Each row contains a single SARS-CoV-2 case and associated LGA, postcode and the mode of transmission.\r \r An active case is someone who has tested positive and is currently in isolation. The department monitors active cases. A small number of cases that are not contactable are considered to have recovered after 28 days from diagnoses.\r \r Residential location is the address provided by a person during contact tracing. This is not where they were infected. It may not be where the case currently resides (for example they might be in a hospital). Postcode of the case does not reflect where a person was infected and in the event that a case is detected and a residential postcode is not available a post code of 3999 is used. A confirmed case is a person who has a positive laboratory test for coronavirus (COVID-19).

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 cases by notification date and postcode, local health district, and local government area. The dataset is updated weekly on Fridays.

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.

This dataset does not include cases with missing location information.

The COVID Symptom Tracker (https://covid.joinzoe.com/) mobile application was designed by doctors and scientists at King's College London, Guys and St Thomas’ Hospitals working in partnership with ZOE Global Ltd – a health science company. This research is led by Dr Tim Spector, professor of genetic epidemiology at King’s College London and director of TwinsUK a scientific study of 15,000 identical and non-identical twins, which has been running for nearly three decades. The dataset schema includes: - Demographic Information (Year of Birth, Gender, Height, Weight, Postcode) - Health Screening Questions (Activity, Heart Disease, Diabetes, Lung Disease, Smoking Status, Kidney Disease, Chemotherapy, Immunosuppressants, Corticosteroids, Blood Pressure Medications, Previous COVID, COVID Symptoms, Needs Help, Housebound Problems, Help Availability, Mobility Aid) - COVID Testing Conducted - How You Feel? - Symptom Description - Location Information (Home, Hospital, Back From Hospital) - Treatment Received

Dataset Access Request: https://healthdatagateway.org/detail/9b604483-9cdc-41b2-b82c-14ee3dd705f6

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.

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/975541/Surge_testing_summary_2021-03-26.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

Surge testing summary 1 April 2021

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Work is underway in NHS Test and Trace to digitally label samples associated with surge testing, through an end-to-end process from sample to sequence. In the interim, this preliminary analysis uses a pragmatic proxy of samples identified through local surge testing initiatives as:

• specimens taken at a mobile test unit (MTU), regional test site (RTS) or local test site (LTS) that has been designated by NHS Test and Trace as related to surge testing, during the period surge testing was in operation PLUS

• specimens from a home test kit delivered to a postcode within a designated surge test area, during the period surge testing was in operation

Tests undertaken as part of surge testing but from persons resident in other postcodes or processed through a test site not designated as surge testing using the definition above, will not be included in this proxy.

Indicators are presented by ‘locality’ of area targeted for surge testing and the test sites linked to it (including MTU deployment). Locality names are the operational names assigned by Test and Trace and do not necessarily relate to strict geographical boundaries. Specimens from individuals who do not reside in the locality – but who have been tested at a site associated with the locality for surge testing – may be included.

All variant of concern or variant under investigation samples identified through surge testing are verified through established PHE dataflows and matched to the earliest positive specimen of a case in the daily line list of cases. Therefore, this report does not include sequencing for any cases with a positive specimen taken prior to surge testing. Data from the last 7 days has been excluded to allow time for sequencing data to be reported.

Lateral Flow Device (LFD) testing and cases first identified using LFD are included. Cases first identified using LFD may have a later PCR sample which has been sequenced. LFD contribution to case rate is assumed to be similar in surge and non-surge areas and therefore should not impact comparative sequencing estimates.<

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.

A summary of both Polymerase chain reaction (PCR) tests and Rapid Antigen Tests (RAT) notified SARS-CoV-2 (coronavirus) cases with their associated LGA and postcode between 25 January, 2020 and 14 September, 2023

A line list of Queensland's COVID-19 cases by date of individual's notification of COVID-19 detection, location of usual residence (Postcode, Local Government Area and SA2) as well as the individual's source of COVID-19 infection.\r \r Please note that location variables are masked as null in instances when a case does not usually reside in Queensland. Furthermore, SA2 has not been generated on pathology tests prior to the June 2021 update of the Queensland's Notifiable Conditions System.\r \r As at March 2023, the dataset incorporated the Queensland Public RAT Portal. Although this data has not been appropriately validated by Queensland pathology laboratories, the results were re-evaluated from within the Notifiable Conditions System (NoCS) and hence, any duplicates or other multiple entries for the same re-infection period have been appropriately integrated.\r \r The data presented in the Data Explorer tab below is a representative sample of the complete data set. To view the complete data set, select the Download(CSV) icon or the Data API icon above.

A shapefile for mapping data by Modified Zip Code Tabulation Areas (MODZCTA) in NYC, based on the 2010 Census ZCTA shapefile. MODZCTA are being used by the NYC Department of Health & Mental Hygiene (DOHMH) for mapping COVID-19 Data.

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.

These indicators are designed to accompany the SHMI publication. The SHMI methodology does not make any adjustment for deprivation. This is because adjusting for deprivation might create the impression that a higher death rate for those who are more deprived is acceptable. Patient records are assigned to 1 of 5 deprivation groups (called quintiles) using the Index of Multiple Deprivation (IMD). The deprivation quintile cannot be calculated for some records e.g. because the patient's postcode is unknown or they are not resident in England. Contextual indicators on the percentage of provider spells and deaths reported in the SHMI belonging to each deprivation quintile are produced to support the interpretation of the SHMI. Notes: 1. As of the July 2020 publication, COVID-19 activity has been excluded from the SHMI. The SHMI is not designed for this type of pandemic activity and the statistical modelling used to calculate the SHMI may not be as robust if such activity were included. Activity that is being coded as COVID-19, and therefore excluded, is monitored in the contextual indicator 'Percentage of provider spells with COVID-19 coding' which is part of this publication. 2. Please note that there was a fall in the overall number of spells from March 2020 due to COVID-19 impacting on activity for England and the number has not returned to pre-pandemic levels. Further information at Trust level is available in the contextual indicator ‘Provider spells compared to the pre-pandemic period’ which is part of this publication. 3. There is a shortfall in the number of records for The Princess Alexandra Hospital NHS Trust (trust code RQW). Values for this trust are based on incomplete data and should therefore be interpreted with caution. 4. Frimley Health NHS Foundation Trust (trust code RDU) stopped submitting data to the Secondary Uses Service (SUS) during June 2022 and did not start submitting data again until April 2023 due to an issue with their patient records system. This is causing a large shortfall in records and values for this trust should be viewed in the context of this issue. 5. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 6. East Kent Hospitals University NHS Foundation Trust (trust code RVV) has a submission issue which is causing many of their patient spells to be duplicated in the HES Admitted Patient Care data. This means that the number of spells for this trust in this dataset are overstated by approximately 60,000, and the trust’s SHMI value will be lower as a result. Values for this trust should therefore be interpreted with caution. 7. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of the publication page.

In order to access primary care services in Northern Ireland, patients need to register with a GP practice. Registrations can be divided into different types: first registrations, transfers from other parts of the UK, migrant registrations and service related registrations. Individual registrations will be deducted from the index of registered patients for a number of reasons including notification of death, emigration, returning to their home country, moving to Great Britain etc. There may be a lag between a patient presenting themselves at a GP Practice and completion of registration. This lag may be greater for patients who have to provide additional documentation as proof of entitlement to services. Similarly for deductions, there may be a lag in removing individuals from the index of registered patients.

Given the sensitive nature of the data, this dataset is primarily used to identify patient populations and facilitate linkage to other datasets. Some variables may be provided in aggregated format, for example age may be replaced with age band and postcode replaced with higher level geographical classifications.

GP Cypher codes and Practice numbers will not be provided.