10 datasets found
  1. d

    COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates -...

    • catalog.data.gov
    • data.cityofchicago.org
    • +1more
    Updated May 24, 2024
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    data.cityofchicago.org (2024). COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates - Historical [Dataset]. https://catalog.data.gov/dataset/covid-19-daily-rolling-average-case-and-death-rates
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    Dataset updated
    May 24, 2024
    Dataset provided by
    data.cityofchicago.org
    Description

    NOTE: This dataset has been retired and marked as historical-only. This dataset is a companion to the COVID-19 Daily Cases and Deaths dataset (https://data.cityofchicago.org/d/naz8-j4nc). The major difference in this dataset is that the case, death, and hospitalization corresponding rates per 100,000 population are not those for the single date indicated. They are rolling averages for the seven-day period ending on that date. This rolling average is used to account for fluctuations that may occur in the data, such as fewer cases being reported on weekends, and small numbers. The intent is to give a more representative view of the ongoing COVID-19 experience, less affected by what is essentially noise in the data. All rates are per 100,000 population in the indicated group, or Chicago, as a whole, for “Total” columns. Only Chicago residents are included based on the home address as provided by the medical provider. Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted based on the date the test specimen was collected. Deaths among cases are aggregated by day of death. Hospitalizations are reported by date of first hospital admission. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation. Denominators are from the U.S. Census Bureau American Community Survey 1-year estimate for 2018 and can be seen in the Citywide, 2018 row of the Chicago Population Counts dataset (https://data.cityofchicago.org/d/85cm-7uqa). All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects cases and deaths currently known to CDPH. Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases and deaths, sources used, how cases and deaths are associated to a specific date, and similar factors. Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office, U.S. Census Bureau American Community Survey

  2. d

    COVID-19 Daily Cases, Deaths, and Hospitalizations - Historical

    • catalog.data.gov
    • data.cityofchicago.org
    • +1more
    Updated May 24, 2024
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    data.cityofchicago.org (2024). COVID-19 Daily Cases, Deaths, and Hospitalizations - Historical [Dataset]. https://catalog.data.gov/dataset/covid-19-daily-cases-deaths-and-hospitalizations
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    Dataset updated
    May 24, 2024
    Dataset provided by
    data.cityofchicago.org
    Description

    NOTE: This dataset has been retired and marked as historical-only. Only Chicago residents are included based on the home ZIP Code, as provided by the medical provider, or the address, as provided by the Cook County Medical Examiner. Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted on the date the test specimen was collected. Deaths are those occurring among cases based on the day of death. Hospitalizations are based on the date of first hospitalization. Only one hospitalization is counted for each case. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation. Because of the nature of data reporting to CDPH, hospitalizations will be blank for recent dates They will fill in on later updates when the data are received, although, as for cases and deaths, may continue to be updated as further data are received. All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases, deaths, and hospitalizations, sources used, how cases, deaths and hospitalizations are associated to a specific date, and similar factors. Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office

  3. U

    United States COVID-19: No. of Deaths: To Date: Illinois

    • ceicdata.com
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    CEICdata.com, United States COVID-19: No. of Deaths: To Date: Illinois [Dataset]. https://www.ceicdata.com/en/united-states/center-for-disease-control-and-prevention-coronavirus-disease-2019-covid2019/covid19-no-of-deaths-to-date-illinois
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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
    Nov 23, 2023 - Dec 4, 2023
    Area covered
    United States
    Description

    United States COVID-19: No. of Deaths: To Date: Illinois data was reported at 42,005.000 Person in 10 May 2023. This stayed constant from the previous number of 42,005.000 Person for 09 May 2023. United States COVID-19: No. of Deaths: To Date: Illinois data is updated daily, averaging 27,061.000 Person from Jan 2020 (Median) to 10 May 2023, with 1205 observations. The data reached an all-time high of 42,005.000 Person in 10 May 2023 and a record low of 0.000 Person in 16 Mar 2020. United States COVID-19: No. of Deaths: To Date: Illinois data remains active status in CEIC and is reported by Illinois Department of Public Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table US.D001: Center for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019).

  4. D

    Medical Examiner Case Archive - COVID-19 Related Deaths

    • datacatalog.cookcountyil.gov
    Updated Nov 18, 2025
    + more versions
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    Cook County Medical Examiner (2025). Medical Examiner Case Archive - COVID-19 Related Deaths [Dataset]. https://datacatalog.cookcountyil.gov/widgets/3trz-enys
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    kmz, xml, kml, csv, application/geo+json, xlsxAvailable download formats
    Dataset updated
    Nov 18, 2025
    Dataset authored and provided by
    Cook County Medical Examiner
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Effective April 1, 2022, the Cook County Medical Examiner’s Office no longer takes jurisdiction over hospital, nursing home or hospice COVID-19 deaths unless there is another factor that falls within the Office’s jurisdiction. Data continues to be collected for COVID-19 deaths in Cook County on the Illinois Dept. of Public Health COVID-19 dashboard (https://dph.illinois.gov/covid19/data.html).

    This filtered view contains information about COVID-19 related deaths that occurred in Cook County that were under the Medical Examiner’s jurisdiction.This view was created by looking for "covid" in any of these fields: Primary Cause, Primary Cause Line A, Primary Cause Line B, Primary Cause Line C, or Secondary Cause.

    For more information see: https://datacatalog.cookcountyil.gov/stories/s/ttk4-trbu

    Not all deaths that occur in Cook County are reported to the Medical Examiner or fall under the jurisdiction of the Medical Examiner. The Medical Examiner’s Office determines cause and manner of death for those cases that fall under its jurisdiction. Cause of death describes the reason the person died. This dataset includes information from deaths starting in August 2014 to the present, with information updated daily.

    Changes: December 16, 2022: The Cook County Commissioner District field now reflects the boundaries that went into effect December 5, 2022.

  5. 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
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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 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.).

  6. 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.

  7. a

    Medical Examiner Case Archive, 2014 to present

    • hub.arcgis.com
    • hub-cookcountyil.opendata.arcgis.com
    Updated Dec 1, 2017
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    Cook County Government (2017). Medical Examiner Case Archive, 2014 to present [Dataset]. https://hub.arcgis.com/datasets/4f7cc9f13542463c89b2055afd4a6dc1
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    Dataset updated
    Dec 1, 2017
    Dataset authored and provided by
    Cook County Government
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The information presented here is compiled from the Cook County Medical Examiner’s Office.The data sets include information from deaths starting in August 2014 to the present, with information updated daily.It contains information about deaths that occurred in Cook County that were under the Medical Examiner’s jurisdiction. Not all deaths that occur in Cook County are reported to the Medical Examiner or fall under the jurisdiction of the Medical Examiner.Effective April 1, 2022, the Cook County Medical Examiner’s Office no longer takes jurisdiction over hospital, nursing home or hospice COVID-19 deaths unless there is another factor that falls within the Office’s jurisdiction. Data continues to be collected for COVID-19 deaths in Cook County on the Illinois Dept. of Public Health COVID-19 dashboard (https://dph.illinois.gov/covid19/data.html).The Medical Examiner’s Office determines cause and manner of death for those cases that fall under its jurisdiction.Cause of death describes the reason the person died.Manner of death falls under one of five categories:· Homicide· Suicide· Natural· Accident· UndeterminedThe information posted here may be graphic in nature and may not be appropriate for all users.Published 11/21/17 and updated daily.

  8. COVID-19 Coronavirus Romania

    • kaggle.com
    zip
    Updated May 15, 2020
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    Oriana Oniciuc (2020). COVID-19 Coronavirus Romania [Dataset]. https://www.kaggle.com/orianao/covid19-coronavirus-romania
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    zip(1181 bytes)Available download formats
    Dataset updated
    May 15, 2020
    Authors
    Oriana Oniciuc
    Area covered
    Romania
    Description

    Context

    The dataset analyses the impact of the COVID-19 pandemic in Romania.

    Content

    The dataset contains 4 columns: * date - the date of each record, starting from 26 February 2020 * cases - the cumulative number of cases reported each day, in the first days of the pandemic there were multiple press releases about the number of cases, but the sum per day is already aggregated * recovered - the cumulative number of recovered cases * deaths - the cumulative number of deaths * tests - number of tests performed by the date, for the dates with no information, the difference split equally in that interval

    Acknowledgements

    This data was collected from: * https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_Romania * https://www.digi24.ro/stiri/actualitate/informatii-oficiale-despre-coronavirus-in-romania-1266261 * https://stirioficiale.ro/informatii

    Other great data souces: * http://www.ms.ro/comunicate/ * http://www.cnscbt.ro/ * https://instnsp.maps.arcgis.com/apps/opsdashboard/index.html#/5eced796595b4ee585bcdba03e30c127

    Thank you for the photo: * https://playtech.ro/stiri/o-minciuna-despre-coronavirus-il-va-costa-ani-grei-de-inchisoare-ce-a-facut-un-barbat-din-campia-turzii-95782

    Inspiration

    Thanks, https://www.kaggle.com/bjoernjostein/corona-virus-in-norway!

  9. Multivariate analysis assessing the prognostic value of biomarker gene...

    • figshare.com
    xls
    Updated Jun 4, 2023
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    Christophe Rodriguez; Nicolas de Prost; Slim Fourati; Claudie Lamoureux; Guillaume Gricourt; Melissa N’debi; Florence Canoui-Poitrine; Isaac Désveaux; Oriane Picard; Vanessa Demontant; Elisabeth Trawinski; Raphaël Lepeule; Laure Surgers; William Vindrios; Jean-Daniel Lelièvre; Nicolas Mongardon; Olivier Langeron; José L. Cohen; Armand Mekontso-Dessap; Paul-Louis Woerther; Jean-Michel Pawlotsky (2023). Multivariate analysis assessing the prognostic value of biomarker gene expression on 30-day mortality in ICU patients (N = 44, 17 deaths). [Dataset]. http://doi.org/10.1371/journal.ppat.1009416.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christophe Rodriguez; Nicolas de Prost; Slim Fourati; Claudie Lamoureux; Guillaume Gricourt; Melissa N’debi; Florence Canoui-Poitrine; Isaac Désveaux; Oriane Picard; Vanessa Demontant; Elisabeth Trawinski; Raphaël Lepeule; Laure Surgers; William Vindrios; Jean-Daniel Lelièvre; Nicolas Mongardon; Olivier Langeron; José L. Cohen; Armand Mekontso-Dessap; Paul-Louis Woerther; Jean-Michel Pawlotsky
    License

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

    Description

    Multivariate analysis assessing the prognostic value of biomarker gene expression on 30-day mortality in ICU patients (N = 44, 17 deaths).

  10. Data_Sheet_1_Regional moderate hyperthermia for mild-to-moderate COVID-19...

    • frontiersin.figshare.com
    docx
    Updated Dec 22, 2023
    + more versions
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    Javier Mancilla-Galindo; Ashuin Kammar-García; María de Lourdes Mendoza-Gertrudis; Javier Michael García Acosta; Yanira Saralee Nava Serrano; Oscar Santiago; Miriam Berenice Torres Vásquez; Daniela Martínez Martínez; Liliana Aline Fernández-Urrutia; Julio César Robledo Pascual; Iván Daniel Narváez Morales; Andrea Aida Velasco-Medina; Javier Mancilla-Ramírez; Ricardo Figueroa-Damián; Norma Galindo-Sevilla (2023). Data_Sheet_1_Regional moderate hyperthermia for mild-to-moderate COVID-19 (TherMoCoV study): a randomized controlled trial.docx [Dataset]. http://doi.org/10.3389/fmed.2023.1256197.s001
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    docxAvailable download formats
    Dataset updated
    Dec 22, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Javier Mancilla-Galindo; Ashuin Kammar-García; María de Lourdes Mendoza-Gertrudis; Javier Michael García Acosta; Yanira Saralee Nava Serrano; Oscar Santiago; Miriam Berenice Torres Vásquez; Daniela Martínez Martínez; Liliana Aline Fernández-Urrutia; Julio César Robledo Pascual; Iván Daniel Narváez Morales; Andrea Aida Velasco-Medina; Javier Mancilla-Ramírez; Ricardo Figueroa-Damián; Norma Galindo-Sevilla
    License

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

    Description

    BackgroundTo prevent COVID-19 progression, low-cost alternatives that are available to all patients are needed. Diverse forms of thermotherapy have been proposed to prevent progression to severe/critical COVID-19.ObjectiveThe aim of this study is to evaluate the efficacy and safety of local thermotherapy to prevent disease progression in hospitalized adult patients with mild-to-moderate COVID-19.MethodsA multicenter, open-label, parallel-group, randomized, adaptive trial is used to evaluate the efficacy and safety of local thermotherapy to prevent disease progression in hospitalized adult patients with mild-to-moderate COVID-19. Eligible hospitalized adult patients with symptoms of COVID-19 with ≤5 days from symptom onset, meeting criteria for mild or moderate COVID-19, were randomly assigned to the intervention consisting of local thermotherapy via an electric heat pad in the thorax (target temperature range 39.5–42°C) continuously for 90 min, twice daily, for 5 days, or standard care. The main outcome was the proportion of patients who progressed to severe-to-critical COVID-19 or death. Patients were randomized in a 1:1 ratio through a centralized computer-generated sequence of minimization with a random component of 20%. Participants and medical staff were not blinded to the intervention.ResultsOne-hundred and five participants (thermotherapy n = 54, control n = 51) with a median age of 53 (IQR: 41–64) years were included for analysis after the early cessation of recruitment due to the closure of all temporal COVID-19 units (target sample size = 274). The primary outcome of disease progression occurred in 31.4% (16/51) of patients in the control group vs. 25.9% (14/54) of those receiving thermotherapy (risk difference = 5.5%; 95%CI: −11.8–22.7, p = 0.54). Thermotherapy was well tolerated with a median total duration of thermotherapy of 900 (IQR: 877.5–900) min. Seven (13.7%) patients in the control group and seven (12.9%) in the thermotherapy group had at least one AE (p = 0.9), none of which were causally attributed to the intervention. No statistically significant differences in serum cytokines (IL-1β, IL-6, IL-8, IL-10, IL-17, and IFN-γ) were observed between day 5 and baseline among groups.ConclusionLocal thermotherapy was safe and well-tolerated. A non-statistically significant lower proportion of patients who experienced disease progression was found in the thermotherapy group compared to standard care. Local thermotherapy could be further studied as a strategy to prevent disease progression in ambulatory settings.Clinical Trial registration: www.clinicaltrials.gov, identifier: NCT04363541.

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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data.cityofchicago.org (2024). COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates - Historical [Dataset]. https://catalog.data.gov/dataset/covid-19-daily-rolling-average-case-and-death-rates

COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates - Historical

Explore at:
Dataset updated
May 24, 2024
Dataset provided by
data.cityofchicago.org
Description

NOTE: This dataset has been retired and marked as historical-only. This dataset is a companion to the COVID-19 Daily Cases and Deaths dataset (https://data.cityofchicago.org/d/naz8-j4nc). The major difference in this dataset is that the case, death, and hospitalization corresponding rates per 100,000 population are not those for the single date indicated. They are rolling averages for the seven-day period ending on that date. This rolling average is used to account for fluctuations that may occur in the data, such as fewer cases being reported on weekends, and small numbers. The intent is to give a more representative view of the ongoing COVID-19 experience, less affected by what is essentially noise in the data. All rates are per 100,000 population in the indicated group, or Chicago, as a whole, for “Total” columns. Only Chicago residents are included based on the home address as provided by the medical provider. Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted based on the date the test specimen was collected. Deaths among cases are aggregated by day of death. Hospitalizations are reported by date of first hospital admission. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation. Denominators are from the U.S. Census Bureau American Community Survey 1-year estimate for 2018 and can be seen in the Citywide, 2018 row of the Chicago Population Counts dataset (https://data.cityofchicago.org/d/85cm-7uqa). All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects cases and deaths currently known to CDPH. Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases and deaths, sources used, how cases and deaths are associated to a specific date, and similar factors. Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office, U.S. Census Bureau American Community Survey

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