

    Sample Sizes and Ancestry of Studies in COVID-19 HGI GWAS Meta-Analysis "B1_ALL".

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White House COVID-19 Team, Joint Coordination Cell, Data Strategy and Execution Workgroup (2021). COVID-19 State Profile Report - Michigan [Dataset]. https://healthdata.gov/Community/COVID-19-State-Profile-Report-Michigan/s8hn-gz3c
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COVID-19 State Profile Report - Michigan

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xlsx, xml, csvAvailable download formats
Dataset updated
Jan 27, 2021
Dataset authored and provided by
White House COVID-19 Team, Joint Coordination Cell, Data Strategy and Execution Workgroup
License

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

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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