100+ datasets found
  1. g

    Coronavirus COVID-19 Global Cases by the Center for Systems Science and...

    • github.com
    • systems.jhu.edu
    • +1more
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    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE), Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) [Dataset]. https://github.com/CSSEGISandData/COVID-19
    Explore at:
    Dataset provided by
    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
    Area covered
    Global
    Description

    2019 Novel Coronavirus COVID-19 (2019-nCoV) Visual Dashboard and Map:
    https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    • Confirmed Cases by Country/Region/Sovereignty
    • Confirmed Cases by Province/State/Dependency
    • Deaths
    • Recovered

    Downloadable data:
    https://github.com/CSSEGISandData/COVID-19

    Additional Information about the Visual Dashboard:
    https://systems.jhu.edu/research/public-health/ncov

  2. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

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

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

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

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

  3. i

    Coronavirus (COVID-19) Tweets Dataset

    • ieee-dataport.org
    • search.datacite.org
    • +1more
    Updated May 7, 2025
    + more versions
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    Rabindra Lamsal (2025). Coronavirus (COVID-19) Tweets Dataset [Dataset]. https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-dataset
    Explore at:
    Dataset updated
    May 7, 2025
    Authors
    Rabindra Lamsal
    License

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

    Description

    2020

  4. [DEPRECATED] Données relatives au coronavirus COVID-19

    • data.europa.eu
    csv, excel xlsx, html +3
    Updated Dec 14, 2020
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    European Centre for Disease Prevention and Control (2020). [DEPRECATED] Données relatives au coronavirus COVID-19 [Dataset]. https://data.europa.eu/data/datasets/covid-19-coronavirus-data?locale=fr
    Explore at:
    json, excel xlsx, rss feed, html, xml, csvAvailable download formats
    Dataset updated
    Dec 14, 2020
    Dataset provided by
    European Centre for Disease Prevention and Control (ECDC)http://ecdc.europa.eu/
    Authors
    European Centre for Disease Prevention and Control
    License

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

    Description
  5. o

    Coronavirus COVID-19 global cases by Johns Hopkins CSSE

    • data.opendevelopmentmekong.net
    Updated Mar 5, 2020
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    (2020). Coronavirus COVID-19 global cases by Johns Hopkins CSSE [Dataset]. https://data.opendevelopmentmekong.net/dataset/coronavirus-covid-19-global-cases-by-johns-hopkins
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    Dataset updated
    Mar 5, 2020
    Description

    This interactive web-based dashboard hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, to visualize and track reported cases in real-time. The dashboard, first shared publicly on 22nd January 2020, illustrates the location and number of confirmed Coronavirus COVID-19 cases, deaths and recoveries for all affected countries.

  6. e

    Coronavirus COVID-19 Cases

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Feb 6, 2020
    + more versions
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    CSSE_covid19 (2020). Coronavirus COVID-19 Cases [Dataset]. https://coronavirus-resources.esri.com/maps/bbb2e4f589ba40d692fab712ae37b9ac
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    Dataset updated
    Feb 6, 2020
    Dataset authored and provided by
    CSSE_covid19
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and the latest trend plot. It covers the US (county or state level), China, Canada, Australia (province/state level), and the rest of the world (country/region level, represented by either the country centroids or their capitals). Data sources are WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, the COVID Tracking Project (testing and hospitalizations), state and national government health departments, and local media reports. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team, JHU APL and JHU Data Services. This layer is opened to the public and free to share. Contact us.

  7. d

    Fighting Coronavirus/COVID-19 with Public Health Data

    • catalog.data.gov
    • data.tempe.gov
    • +2more
    Updated Mar 18, 2023
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    City of Tempe (2023). Fighting Coronavirus/COVID-19 with Public Health Data [Dataset]. https://catalog.data.gov/dataset/fighting-coronavirus-covid-19-with-public-health-data-1cf8a
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    Dataset updated
    Mar 18, 2023
    Dataset provided by
    City of Tempe
    Description

    This story map explores the partnership between the City of Tempe and Arizona State University to study city wastewater for Coronavirus/COVID-19. Featured sections include:What is Coronavirus/COVID-19Analyzing Wastewater DataData-Driven Decision MakingWhat You Can DoFrequently Asked Questions Important ContactsPlease also see the Spanish language version.

  8. COVID-19 Case Surveillance Public Use Data

    • data.cdc.gov
    • opendatalab.com
    • +6more
    application/rdfxml +5
    Updated Jul 9, 2024
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    CDC Data, Analytics and Visualization Task Force (2024). COVID-19 Case Surveillance Public Use Data [Dataset]. https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf
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    application/rdfxml, tsv, csv, json, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jul 9, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Data, Analytics and Visualization Task Force
    License

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

    Description

    Note: Reporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.

    Authorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.

    This case surveillance public use dataset has 12 elements for all COVID-19 cases shared with CDC and includes demographics, any exposure history, disease severity indicators and outcomes, presence of any underlying medical conditions and risk behaviors, and no geographic data.

    CDC has three COVID-19 case surveillance datasets:

    The following apply to all three datasets:

    Overview

    The COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the Nationally Notifiable Condition List and classified as “immediately notifiable, urgent (within 24 hours)” by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (Interim-20-ID-01). CSTE updated the position statement on August 5, 2020, to clarify the interpretation of antigen detection tests and serologic test results within the case classification (Interim-20-ID-02). The statement also recommended that all states and territories enact laws to make COVID-19 reportable in their jurisdiction, and that jurisdictions conducting surveillance should submit case notifications to CDC. COVID-19 case surveillance data are collected by jurisdictions and reported voluntarily to CDC.

    For more information: NNDSS Supports the COVID-19 Response | CDC.

    The deidentified data in the “COVID-19 Case Surveillance Public Use Data” include demographic characteristics, any exposure history, disease severity indicators and outcomes, clinical data, laboratory diagnostic test results, and presence of any underlying medical conditions and risk behaviors. All data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.

    COVID-19 Case Reports

    COVID-19 case reports have been routinely submitted using nationally standardized case reporting forms. On April 5, 2020, CSTE released an Interim Position Statement with national surveillance case definitions for COVID-19 included. Current versions of these case definitions are available here: https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/.

    All cases reported on or after were requested to be shared by public health departments to CDC using the standardized case definitions for laboratory-confirmed or probable cases. On May 5, 2020, the standardized case reporting form was revised. Case reporting using this new form is ongoing among U.S. states and territories.

    Data are Considered Provisional

    • The COVID-19 case surveillance data are dynamic; case reports can be modified at any time by the jurisdictions sharing COVID-19 data with CDC. CDC may update prior cases shared with CDC based on any updated information from jurisdictions. For instance, as new information is gathered about previously reported cases, health departments provide updated data to CDC. As more information and data become available, analyses might find changes in surveillance data and trends during a previously reported time window. Data may also be shared late with CDC due to the volume of COVID-19 cases.
    • Annual finalized data: To create the final NNDSS data used in the annual tables, CDC works carefully with the reporting jurisdictions to reconcile the data received during the year until each state or territorial epidemiologist confirms that the data from their area are correct.
    • Access Addressing Gaps in Public Health Reporting of Race and Ethnicity for COVID-19, a report from the Council of State and Territorial Epidemiologists, to better understand the challenges in completing race and ethnicity data for COVID-19 and recommendations for improvement.

    Data Limitations

    To learn more about the limitations in using case surveillance data, visit FAQ: COVID-19 Data and Surveillance.

    Data Quality Assurance Procedures

    CDC’s Case Surveillance Section routinely performs data quality assurance procedures (i.e., ongoing corrections and logic checks to address data errors). To date, the following data cleaning steps have been implemented:

    • Questions that have been left unanswered (blank) on the case report form are reclassified to a Missing value, if applicable to the question. For example, in the question “Was the individual hospitalized?” where the possible answer choices include “Yes,” “No,” or “Unknown,” the blank value is recoded to Missing because the case report form did not include a response to the question.
    • Logic checks are performed for date data. If an illogical date has been provided, CDC reviews the data with the reporting jurisdiction. For example, if a symptom onset date in the future is reported to CDC, this value is set to null until the reporting jurisdiction updates the date appropriately.
    • Additional data quality processing to recode free text data is ongoing. Data on symptoms, race and ethnicity, and healthcare worker status have been prioritized.

    Data Suppression

    To prevent release of data that could be used to identify people, data cells are suppressed for low frequency (<5) records and indirect identifiers (e.g., date of first positive specimen). Suppression includes rare combinations of demographic characteristics (sex, age group, race/ethnicity). Suppressed values are re-coded to the NA answer option; records with data suppression are never removed.

    For questions, please contact Ask SRRG (eocevent394@cdc.gov).

    Additional COVID-19 Data

    COVID-19 data are available to the public as summary or aggregate count files, including total counts of cases and deaths by state and by county. These

  9. Coronavirus COVID-19 Global Cases

    • redivis.com
    application/jsonl +7
    Updated Jul 13, 2020
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    Stanford Center for Population Health Sciences (2020). Coronavirus COVID-19 Global Cases [Dataset]. http://doi.org/10.57761/pyf5-4e40
    Explore at:
    sas, csv, application/jsonl, spss, stata, parquet, arrow, avroAvailable download formats
    Dataset updated
    Jul 13, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 22, 2020 - Jul 12, 2020
    Description

    Abstract

    JHU Coronavirus COVID-19 Global Cases, by country

    Documentation

    PHS is updating the Coronavirus Global Cases dataset weekly, Monday, Wednesday and Friday from Cloud Marketplace.

    This data comes from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post.

    Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    Section 2

    Included Data Sources are:

    %3C!-- --%3E

    Section 3

    **Terms of Use: **

    This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

    Section 4

    **U.S. county-level characteristics relevant to COVID-19 **

    Chin, Kahn, Krieger, Buckee, Balsari and Kiang (forthcoming) show that counties differ significantly in biological, demographic and socioeconomic factors that are associated with COVID-19 vulnerability. A range of publicly available county-specific data identifying these key factors, guided by international experiences and consideration of epidemiological parameters of importance, have been combined by the authors and are available for use:

    https://github.com/mkiang/county_preparedness/

  10. i

    Coronavirus (COVID-19) Geo-tagged Tweets Dataset

    • ieee-dataport.org
    Updated May 18, 2025
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    Rabindra Lamsal (2025). Coronavirus (COVID-19) Geo-tagged Tweets Dataset [Dataset]. https://ieee-dataport.org/open-access/coronavirus-covid-19-geo-tagged-tweets-dataset
    Explore at:
    Dataset updated
    May 18, 2025
    Authors
    Rabindra Lamsal
    License

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

    Description

    only the tweet IDs are shared. The tweet IDs in this dataset belong to the tweets created providing an exact location.

  11. Coronavirus (COVID-19) Infection Survey: technical data

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Mar 10, 2023
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    Office for National Statistics (2023). Coronavirus (COVID-19) Infection Survey: technical data [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/covid19infectionsurveytechnicaldata
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 10, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Technical and methodological data from the Coronavirus (COVID-19) Infection Survey, England, Wales, Northern Ireland and Scotland.

  12. Washington State Novel Coronavirus (COVID-19) Cases

    • healthdata.gov
    • data.wa.gov
    • +3more
    application/rdfxml +5
    Updated Apr 8, 2025
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    data.wa.gov (2025). Washington State Novel Coronavirus (COVID-19) Cases [Dataset]. https://healthdata.gov/State/Washington-State-Novel-Coronavirus-COVID-19-Cases/68mp-w3gp
    Explore at:
    application/rssxml, application/rdfxml, json, csv, tsv, xmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    data.wa.gov
    Area covered
    Washington
    Description

    On January 21, 2020, the U.S. Centers for Disease Control and Prevention (CDC) and Washington State Department of Health (DOH) announced the first case of 2019 Novel Coronavirus (COVID-19) in the United States, in Washington state. The link below provides access to DOH daily updates of confirmed Washington State COVID-19 cases and deaths, along with essential information about the virus and guidance on prevention and risk management. The link includes Frequently Asked Questions, as well as resources for specific groups such as parents, caregivers, employers, schools and health care providers.

  13. Cumulative cases of COVID-19 worldwide from Jan. 22, 2020 to Jun. 13, 2023,...

    • statista.com
    • ai-chatbox.pro
    Updated May 22, 2024
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    Statista (2024). Cumulative cases of COVID-19 worldwide from Jan. 22, 2020 to Jun. 13, 2023, by day [Dataset]. https://www.statista.com/statistics/1103040/cumulative-coronavirus-covid19-cases-number-worldwide-by-day/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 22, 2020 - Jun 13, 2023
    Area covered
    Worldwide
    Description

    As of June 13, 2023, there have been almost 768 million cases of coronavirus (COVID-19) worldwide. The disease has impacted almost every country and territory in the world, with the United States confirming around 16 percent of all global cases.

    COVID-19: An unprecedented crisis Health systems around the world were initially overwhelmed by the number of coronavirus cases, and even the richest and most prepared countries struggled. In the most vulnerable countries, millions of people lacked access to critical life-saving supplies, such as test kits, face masks, and respirators. However, several vaccines have been approved for use, and more than 13 billion vaccine doses had already been administered worldwide as of March 2023.

    The coronavirus in the United Kingdom Over 202 thousand people have died from COVID-19 in the UK, which is the highest number in Europe. The tireless work of the National Health Service (NHS) has been applauded, but the country’s response to the crisis has drawn criticism. The UK was slow to start widespread testing, and the launch of a COVID-19 contact tracing app was delayed by months. However, the UK’s rapid vaccine rollout has been a success story, and around 53.7 million people had received at least one vaccine dose as of July 13, 2022.

  14. Data from: Novel Coronavirus COVID-19

    • kaggle.com
    Updated Mar 31, 2020
    + more versions
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    Abdul Hafeez (2020). Novel Coronavirus COVID-19 [Dataset]. https://www.kaggle.com/datasets/hafeezabro/novel-coronavirus-covid19
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abdul Hafeez
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post, Mapping 2019-nCoV (https://systems.jhu.edu/research/public-health/ncov/), and included data sources are listed here: https://github.com/CSSEGISandData/COVID-19

    Dataset source: JHU CSSE

    Update frequency: Daily

    Terms of use: The contents of the dataset are provided to the public strictly for educational and academic purposes only. This data is from third party sources that may not be accurate, consistent and/or up-to-date. These datasets are provided “as is” without any warranties or representations of any kind. You are responsible for determining the suitability of this data for your purposes. See the JHU CSSE GitHub page for more details: https://github.com/CSSEGISandData/COVID-19

  15. o

    Coronavirus (COVID-19) cases in Vietnam by provinces

    • data.opendevelopmentmekong.net
    Updated Apr 1, 2020
    + more versions
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    (2020). Coronavirus (COVID-19) cases in Vietnam by provinces [Dataset]. https://data.opendevelopmentmekong.net/dataset/coronavirus-covid-19-cases-in-vietnam
    Explore at:
    Dataset updated
    Apr 1, 2020
    License

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

    Area covered
    Vietnam
    Description

    This dataset shows the cases of Coronavirus (COVID-19) in Vietnam. The dataset information will be updated according to the announcements from the ministry of health in Vietnam. The data is updated frenquently along with the data of Ministry of Vietnam. Note: The first case of COVID-19 in Vietnam was first announced on January 22, 2020, including a 66-year-old Chinese man (#1) traveling from Wuhan to Hanoi to visit his son living in Vietnam, and his 28-year-old son (# 2), who is believed to have contracted the disease from his father when they met in Nha Trang. This dataset is updated as the case progresses, thus requiring the public to understand and verify the data that ODV has published.

  16. a

    Coronavirus COVID-19 Cases V2

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +1more
    Updated Mar 26, 2020
    + more versions
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    CSSE_covid19 (2020). Coronavirus COVID-19 Cases V2 [Dataset]. https://hub.arcgis.com/maps/1cb306b5331945548745a5ccd290188e
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    CSSE_covid19
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals)and the US at county-level. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. . The China data is automatically updating at least once per hour, and non-China data is updating hourly. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

  17. Coronavirus (COVID-19) reporting in higher education providers

    • gov.uk
    • s3.amazonaws.com
    Updated Apr 26, 2021
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    Department for Education (2021). Coronavirus (COVID-19) reporting in higher education providers [Dataset]. https://www.gov.uk/government/publications/coronavirus-covid-19-reporting-in-higher-education-providers
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    Dataset updated
    Apr 26, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    This release provides information on:

    • confirmed coronavirus (COVID-19) cases for students and staff known to providers
    • estimates for number of self-isolating students
    • estimated cases per 100,000 for students and staff (autumn term only)
    • numbers of providers by their higher education tiers of restriction (autumn term only)

    The release was updated on 26 April with data up to 7 April.

  18. Cumulative cases of COVID-19 in the U.S. from Jan. 20, 2020 - Nov. 11, 2022,...

    • statista.com
    Updated Nov 17, 2022
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    Statista (2022). Cumulative cases of COVID-19 in the U.S. from Jan. 20, 2020 - Nov. 11, 2022, by week [Dataset]. https://www.statista.com/statistics/1103185/cumulative-coronavirus-covid19-cases-number-us-by-day/
    Explore at:
    Dataset updated
    Nov 17, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 20, 2020 - Nov 11, 2022
    Area covered
    United States
    Description

    As of November 11, 2022, almost 96.8 million confirmed cases of COVID-19 had been reported by the World Health Organization (WHO) for the United States. The pandemic has impacted all 50 states, with vast numbers of cases recorded in California, Texas, and Florida.

    The coronavirus in the U.S. The coronavirus hit the United States in mid-March 2020, and cases started to soar at an alarming rate. The country has performed a high number of COVID-19 tests, which is a necessary step to manage the outbreak, but new coronavirus cases in the U.S. have spiked several times since the pandemic began, most notably at the end of 2022. However, restrictions in many states have been eased as new cases have declined.

    The origin of the coronavirus In December 2019, officials in Wuhan, China, were the first to report cases of pneumonia with an unknown cause. A new human coronavirus – SARS-CoV-2 – has since been discovered, and COVID-19 is the infectious disease it causes. All available evidence to date suggests that COVID-19 is a zoonotic disease, which means it can spread from animals to humans. The WHO says transmission is likely to have happened through an animal that is handled by humans. Researchers do not support the theory that the virus was developed in a laboratory.

  19. o

    Coronavirus (COVID-19) cases in Myanmar (Date: 24 December 2020)

    • data.opendevelopmentmekong.net
    Updated Oct 20, 2020
    + more versions
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    (2020). Coronavirus (COVID-19) cases in Myanmar (Date: 24 December 2020) [Dataset]. https://data.opendevelopmentmekong.net/dataset/coronavirus-covid-19-cases-in-myanmar-date-20-october-2020-time-08-00-pm
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    Dataset updated
    Oct 20, 2020
    License

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

    Area covered
    Myanmar (Burma)
    Description

    This dataset shows the cases of Coronavirus (COVID-19) in Myanmar. The dataset information will be updated according to the data from the Situation Reports of COVID-19 Cases in Myanmar . The data is visualized as a geographical points representing the state or region. This dataset is updated as the cases of COVID-19 progress.

  20. Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2,...

    • statista.com
    • ai-chatbox.pro
    Updated Dec 15, 2020
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    Statista (2020). Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2, 2023 [Dataset]. https://www.statista.com/statistics/1087466/covid19-cases-recoveries-deaths-worldwide/
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, there were roughly 687 million global cases of COVID-19. Around 660 million people had recovered from the disease, while there had been almost 6.87 million deaths. The United States, India, and Brazil have been among the countries hardest hit by the pandemic.

    The various types of human coronavirus The SARS-CoV-2 virus is the seventh known coronavirus to infect humans. Its emergence makes it the third in recent years to cause widespread infectious disease following the viruses responsible for SARS and MERS. A continual problem is that viruses naturally mutate as they attempt to survive. Notable new variants of SARS-CoV-2 were first identified in the UK, South Africa, and Brazil. Variants are of particular interest because they are associated with increased transmission.

    Vaccination campaigns Common human coronaviruses typically cause mild symptoms such as a cough or a cold, but the novel coronavirus SARS-CoV-2 has led to more severe respiratory illnesses and deaths worldwide. Several COVID-19 vaccines have now been approved and are being used around the world.

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Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE), Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) [Dataset]. https://github.com/CSSEGISandData/COVID-19

Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU)

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Dataset provided by
Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
Area covered
Global
Description

2019 Novel Coronavirus COVID-19 (2019-nCoV) Visual Dashboard and Map:
https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

  • Confirmed Cases by Country/Region/Sovereignty
  • Confirmed Cases by Province/State/Dependency
  • Deaths
  • Recovered

Downloadable data:
https://github.com/CSSEGISandData/COVID-19

Additional Information about the Visual Dashboard:
https://systems.jhu.edu/research/public-health/ncov

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