14 datasets found
  1. d

    MD COVID-19 - MASTER Case Tracker

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Oct 25, 2025
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    opendata.maryland.gov (2025). MD COVID-19 - MASTER Case Tracker [Dataset]. https://catalog.data.gov/dataset/md-covid-19-master-case-tracker
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    Dataset updated
    Oct 25, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Note:This dataset represents archived records covering the period from March 2020 through October 2025. The most recent dataset, containing data from October 2025 to the present, is available at: https://data.maryland.gov/Health-and-Human-Services/COVID-Master-Tracker/37gh-4yqf/about_data Summary The cases, tests, positivity rates, hospitalizations, and confirmed and probable deaths for COVID-19 in Maryland. Description The MD COVID-19 - MASTER Case Tracker is a collection of Total Cases, Total Tests, Postivity Rates, Persons Tested Negative, Total Daily Hospital Beds, Total Ever Hospitalized, Total Persons Documented to Have Completed Home Isolation, Cases by County, Cases by Age Distribution, Cases by Gender Distribution, Cases by Race and Ethnicity Distribution, Confirmed Deaths Statewide, Confirmed Deaths by Date of Death, Confirmed Deaths by County, Confirmed Deaths by Age Distribution, Confirmed Deaths by Gender Distribution, Confirmed Deaths by Race And Ethnicity Distribution, Probable Deaths Statewide, Probable Deaths by Date of Death, Probable Deaths by County, Probable Deaths by Age Distribution, Probable Deaths by Gender Distribution, and Probable Deaths by Race And Ethnicity Distribution. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  2. MD COVID-19 - Total Hospitalizations

    • opendata.maryland.gov
    • healthdata.gov
    • +2more
    csv, xlsx, xml
    Updated Mar 14, 2022
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    Maryland Department of Health Prevention and Health Promotion Administration, MDH PHPA (2022). MD COVID-19 - Total Hospitalizations [Dataset]. https://opendata.maryland.gov/Health-and-Human-Services/MD-COVID-19-Total-Hospitalizations/g59h-ffnv
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Professional Hockey Players' Associationhttp://phpa.com/
    Authors
    Maryland Department of Health Prevention and Health Promotion Administration, MDH PHPA
    License

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

    Area covered
    Maryland
    Description

    NOTE: This layer is deprecated (last updated 3/14/2022). This was formerly a daily update.

    Summary The cumulative number of COVID-19 positive Maryland residents who have been hospitalized.

    Description The MD COVID-19 - Total Hospitalizations data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day by each local health department as having been hospitalized. As published to coronavirus.maryland.gov, this is the "Ever Hospitalized" number. "Ever Hospitalized" refers to the cumulative number of individuals who were admitted to the hospital at some point during their COVID-19 illness.

    Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  3. d

    MD COVID-19 - Total Currently Hospitalized - Acute and ICU

    • datasets.ai
    • opendata.maryland.gov
    • +1more
    23, 40, 55, 8
    Updated Nov 10, 2020
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    State of Maryland (2020). MD COVID-19 - Total Currently Hospitalized - Acute and ICU [Dataset]. https://datasets.ai/datasets/md-covid-19-total-currently-hospitalized-acute-and-icu
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    8, 23, 55, 40Available download formats
    Dataset updated
    Nov 10, 2020
    Dataset authored and provided by
    State of Maryland
    Area covered
    Maryland
    Description

    NOTE: This dataset is no longer being updated as of 4/27/2023. It is retired and no longer included in public COVID-19 data dissemination.

    See this link for more information https://imap.maryland.gov/pages/covid-data

    Summary The daily occupancy number of COVID-19 designated hospital beds in Maryland.

    Description The MD COVID-19 - Total Currently Hospitalized - Acute and ICU data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day via CRISP as currently occupying a COVID-19 bed in a Maryland hospital facility. MD COVID-19 - Total Currently Hospitalized comprises two subsets: Adult Acute Care Beds and Adult ICU Beds.

    Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  4. M

    COVID19 Total Hospitalizations - Maryland

    • catalog.midasnetwork.us
    Updated Jan 13, 2022
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    Maryland Department of Health (2022). COVID19 Total Hospitalizations - Maryland [Dataset]. https://catalog.midasnetwork.us/collection/203
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    Dataset updated
    Jan 13, 2022
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Maryland Department of Health
    License

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

    Time period covered
    Mar 13, 2020 - Jan 13, 2022
    Area covered
    State, Maryland
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, Population count, infectious disease, hospital stay dataset, viral Infectious disease, and 3 more
    Dataset funded by
    National Institute of General Medical Scienceshttps://www.nigms.nih.gov/
    Description

    The dataset comprises of the collection of the statewide cumulative total of Maryland individuals (or residents) who tested positive for COVID-19 that have been reported each day by each local health department as having been hospitalized. As published to coronavirus.maryland.gov, this is the "Ever Hospitalized" number. "Ever Hospitalized" refers to the cumulative number of individuals who were admitted to the hospital at some point during their COVID-19 illness. The dataset can be downloaded and viewed in a CSV file format.

  5. d

    MDCOVID-19 Total Currently Hospitalized Adult and Pediatric Acute and ICU

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Oct 18, 2025
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    opendata.maryland.gov (2025). MDCOVID-19 Total Currently Hospitalized Adult and Pediatric Acute and ICU [Dataset]. https://catalog.data.gov/dataset/mdcovid-19-total-currently-hospitalized-adult-and-pediatric-acute-and-icu
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    Dataset updated
    Oct 18, 2025
    Dataset provided by
    opendata.maryland.gov
    Description

    Note Note: Starting October 10th, 2025 this dataset is deprecated and is no longer being updated. Summary The daily occupancy number of COVID-19 designated hospital beds in Maryland. Description The MD COVID-19 - Total Currently Hospitalized - Acute and ICU data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day via CRISP as currently occupying a COVID-19 bed in a Maryland hospital facility. MD COVID-19 - Total Currently Hospitalized comprises four subsets: Adult Acute Care Beds, Adult ICU Beds Pediatrics Acute Care Beds and Pediatrics ICU Care Beds.

  6. y

    Maryland Coronavirus Cases Currently Hospitalized

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

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

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

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

  7. MD COVID-19 - Total Hospitalizations - rcy9-5djq - Archive Repository

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 25, 2023
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    (2023). MD COVID-19 - Total Hospitalizations - rcy9-5djq - Archive Repository [Dataset]. https://healthdata.gov/dataset/MD-COVID-19-Total-Hospitalizations-rcy9-5djq-Archi/it8c-k5z8
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    This dataset tracks the updates made on the dataset "MD COVID-19 - Total Hospitalizations" as a repository for previous versions of the data and metadata.

  8. MD COVID-19 Total Currently Hospitalized Adult and Pediatric Acute and ICU -...

    • healthdata.gov
    csv, xlsx, xml
    Updated Apr 8, 2025
    + more versions
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    (2025). MD COVID-19 Total Currently Hospitalized Adult and Pediatric Acute and ICU - jpv3-byab - Archive Repository [Dataset]. https://healthdata.gov/dataset/MD-COVID-19-Total-Currently-Hospitalized-Adult-and/ig52-pbru
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Apr 8, 2025
    Description

    This dataset tracks the updates made on the dataset "MD COVID-19 Total Currently Hospitalized Adult and Pediatric Acute and ICU" as a repository for previous versions of the data and metadata.

  9. m

    MDCOVID19 TotalCurrentlyHospitalized AdultandPediatric AcuteAndICU

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +1more
    Updated Oct 8, 2021
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    ArcGIS Online for Maryland (2021). MDCOVID19 TotalCurrentlyHospitalized AdultandPediatric AcuteAndICU [Dataset]. https://data.imap.maryland.gov/datasets/maryland::mdcovid19-totalcurrentlyhospitalized-adultandpediatric-acuteandicu/about
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    Dataset updated
    Oct 8, 2021
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    Notice:Starting October 10th, 2025 this dataset is deprecated and is no longer being updated. Please refer to the Open Data resource at https://data.maryland.gov/Health-and-Human-Services/COVID-Master-Tracker/37gh-4yqf for continued weekly updates. SummaryThe daily occupancy number of COVID-19 designated hospital beds in Maryland.DescriptionThe MD COVID-19 - Total Currently Hospitalized - Acute and ICU data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day via CRISP as currently occupying a COVID-19 bed in a Maryland hospital facility. MD COVID-19 - Total Currently Hospitalized comprises four subsets: Adult Acute Care Beds, Adult ICU Beds Pediatrics Acute Care Beds and Pediatrics ICU Care Beds.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  10. u

    Data from: Randomized Controlled Trial of Losartan for Patients With...

    • investigacion.usc.gal
    Updated 2021
    + more versions
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    University of Minnesota; Michael A. Puskarich, MD, MS; Nicholas E. Ingraham, MD; Lisa H. Merck,MD, MPH; Brian E. Driver, MD; David A. Wacker, MD, PhD; Lauren Page Black, MD, MPH; Alan E. Jones; Courtney V. Fletcher; Andrew C. Nelson, MD, PhD; Thomas A. Murray, PhD; Christopher J. Tignanelli, MD, MS; Christopher Lewandowski, MD; Joseph Farhat, MD; Justin L. Benoit, MD, MS, FAEMS; Dana Byrne, MD; Alex Hall, DHSc; Ronald A. Reilkoff, MD; Michelle H. Biros, MD, MS; Kartik Cherabuddi, MD; Jeffrey G. Chipman, MD; Timothy W. Schacker, MD; Tyler Bold, MD, PhD; Kenneth Beckman, PhD; Ryan Langlois, Ph.D; Matthew T. Aliota, Ph.D; Faheem W. Guirgis, MD; James Galbriath; Margaret Beyer, BS; Chas Salmen, MD; Brian W. Roberts; David W. Wright, MD; Helen T. Voelker; University of Minnesota; Michael A. Puskarich, MD, MS; Nicholas E. Ingraham, MD; Lisa H. Merck,MD, MPH; Brian E. Driver, MD; David A. Wacker, MD, PhD; Lauren Page Black, MD, MPH; Alan E. Jones; Courtney V. Fletcher; Andrew C. Nelson, MD, PhD; Thomas A. Murray, PhD; Christopher J. Tignanelli, MD, MS; Christopher Lewandowski, MD; Joseph Farhat, MD; Justin L. Benoit, MD, MS, FAEMS; Dana Byrne, MD; Alex Hall, DHSc; Ronald A. Reilkoff, MD; Michelle H. Biros, MD, MS; Kartik Cherabuddi, MD; Jeffrey G. Chipman, MD; Timothy W. Schacker, MD; Tyler Bold, MD, PhD; Kenneth Beckman, PhD; Ryan Langlois, Ph.D; Matthew T. Aliota, Ph.D; Faheem W. Guirgis, MD; James Galbriath; Margaret Beyer, BS; Chas Salmen, MD; Brian W. Roberts; David W. Wright, MD; Helen T. Voelker (2021). Randomized Controlled Trial of Losartan for Patients With COVID-19 Requiring Hospitalization [Dataset]. https://investigacion.usc.gal/documentos/67a9c7ad19544708f8c6f808
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    Dataset updated
    2021
    Authors
    University of Minnesota; Michael A. Puskarich, MD, MS; Nicholas E. Ingraham, MD; Lisa H. Merck,MD, MPH; Brian E. Driver, MD; David A. Wacker, MD, PhD; Lauren Page Black, MD, MPH; Alan E. Jones; Courtney V. Fletcher; Andrew C. Nelson, MD, PhD; Thomas A. Murray, PhD; Christopher J. Tignanelli, MD, MS; Christopher Lewandowski, MD; Joseph Farhat, MD; Justin L. Benoit, MD, MS, FAEMS; Dana Byrne, MD; Alex Hall, DHSc; Ronald A. Reilkoff, MD; Michelle H. Biros, MD, MS; Kartik Cherabuddi, MD; Jeffrey G. Chipman, MD; Timothy W. Schacker, MD; Tyler Bold, MD, PhD; Kenneth Beckman, PhD; Ryan Langlois, Ph.D; Matthew T. Aliota, Ph.D; Faheem W. Guirgis, MD; James Galbriath; Margaret Beyer, BS; Chas Salmen, MD; Brian W. Roberts; David W. Wright, MD; Helen T. Voelker; University of Minnesota; Michael A. Puskarich, MD, MS; Nicholas E. Ingraham, MD; Lisa H. Merck,MD, MPH; Brian E. Driver, MD; David A. Wacker, MD, PhD; Lauren Page Black, MD, MPH; Alan E. Jones; Courtney V. Fletcher; Andrew C. Nelson, MD, PhD; Thomas A. Murray, PhD; Christopher J. Tignanelli, MD, MS; Christopher Lewandowski, MD; Joseph Farhat, MD; Justin L. Benoit, MD, MS, FAEMS; Dana Byrne, MD; Alex Hall, DHSc; Ronald A. Reilkoff, MD; Michelle H. Biros, MD, MS; Kartik Cherabuddi, MD; Jeffrey G. Chipman, MD; Timothy W. Schacker, MD; Tyler Bold, MD, PhD; Kenneth Beckman, PhD; Ryan Langlois, Ph.D; Matthew T. Aliota, Ph.D; Faheem W. Guirgis, MD; James Galbriath; Margaret Beyer, BS; Chas Salmen, MD; Brian W. Roberts; David W. Wright, MD; Helen T. Voelker
    Description

    This is a multi-center, double-blinded study of COVID-19 infected patients requiring inpatient hospital admission randomized 1:1 to daily Losartan or placebo for 7 days or hospital discharge.

  11. a

    MDCOVID19 TotalNumberReleasedFromIsolation

    • data-maryland.opendata.arcgis.com
    • data.imap.maryland.gov
    • +2more
    Updated May 22, 2020
    + more versions
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    ArcGIS Online for Maryland (2020). MDCOVID19 TotalNumberReleasedFromIsolation [Dataset]. https://data-maryland.opendata.arcgis.com/datasets/02cc59cfe5144cdc9844859615ecc412
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of COVID-19 positive Maryland residents who have been released from home isolation.DescriptionThe MD COVID-19 - Total Number Released from Isolation data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day by each local health department via the ESSENCE system as having been released from home isolation. As "recovery" can mean different things as people experience COVID-19 disease to varying degrees of severity, MDH reports on individuals released from isolation. "Released from isolation" refers to those who have met criteria and are well enough to be released from home isolation. Some of these individuals may have been hospitalized at some point.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  12. V

    Dataset from Randomized Controlled Trial of Losartan for Patients With...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    Updated Feb 22, 2025
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    University of Minnesota; Christopher Tignanelli, MD; Michael Puskarich, MD, MS (2025). Dataset from Randomized Controlled Trial of Losartan for Patients With COVID-19 Requiring Hospitalization [Dataset]. http://doi.org/10.25934/00007230
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    University of Minnesota
    Authors
    University of Minnesota; Christopher Tignanelli, MD; Michael Puskarich, MD, MS
    Area covered
    United States
    Variables measured
    Dyspnea, Mortality, Viral load, Hypotensive, Renal injury, Intensive Care, Hospitalization, Oxygen Saturation, Respiratory Failure, Oxygen Therapy System, and 6 more
    Description

    This is a multi-center, double-blinded study of COVID-19 infected patients requiring inpatient hospital admission randomized 1:1 to daily Losartan or placebo for 7 days or hospital discharge.

  13. Table_1_Equity evaluation of intensive care unit admission based on...

    • frontiersin.figshare.com
    docx
    Updated Oct 28, 2024
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    Yang-Jie Zhu; Jia-Yue Wang; Chen-Nan Wu; Bo-Yang Yu; Tong-Tong Liu; Yuan Liu; Lu-Lu Zhang (2024). Table_1_Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis.docx [Dataset]. http://doi.org/10.3389/fpubh.2024.1430462.s001
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    docxAvailable download formats
    Dataset updated
    Oct 28, 2024
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Yang-Jie Zhu; Jia-Yue Wang; Chen-Nan Wu; Bo-Yang Yu; Tong-Tong Liu; Yuan Liu; Lu-Lu Zhang
    License

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

    Description

    BackgroundIntensive care unit (ICU) beds played a crucial role in reducing mortality rates of patients with severe COVID-19. The surge in the number of patients led to a shortage of ICU beds, which may have exacerbated inequity of healthcare utilization. However, most attention has been focused on the horizontal equity in healthcare utilization, where individuals with the same needs receive the same services. Vertical equity, where individuals with higher needs receive more healthcare is often neglected, which might overestimate the equity. This study analyzes the vertical equity of ICU utilization among hospitalized patients with COVID-19.MethodsIn total, 18,547 hospitalized patients with COVID-19 in Maryland in 2020 were enrolled in this cross-sectional study. Logistic regression analysis was conducted to determine the independent factors affecting ICU utilization, and the Shapley value decomposition approach was implemented to assess the contribution of the independent variables to disparities in ICU admission. A concentration curve and concentration index were used to assess the vertical equity in healthcare utilization.ResultsICU utilization by patients with COVID-19 was significantly affected by Charlson Comorbidity Index (CCI), with odds ratios (OR) 1.09 [95% confidence intervals (CI): 1.07–1.10; p 

  14. Z

    A Randomized, Double Blinded, Placebo-Controlled Clinical Trial Evaluating...

    • data.niaid.nih.gov
    Updated Feb 2, 2022
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    Mila B. Ortigoza, MD, PhD; Hyunah Yoon, MD; Keith S Goldfeld, DrPH; Gia F Cobb, MA; Liise-anne Pirofski, MD; for the CONTAIN Study Group (2022). A Randomized, Double Blinded, Placebo-Controlled Clinical Trial Evaluating the Efficacy and Safety of anti-SARS-CoV-2 Convalescent Plasma in Hospitalized Patients (CONTAIN COVID-19) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5652142
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    Dataset updated
    Feb 2, 2022
    Dataset provided by
    Division of Infectious Disease, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
    Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
    Division of Infectious Disease, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
    Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
    Authors
    Mila B. Ortigoza, MD, PhD; Hyunah Yoon, MD; Keith S Goldfeld, DrPH; Gia F Cobb, MA; Liise-anne Pirofski, MD; for the CONTAIN Study Group
    Description

    This dataset contains de-identified patient data of 941 patients from 21 centers across the United States who were enrolled in the CONTAIN COVID-19 randomized controlled trial that ran from 4/17/2020-3/15/2021. The information in this dataset was used to conduct the analysis reported in the CONTAIN COVID-19 manuscript published in JAMA Internal Medicine (doi: 10.1001/jamainternmed.2021.6850) and includes demographic information, baseline history, baseline medications, baseline laboratory values, clinical status based on the WHO 11-point scale at 14 and 28 days after randomization, antibody titers, randomization arms.

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

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opendata.maryland.gov (2025). MD COVID-19 - MASTER Case Tracker [Dataset]. https://catalog.data.gov/dataset/md-covid-19-master-case-tracker

MD COVID-19 - MASTER Case Tracker

Explore at:
Dataset updated
Oct 25, 2025
Dataset provided by
opendata.maryland.gov
Area covered
Maryland
Description

Note:This dataset represents archived records covering the period from March 2020 through October 2025. The most recent dataset, containing data from October 2025 to the present, is available at: https://data.maryland.gov/Health-and-Human-Services/COVID-Master-Tracker/37gh-4yqf/about_data Summary The cases, tests, positivity rates, hospitalizations, and confirmed and probable deaths for COVID-19 in Maryland. Description The MD COVID-19 - MASTER Case Tracker is a collection of Total Cases, Total Tests, Postivity Rates, Persons Tested Negative, Total Daily Hospital Beds, Total Ever Hospitalized, Total Persons Documented to Have Completed Home Isolation, Cases by County, Cases by Age Distribution, Cases by Gender Distribution, Cases by Race and Ethnicity Distribution, Confirmed Deaths Statewide, Confirmed Deaths by Date of Death, Confirmed Deaths by County, Confirmed Deaths by Age Distribution, Confirmed Deaths by Gender Distribution, Confirmed Deaths by Race And Ethnicity Distribution, Probable Deaths Statewide, Probable Deaths by Date of Death, Probable Deaths by County, Probable Deaths by Age Distribution, Probable Deaths by Gender Distribution, and Probable Deaths by Race And Ethnicity Distribution. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

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