Se encontraron más de 100 conjuntos de datos
  1. g

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

    • github.com
    • systems.jhu.edu
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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
    Explorar en:
    Conjunto de datos proporcionado por
    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
    Área que se cubre
    Global
    Descripción

    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
    • +2más
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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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    Conjunto de datos proporcionado por
    New York Times
    Descripción

    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
    • +1más
    Última actualización: 7 may 2025
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    Rabindra Lamsal (2025). Coronavirus (COVID-19) Tweets Dataset [Dataset]. https://ieee-dataport.org/open-access/coronavirus-covid-19-tweets-dataset
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    Actualización del conjunto de datos:
    7 may 2025
    Autores
    Rabindra Lamsal
    Licencia

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    Se derivó automáticamente la información de la licencia

    Descripción

    2020

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

    • data.europa.eu
    csv, excel xlsx, html +3
    Última actualización: 14 dic 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
    Explorar en:
    json, excel xlsx, rss feed, html, xml, csvFormatos de descarga disponibles
    Actualización del conjunto de datos:
    14 dic 2020
    Conjunto de datos proporcionado por
    European Centre for Disease Prevention and Control (ECDC)http://ecdc.europa.eu/
    Autores
    European Centre for Disease Prevention and Control
    Licencia

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    Se derivó automáticamente la información de la licencia

    Descripción
  5. o

    Coronavirus COVID-19 global cases by Johns Hopkins CSSE

    • data.opendevelopmentmekong.net
    Última actualización: 5 mar 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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    Actualización del conjunto de datos:
    5 mar 2020
    Descripción

    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. a

    Coronavirus COVID-19 Cases V2

    • hub.arcgis.com
    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    Última actualización: 26 mar 2020
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    CSSE_covid19 (2020). Coronavirus COVID-19 Cases V2 [Dataset]. https://hub.arcgis.com/maps/1cb306b5331945548745a5ccd290188e
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    Actualización del conjunto de datos:
    26 mar 2020
    Conjunto de datos creado y suministrado por
    CSSE_covid19
    Área que se cubre
    Descripción

    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.

  7. Coronavirus COVID-19 Global Cases

    • redivis.com
    application/jsonl +7
    Última actualización: 13 jul 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
    Explorar en:
    sas, csv, application/jsonl, spss, stata, parquet, arrow, avroFormatos de descarga disponibles
    Actualización del conjunto de datos:
    13 jul 2020
    Conjunto de datos proporcionado por
    Redivis Inc.
    Autores
    Stanford Center for Population Health Sciences
    Período que se cubre
    22 ene 2020 - 12 jul 2020
    Descripción

    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/

  8. t

    Fighting Coronavirus/COVID-19 with Public Health Data

    • data.tempe.gov
    • catalog.data.gov
    • +1más
    Última actualización: 16 abr 2020
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    City of Tempe (2020). Fighting Coronavirus/COVID-19 with Public Health Data [Dataset]. https://data.tempe.gov/datasets/fighting-coronavirus-covid-19-with-public-health-data
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    Actualización del conjunto de datos:
    16 abr 2020
    Conjunto de datos creado y suministrado por
    City of Tempe
    Descripción

    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.

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

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Última actualización: 10 mar 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
    Explorar en:
    xlsxFormatos de descarga disponibles
    Actualización del conjunto de datos:
    10 mar 2023
    Conjunto de datos proporcionado por
    Office for National Statisticshttp://www.ons.gov.uk/
    Licencia

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    Se derivó automáticamente la información de la licencia

    Descripción

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

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

    • data.wa.gov
    • healthdata.gov
    • +2más
    application/rdfxml +5
    Última actualización: 4 mar 2020
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    Washington State Department of Health (2020). Washington State Novel Coronavirus (COVID-19) Cases [Dataset]. https://data.wa.gov/w/vss8-8j5n/mncn-zj8q?cur=tQ9Ti9zsh2v
    Explorar en:
    application/rssxml, csv, xml, application/rdfxml, tsv, jsonFormatos de descarga disponibles
    Actualización del conjunto de datos:
    4 mar 2020
    Conjunto de datos creado y suministrado por
    Washington State Department of Healthhttps://doh.wa.gov/
    Licencia

    U.S. Government Workshttps://www.usa.gov/government-works
    Se derivó automáticamente la información de la licencia

    Área que se cubre
    Washington
    Descripción

    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.

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

    • statista.com
    Última actualización: 22 may 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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    Actualización del conjunto de datos:
    22 may 2024
    Conjunto de datos creado y suministrado por
    Statistahttp://statista.com/
    Período que se cubre
    22 ene 2020 - 13 jun 2023
    Área que se cubre
    Worldwide
    Descripción

    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.

  12. i

    Coronavirus (COVID-19) Geo-tagged Tweets Dataset

    • ieee-dataport.org
    Última actualización: 18 may 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
    Explorar en:
    Actualización del conjunto de datos:
    18 may 2025
    Autores
    Rabindra Lamsal
    Licencia

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    Se derivó automáticamente la información de la licencia

    Descripción

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

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

    • statista.com
    Última actualización: 17 nov 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/
    Explorar en:
    Actualización del conjunto de datos:
    17 nov 2022
    Conjunto de datos creado y suministrado por
    Statistahttp://statista.com/
    Período que se cubre
    20 ene 2020 - 11 nov 2022
    Área que se cubre
    United States
    Descripción

    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.

  14. n

    2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins...

    • scidm.nchc.org.tw
    Última actualización: 10 oct 2020
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    (2020). 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE (csse_covid_19_data) - Dataset - 國網中心Dataset平台 [Dataset]. https://scidm.nchc.org.tw/dataset/csse-covid-19-dataset
    Explorar en:
    Actualización del conjunto de datos:
    10 oct 2020
    Descripción

    Ref: https://github.com/CSSEGISandData/COVID-19 Daily reports (csse_covid_19_daily_reports) This folder contains daily case reports. All timestamps are in UTC (GMT+0). File naming convention MM-DD-YYYY.csv in UTC. Field description Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. Country/Region: country/region name conforming to WHO (will be updated). Last Update: MM/DD/YYYY HH:mm (24 hour format, in UTC). Confirmed: the number of confirmed cases. For Hubei Province: from Feb 13 (GMT +8), we report both clinically diagnosed and lab-confirmed cases. For lab-confirmed cases only (Before Feb 17), please refer to who_covid_19_situation_reports. For Italy, diagnosis standard might be changed since Feb 27 to "slow the growth of new case numbers." (Source) Deaths: the number of deaths. Recovered: the number of recovered cases. Update frequency Files after Feb 1 (UTC): once a day around 23:59 (UTC). Files on and before Feb 1 (UTC): the last updated files before 23:59 (UTC). Sources: archived_data and dashboard. Data sources Refer to the mainpage. Why create this new folder? Unifying all timestamps to UTC, including the file name and the "Last Update" field. Pushing only one file every day. All historic data is archived in archived_data. Time series summary (csse_covid_19_time_series) This folder contains daily time series summary tables, including confirmed, deaths and recovered. All data are from the daily case report. Field descriptioin Province/State: same as above. Country/Region: same as above. Lat and Long: a coordinates reference for the user. Date fields: M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file.

  15. o

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

    • data.opendevelopmentmekong.net
    Última actualización: 20 oct 2020
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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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    Actualización del conjunto de datos:
    20 oct 2020
    Licencia

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    Se derivó automáticamente la información de la licencia

    Área que se cubre
    Myanmar (Burma)
    Descripción

    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.

  16. Coronavirus (COVID-19) Infection Survey: England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Última actualización: 10 mar 2023
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    Office for National Statistics (2023). Coronavirus (COVID-19) Infection Survey: England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/coronaviruscovid19infectionsurveydata
    Explorar en:
    xlsxFormatos de descarga disponibles
    Actualización del conjunto de datos:
    10 mar 2023
    Conjunto de datos proporcionado por
    Office for National Statisticshttp://www.ons.gov.uk/
    Licencia

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    Se derivó automáticamente la información de la licencia

    Descripción

    Findings from the Coronavirus (COVID-19) Infection Survey for England.

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

    • statista.com
    Última actualización: 15 dic 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/
    Explorar en:
    Actualización del conjunto de datos:
    15 dic 2020
    Conjunto de datos creado y suministrado por
    Statistahttp://statista.com/
    Período que se cubre
    2 may 2023
    Área que se cubre
    Worldwide
    Descripción

    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.

  18. o

    Coronavirus (COVID-19) cases in Vietnam by provinces

    • data.opendevelopmentmekong.net
    Última actualización: 1 abr 2020
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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
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    Actualización del conjunto de datos:
    1 abr 2020
    Licencia

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    Se derivó automáticamente la información de la licencia

    Área que se cubre
    Vietnam
    Descripción

    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.

  19. COVID-19 Twitter Dataset

    • figshare.com
    • borealisdata.ca
    zip
    Última actualización: 2 oct 2021
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    Social Media Lab (2021). COVID-19 Twitter Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.16713448.v1
    Explorar en:
    zipFormatos de descarga disponibles
    Actualización del conjunto de datos:
    2 oct 2021
    Conjunto de datos proporcionado por
    figshare
    Autores
    Social Media Lab
    Licencia

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    Se derivó automáticamente la información de la licencia

    Descripción

    The current dataset contains Tweet IDs for tweets mentioning "COVID" (e.g., COVID-19, COVID19) and shared between March and July of 2020.Sampling Method: hourly requests sent to Twitter Search API using Social Feed Manager, an open source software that harvests social media data and related content from Twitter and other platforms.NOTE: 1) In accordance with Twitter API Terms, only Tweet IDs are provided as part of this dataset. 2) To recollect tweets based on the list of Tweet IDs contained in these datasets, you will need to use tweet 'rehydration' programs like Hydrator (https://github.com/DocNow/hydrator) or Python library Twarc (https://github.com/DocNow/twarc). 3) This dataset, like most datasets collected via the Twitter Search API, is a sample of the available tweets on this topic and is not meant to be comprehensive. Some COVID-related tweets might not be included in the dataset either because the tweets were collected using a standardized but intermittent (hourly) sampling protocol or because tweets used hashtags/keywords other than COVID (e.g., Coronavirus or #nCoV). 4) To broaden this sample, consider comparing/merging this dataset with other COVID-19 related public datasets such as: https://github.com/thepanacealab/covid19_twitter https://ieee-dataport.org/open-access/corona-virus-covid-19-tweets-dataset https://github.com/echen102/COVID-19-TweetIDs

  20. d

    Johns Hopkins COVID-19 Case Tracker

    • data.world
    csv, zip
    Última actualización: 10 sept 2025
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    The Associated Press (2025). Johns Hopkins COVID-19 Case Tracker [Dataset]. https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker
    Explorar en:
    zip, csvFormatos de descarga disponibles
    Actualización del conjunto de datos:
    10 sept 2025
    Autores
    The Associated Press
    Período que se cubre
    22 ene 2020 - 9 mar 2023
    Área que se cubre
    Descripción

    Updates

    • Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

    • April 9, 2020

      • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.
    • April 20, 2020

      • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.
    • April 29, 2020

      • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.
    • September 1st, 2020

      • Johns Hopkins is now providing counts for the five New York City counties individually.
    • February 12, 2021

      • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
      • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.
    • February 16, 2021

      - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

      Overview

    The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

    The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

    This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

    The AP is updating this dataset hourly at 45 minutes past the hour.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

    Queries

    Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

    Interactive

    The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

    @(https://datawrapper.dwcdn.net/nRyaf/15/)

    Interactive Embed Code

    <iframe title="USA counties (2018) choropleth map Mapping COVID-19 cases by county" aria-describedby="" id="datawrapper-chart-nRyaf" src="https://datawrapper.dwcdn.net/nRyaf/10/" scrolling="no" frameborder="0" style="width: 0; min-width: 100% !important;" height="400"></iframe><script type="text/javascript">(function() {'use strict';window.addEventListener('message', function(event) {if (typeof event.data['datawrapper-height'] !== 'undefined') {for (var chartId in event.data['datawrapper-height']) {var iframe = document.getElementById('datawrapper-chart-' + chartId) || document.querySelector("iframe[src*='" + chartId + "']");if (!iframe) {continue;}iframe.style.height = event.data['datawrapper-height'][chartId] + 'px';}}});})();</script>
    

    Caveats

    • This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
    • In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
    • In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
    • This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
    • Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
    • Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
    • The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

    Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

    Attribution

    This data should be credited to Johns Hopkins University COVID-19 tracking project

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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)

Explorar en:
Conjunto de datos proporcionado por
Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
Área que se cubre
Global
Descripción

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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