100+ datasets found
  1. Preliminary 2024-2025 U.S. COVID-19 Burden Estimates

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    csv, xlsx, xml
    Updated Sep 26, 2025
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    Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD). (2025). Preliminary 2024-2025 U.S. COVID-19 Burden Estimates [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Preliminary-2024-2025-U-S-COVID-19-Burden-Estimate/ahrf-yqdt
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset provided by
    National Center for Immunization and Respiratory Diseases
    Authors
    Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD).
    License

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

    Description

    This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

    Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

    References

    1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
    2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
    3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
    4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
    5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
    6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413
    7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
    8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
    9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
    10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
    11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

  2. COVID-19 cases and deaths in Colombia 2025

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). COVID-19 cases and deaths in Colombia 2025 [Dataset]. https://www.statista.com/statistics/1288290/colombia-covid-19-cases-deaths/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 8, 2020 - May 11, 2025
    Area covered
    Colombia
    Description

    As of May 11, 2025, Colombia reached 6.4 million cases of COVID-19, and approximately 143,000 deaths caused by the disease. Within Latin America, Colombia is the fourth most affected country by number of cases, after Brazil, Argentina, and Mexico. The first positive case of COVID-19 in Colombia was registered on March 8, 2020, and the first reported deaths were confirmed on March 23, 2020.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  3. COVID-19 cases and deaths in Argentina 2025

    • statista.com
    Updated May 12, 2025
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    Statista (2025). COVID-19 cases and deaths in Argentina 2025 [Dataset]. https://www.statista.com/statistics/1286592/argentina-covid-19-cases-deaths/
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    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 5, 2020 - May 11, 2025
    Area covered
    Argentina
    Description

    With over ten million confirmed cases and more than 130,000 deaths reported as of May 11, 2025, Argentina is one of the most affected Latin American countries by the COVID-19 pandemic. The first positive cases and deaths related to the disease in Argentina were announced at the beginning of March 2020. Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  4. T

    CORONAVIRUS DEATH by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 14, 2021
    + more versions
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    TRADING ECONOMICS (2021). CORONAVIRUS DEATH by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/coronavirus-death
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Aug 14, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for CORONAVIRUS DEATH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  5. COVID-19 deaths in Latin America 2025, by country

    • statista.com
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    Statista, COVID-19 deaths in Latin America 2025, by country [Dataset]. https://www.statista.com/statistics/1103965/latin-america-caribbean-coronavirus-deaths/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America
    Description

    As of May 11, 2025, nearly 1.8 million people have died due COVID-19 in Latin America and the Caribbean. The country with the highest number was Brazil, reporting around 700,000 deaths. As a result of the pandemic, Brazil's GDP was forecast to decline by approximately six percent in 2020. Meanwhile, Mexico ranked second in number of deaths, with approximately 335 thousand occurrences. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  6. T

    World Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    + more versions
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    TRADING ECONOMICS (2020). World Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/world/coronavirus-deaths
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    World
    Description

    The World Health Organization reported 6932591 Coronavirus Deaths since the epidemic began. In addition, countries reported 766440796 Coronavirus Cases. This dataset provides - World Coronavirus Deaths- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. m

    COVID-19 reporting

    • mass.gov
    Updated Mar 4, 2020
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    Executive Office of Health and Human Services (2020). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting
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    Dataset updated
    Mar 4, 2020
    Dataset provided by
    Department of Public Health
    Executive Office of Health and Human Services
    Area covered
    Massachusetts
    Description

    The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

  8. T

    CORONAVIRUS DEATHS by Country in AMERICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 18, 2020
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    TRADING ECONOMICS (2020). CORONAVIRUS DEATHS by Country in AMERICA [Dataset]. https://tradingeconomics.com/country-list/coronavirus-deaths?continent=america
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Apr 18, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    United States
    Description

    This dataset provides values for CORONAVIRUS DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. COVID-19 cases and deaths in Chile 2025

    • statista.com
    Updated May 12, 2025
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    Statista (2025). COVID-19 cases and deaths in Chile 2025 [Dataset]. https://www.statista.com/statistics/1107189/chile-covid-19-cases-deaths/
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    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Chile
    Description

    With more than five million confirmed cases and close to 62,872 deaths reported as of May 11, 2025, Chile is one of the most affected Latin American countries by the coronavirus pandemic. The first positive case of COVID-19 in Chile was registered on March 1, 2020.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  10. COVID-19 cases and deaths in Mexico 2025

    • statista.com
    Updated May 12, 2025
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    Statista (2025). COVID-19 cases and deaths in Mexico 2025 [Dataset]. https://www.statista.com/statistics/1107063/mexico-covid-19-cases-deaths/
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    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Mexico
    Description

    The first case of COVID-19 in Mexico was detected on March 1, 2020. By the end of the year, the total number of confirmed infections had surpassed 1.4 million. Meanwhile, the number of deaths related to the disease was nearing 148,000. On May 11, 2025, the number of cases recorded had reached 7.6 million, while the number of deaths amounted to around 335,000. The relevance of the Omicron variant Omicron, a highly contagious COVID-19 variant, was declared of concern by the World Health Organization (WHO) at the end of November 2021. As the pandemic unfolded, it became the variant with the highest share of COVID-19 cases in the world. In Latin America, countries such as Colombia, Argentina, Brazil, and Mexico were strongly affected. In fact, by 2023 nearly all analyzed sequences within these countries corresponded to an Omicron subvariant. Beyond a health crisis As the COVID-19 pandemic progressed worldwide, the respiratory disease caused by the virus SARS-CoV-2 virus first detected in Wuhan brought considerable economic consequences for countries and households. While Mexico’s gross domestic product (GDP) in current prices declined in 2020 compared to the previous year, a survey conducted among adults during the first months of 2021 showed COVID-19 impacted families mainly through finances and employment, with around one third of households in Mexico reporting an income reduction and the same proportion having at least one household member suffering from the disease.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  11. O

    Deaths with COVID-19 by age group

    • data.sccgov.org
    csv, xlsx, xml
    Updated Dec 14, 2024
    + more versions
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    Public Health Department (2024). Deaths with COVID-19 by age group [Dataset]. https://data.sccgov.org/w/pg8z-gbgv/default?cur=9ws5PtrYPjC
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Dec 14, 2024
    Dataset authored and provided by
    Public Health Department
    Description

    *** The County of Santa Clara Public Health Department discontinued updates to the COVID-19 data tables effective June 30, 2025. The COVID-19 data tables will be removed from the Open Data Portal on December 30, 2025. For current information on COVID-19 in Santa Clara County, please visit the Respiratory Virus Dashboard [sccphd.org/respiratoryvirusdata]. For any questions, please contact phinternet@phd.sccgov.org ***

    The dataset provides information about characteristics of deaths with COVID-19 by age groups among Santa Clara County residents. Source: California Reportable Disease Information Exchange

    This table is updated every Friday.

  12. N

    Confirmed COVID-19 Case and Hospitalization Counts

    • data.cityofnewyork.us
    csv, xlsx, xml
    Updated Dec 1, 2025
    + more versions
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    Department of Health and Mental Hygiene (DOHMH) (2025). Confirmed COVID-19 Case and Hospitalization Counts [Dataset]. https://data.cityofnewyork.us/Health/Confirmed-COVID-19-Case-and-Hospitalization-Counts/3w37-3kr9
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Dec 1, 2025
    Authors
    Department of Health and Mental Hygiene (DOHMH)
    Description

    Daily count of NYC residents who tested positive for SARS-CoV-2, who were hospitalized with COVID-19, and deaths among COVID-19 patients.

    Note that this dataset currently pulls from https://raw.githubusercontent.com/nychealth/coronavirus-data/master/case-hosp-death.csv on a daily basis.

  13. Worldwide COVID-19 Data from WHO (2025 Edition)

    • kaggle.com
    zip
    Updated Nov 2, 2025
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    Adil Shamim (2025). Worldwide COVID-19 Data from WHO (2025 Edition) [Dataset]. https://www.kaggle.com/datasets/adilshamim8/worldwide-covid-19-data-from-who/versions/40
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    zip(4078955 bytes)Available download formats
    Dataset updated
    Nov 2, 2025
    Authors
    Adil Shamim
    Description

    Dataset Overview

    This dataset contains global COVID-19 case and death data by country, collected directly from the official World Health Organization (WHO) COVID-19 Dashboard. It provides a comprehensive view of the pandemic’s impact worldwide, covering the period up to 2025. The dataset is intended for researchers, analysts, and anyone interested in understanding the progression and global effects of COVID-19 through reliable, up-to-date information.

    Source Information

    • Website: WHO COVID-19 Dashboard
    • Organization: World Health Organization (WHO)
    • Data Coverage: Global (by country/territory)
    • Time Period: Up to 2025

    The World Health Organization is the United Nations agency responsible for international public health. The WHO COVID-19 Dashboard is a trusted source that aggregates official reports from countries and territories around the world, providing daily updates on cases, deaths, and other key metrics related to COVID-19.

    Dataset Contents

    • Country/Region: The name of the country or territory.
    • Date: Reporting date.
    • New Cases: Number of new confirmed COVID-19 cases.
    • Cumulative Cases: Total confirmed COVID-19 cases to date.
    • New Deaths: Number of new confirmed deaths due to COVID-19.
    • Cumulative Deaths: Total deaths reported to date.
    • Additional fields may include population, rates per 100,000, and more (see data files for details).

    How to Use

    This dataset can be used for: - Tracking the spread and trends of COVID-19 globally and by country - Modeling and forecasting pandemic progression - Comparative analysis of the pandemic’s impact across countries and regions - Visualization and reporting

    Data Reliability

    The data is sourced from the WHO, widely regarded as the most authoritative source for global health statistics. However, reporting practices and data completeness may vary by country and may be subject to revision as new information becomes available.

    Acknowledgements

    Special thanks to the WHO for making this data publicly available and to all those working to collect, verify, and report COVID-19 statistics.

  14. O

    MD COVID-19 - Total Confirmed Deaths by Date of Death

    • opendata.maryland.gov
    • healthdata.gov
    • +4more
    csv, xlsx, xml
    Updated Oct 7, 2025
    + more versions
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    Maryland Department of Health Vital Statistics Administration, MDH VSA (2025). MD COVID-19 - Total Confirmed Deaths by Date of Death [Dataset]. https://opendata.maryland.gov/Health-and-Human-Services/MD-COVID-19-Total-Confirmed-Deaths-by-Date-of-Deat/65qq-j35q
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Maryland Department of Health Vital Statistics Administration, MDH VSA
    License

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

    Area covered
    Maryland
    Description

    Note: Note: Starting October 10th, 2025 this dataset is deprecated and is no longer being updated. As of April 27, 2023 updates changed from daily to weekly.

    Summary The cumulative number of confirmed COVID-19 deaths among Maryland residents, by date of death.

    Description The MD COVID-19 - Total Confirmed Deaths by Date of Death data layer is a collection of the statewide confirmed COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by date of death. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Probable deaths are available from the MD COVID-19 - Total Probable Deaths by Date of Death data layer.

    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.

  15. Coronavirus (COVID-19) active case, recoveries, deaths in Italy as of...

    • statista.com
    Updated Jan 10, 2025
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    Statista (2025). Coronavirus (COVID-19) active case, recoveries, deaths in Italy as of January 2025 [Dataset]. https://www.statista.com/statistics/1102808/coronavirus-cases-by-status-italy/
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    Italy
    Description

    As of January 1, 2025, the total number of coronavirus (COVID-19) cases in Italy amounted to over 26.9 million, approximately 218,000 of which were active cases. Moreover, the number of people who recovered or were discharged from hospital after contracting the virus reached over 26.5 million, while the number of deceased was equal to 198,638. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  16. d

    MD COVID-19 - MASTER Case Tracker

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Oct 25, 2025
    + more versions
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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.

  17. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and...

    • healthdata.gov
    • odgavaprod.ogopendata.com
    • +1more
    csv, xlsx, xml
    Updated Jun 16, 2023
    + more versions
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    data.cdc.gov (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose [Dataset]. https://healthdata.gov/CDC/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/4tut-jeki
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    data.cdc.gov
    Description

    Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

    Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

    Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases

  18. D

    Provisional Death Counts for Influenza, Pneumonia, and COVID-19

    • data.cdc.gov
    • data.virginia.gov
    • +4more
    csv, xlsx, xml
    Updated Nov 2, 2023
    + more versions
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    NCHS/DVS (2023). Provisional Death Counts for Influenza, Pneumonia, and COVID-19 [Dataset]. https://data.cdc.gov/National-Center-for-Health-Statistics/Provisional-Death-Counts-for-Influenza-Pneumonia-a/ynw2-4viq
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Nov 2, 2023
    Dataset authored and provided by
    NCHS/DVS
    License

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

    Description

    Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.

  19. m

    Global COVID-19 Statistics - Jan-2025

    • data.mendeley.com
    Updated Jan 15, 2025
    + more versions
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    Shuvo Kumar Basak Shuvo (2025). Global COVID-19 Statistics - Jan-2025 [Dataset]. http://doi.org/10.17632/82wn58ry9p.2
    Explore at:
    Dataset updated
    Jan 15, 2025
    Authors
    Shuvo Kumar Basak Shuvo
    License

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

    Description

    This dataset, titled "Global COVID-19 Statistics - Jan 2025," contains the latest COVID-19 statistics collected from the Worldometer website on Jan 09, 2025. The data includes crucial metrics such as the total number of cases, deaths, recoveries, and active cases for countries around the world. The information is extracted from the comprehensive table provided by Worldometer, which is widely regarded as a reliable source for real-time coronavirus statistics. Source and Collection Date Source: Worldometer Coronavirus Page Date of Collection: Jan 09, 2025

  20. COVID-19 cases and deaths in Brazil 2020-2025

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). COVID-19 cases and deaths in Brazil 2020-2025 [Dataset]. https://www.statista.com/statistics/1107028/brazil-covid-19-cases-deaths/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Brazil
    Description

    COVID-19 was first detected in Brazil on March 1, 2020, making it the first Latin American country to report a case of the novel coronavirus. Since then, the number of infections has risen drastically, reaching approximately 38 million cases by May 11, 2025. Meanwhile, the first local death due to the disease was reported in March 19, 2020. Four years later, the number of fatal cases had surpassed 700,000. The highest COVID-19 death toll in Latin America With a population of more than 211 million inhabitants as of 2023, Brazil is the most populated country in Latin America. This nation is also among the most affected by COVID-19 in number of deaths, not only within the Latin American region, but also worldwide, just behind the United States. These figures have raised a debate on how the Brazilian government has dealt with the pandemic. In fact, according to a study carried out in May 2021, more than half of Brazilians surveyed disapproved of the way in which former president Jair Bolsonaro had been dealing with the health crisis. In comparison, a third of respondents had a similar opinion about the Ministry of Health. Brazil’s COVID-19 vaccination campaign rollout Brazil’s vaccination campaign started at the beginning of 2021, when a nurse from São Paulo became the first person in the country to get vaccinated against the disease. A few years later, roughly 88 percent of the Brazilian population had received at least one vaccine dose, while around 81 percent had already completed the basic immunization scheme. With more than 485.2 million vaccines administered as of March 2023, Brazil was the fourth country with the most administered doses of the COVID-19 vaccine globally, after China, India, and the United States.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

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Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD). (2025). Preliminary 2024-2025 U.S. COVID-19 Burden Estimates [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Preliminary-2024-2025-U-S-COVID-19-Burden-Estimate/ahrf-yqdt
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Preliminary 2024-2025 U.S. COVID-19 Burden Estimates

Explore at:
xlsx, csv, xmlAvailable download formats
Dataset updated
Sep 26, 2025
Dataset provided by
National Center for Immunization and Respiratory Diseases
Authors
Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD).
License

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

Description

This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

References

  1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
  2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
  3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
  4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
  5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
  6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413
  7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
  8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
  9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
  10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
  11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

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