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On January 31, 2022 at 10:45:16 AM +1100, unknown:
  • Updated description of NSW COVID-19 cases by location from

    COVID-19 cases by notification date and postcode, local health district, and local government area. 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. Please note the COVID-19 cases dataset does not include registered positive rapid antigen test (RAT) results. 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.
    to
    COVID-19 cases by notification date and postcode, local health district, and local government area. 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. 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.