4 datasets found
  1. O

    MD COVID-19 - Cases by ZIP Code

    • opendata.maryland.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Apr 27, 2023
    + more versions
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    Maryland Department of Health Prevention and Health Promotion Administration, MDH PHPA (2023). MD COVID-19 - Cases by ZIP Code [Dataset]. https://opendata.maryland.gov/w/3vih-ktgv/gz96-f9ea?cur=Nx1ywNLAMtU&from=oe3eC7gA_u4
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    application/rdfxml, csv, json, xml, application/rssxml, tsvAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    Maryland Department of Health Prevention and Health Promotion Administration, MDH PHPA
    License

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

    Area covered
    Maryland
    Description

    NOTE: This dataset is no longer being updated as of 4/27/2023.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

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

    Summary The cumulative number of positive COVID-19 cases among Maryland residents within a single Maryland ZIP code.

    Description The MD COVID-19 - Cases by ZIP data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the NEDSS system. Upon reaching a limit to the Socrata Platform, we decided to break the data into two parts. We now have "MD COVID-19 - Cases by ZIP Code Archive (2022)", "MD COVID-19 - Cases by ZIP Code Archive (2021)", and "MD COVID-19 - Cases by ZIP Code Archive (2020)".

    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.

    Case data aggregates to ZIP Codes do not reflect cases with missing, out of state, or incorrect ZIP Codes. Therefore, statewide totals of aggregate ZIP Code data may not match other statewide aggregate totals.

  2. NSW COVID-19 cases by location and likely source of infection

    • data.gov.au
    csv
    Updated Apr 10, 2021
    + more versions
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    NSW Ministry of Health (2021). NSW COVID-19 cases by location and likely source of infection [Dataset]. https://data.gov.au/dataset/ds-nsw-97ea2424-abaf-4f3e-a9f2-b5c883f42b6a
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    csvAvailable download formats
    Dataset updated
    Apr 10, 2021
    Dataset provided by
    New South Wales Ministry of Healthhttps://www.health.nsw.gov.au/
    License

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

    Area covered
    New South Wales
    Description

    COVID-19 cases by notification date and postcode, local health district, local government area and likely source of infection. The dataset is updated daily, except on weekends. The data is for …Show full descriptionCOVID-19 cases by notification date and postcode, local health district, local government area and likely source of infection. The dataset is updated daily, except on weekends. The data is for confirmed COVID-19 cases only based on location of usual residence, not necessarily where the virus was contracted. The case definition of a confirmed case is a person who tests positive to a validated specific SARS-CoV-2 nucleic acid test or has the virus identified by electron microscopy or viral culture, at a reference laboratory. Data reported at 8pm daily. Case counts reported by NSW Health for a particular notification date may vary over time due to ongoing investigations and the outcome of cases under review thus this dataset and any historical data contained within is subject to change on a daily basis. The underlying dataset was assessed to measure the risk of identifying an individual and the level of sensitivity of the information gained if it was known that an individual was in the dataset. The dataset was then treated to mitigate these risks, including suppressing and aggregating data.

  3. NSW COVID-19 tests by location and result (discontinued)

    • data.nsw.gov.au
    csv
    Updated Feb 12, 2024
    + more versions
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    NSW Ministry of Health (2024). NSW COVID-19 tests by location and result (discontinued) [Dataset]. https://data.nsw.gov.au/data/dataset/nsw-covid-19-tests-by-location-and-result
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    csv(41591180)Available download formats
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    New South Wales Ministry of Healthhttps://www.health.nsw.gov.au/
    License

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

    Area covered
    New South Wales
    Description

    From 20 October 2023, COVID-19 datasets will no longer be updated. Detailed information is available in the fortnightly NSW Respiratory Surveillance Report: https://www.health.nsw.gov.au/Infectious/covid-19/Pages/reports.aspx. Latest national COVID-19 spread, vaccination and treatment metrics are available on the Australian Government Health website: https://www.health.gov.au/topics/covid-19/reporting?language=und

    COVID-19 tests by date and postcode, local health district, local government area and result.

    The data is for people tested for COVID-19 and is based on location of residence reported at the time of the test. A surge in total number of tests performed on a particular day may occur as the test results are updated in batches and new laboratories gain testing capacity.

    The underlying dataset was assessed to measure the risk of identifying an individual and the level of sensitivity of the information gained if it was known that an individual was in the dataset. The dataset was then treated to mitigate these risks, including suppressing and aggregating data.

  4. NSW COVID-19 cases by location

    • kaggle.com
    Updated Mar 10, 2025
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    liv heaton (2025). NSW COVID-19 cases by location [Dataset]. https://www.kaggle.com/livheaton/nsw-covid19-cases-by-location/discussion
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    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.

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Maryland Department of Health Prevention and Health Promotion Administration, MDH PHPA (2023). MD COVID-19 - Cases by ZIP Code [Dataset]. https://opendata.maryland.gov/w/3vih-ktgv/gz96-f9ea?cur=Nx1ywNLAMtU&from=oe3eC7gA_u4

MD COVID-19 - Cases by ZIP Code

Explore at:
application/rdfxml, csv, json, xml, application/rssxml, tsvAvailable download formats
Dataset updated
Apr 27, 2023
Dataset authored and provided by
Maryland Department of Health Prevention and Health Promotion Administration, MDH PHPA
License

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

Area covered
Maryland
Description

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

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

Summary The cumulative number of positive COVID-19 cases among Maryland residents within a single Maryland ZIP code.

Description The MD COVID-19 - Cases by ZIP data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the NEDSS system. Upon reaching a limit to the Socrata Platform, we decided to break the data into two parts. We now have "MD COVID-19 - Cases by ZIP Code Archive (2022)", "MD COVID-19 - Cases by ZIP Code Archive (2021)", and "MD COVID-19 - Cases by ZIP Code Archive (2020)".

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.

Case data aggregates to ZIP Codes do not reflect cases with missing, out of state, or incorrect ZIP Codes. Therefore, statewide totals of aggregate ZIP Code data may not match other statewide aggregate totals.

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