2 datasets found
  1. H

    Novel Coronavirus (COVID-19) Cases Data

    • data.humdata.org
    csv
    Updated Feb 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Johns Hopkins University Center for Systems Science and Engineering (2025). Novel Coronavirus (COVID-19) Cases Data [Dataset]. https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Johns Hopkins University Center for Systems Science and Engineering
    License

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

    Description
    JHU Has Stopped Collecting Data As Of 03/10/2023
    After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
    The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.

    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.

    Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.

    On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:

    • time_series_covid19_confirmed_global.csv
    • time_series_covid19_deaths_global.csv
    • time_series_covid19_recovered_global.csv

    ---DEPRECATION WARNING---
    The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:

    • time_series_19-covid-Confirmed.csv
    • time_series_19-covid-Deaths.csv
    • time_series_19-covid-Recovered.csv
  2. NSW COVID-19 cases by location

    • kaggle.com
    Updated Mar 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    liv heaton (2025). NSW COVID-19 cases by location [Dataset]. https://www.kaggle.com/livheaton/nsw-covid19-cases-by-location/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Kaggle
    Authors
    liv heaton
    License

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

    Area covered
    New South Wales
    Description

    Context

    NSW has been hit by the Omicron variant, with skyrocketing cases. This dataset, updated regularly, details the location of positive cases. A prediction of where the most cases could occur can be derived from this dataset and a potential prediction of how many cases there is likely to be.

    Content

    notification_date: Text, dates to when the positive case was notified of a positive test result. postcode: Text, lists the postcode of the positive case. lhd_2010_code: Text, the code of the local health district of the positive case. lhd_2010_name: Text, the name of the local health district of the positive case. lga_code19: Text, the code of the local government area of the positive case. lga_name19: Text, the name of the local government area of the positive case.

    Acknowledgements

    Thanks to NSW Health for providing and updating the dataset.

    Inspiration

    The location of cases is highly important in NSW. In mid-2021, Western Sydney had the highest proportion of COVID-19 cases with many deaths ensuing. Western Sydney is one of Sydney's most diverse areas, with many vulnerable peoples. The virus spread to western NSW, imposing a risk to the Indigenous communities. With location data, a prediction service can be made to forecast the areas at risk of transmission.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Johns Hopkins University Center for Systems Science and Engineering (2025). Novel Coronavirus (COVID-19) Cases Data [Dataset]. https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases

Novel Coronavirus (COVID-19) Cases Data

Explore at:
279 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
Feb 4, 2025
Dataset provided by
Johns Hopkins University Center for Systems Science and Engineering
License

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

Description
JHU Has Stopped Collecting Data As Of 03/10/2023
After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.

Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.

Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.

On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:

  • time_series_covid19_confirmed_global.csv
  • time_series_covid19_deaths_global.csv
  • time_series_covid19_recovered_global.csv

---DEPRECATION WARNING---
The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:

  • time_series_19-covid-Confirmed.csv
  • time_series_19-covid-Deaths.csv
  • time_series_19-covid-Recovered.csv
Search
Clear search
Close search
Google apps
Main menu