PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions (PHA) 2017-2018

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Description

This dataset, released June 2020, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 2017/18. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).

Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.

For more information please see the data source notes on the data.

Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 30 June 2018.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

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Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 07:32 (UTC)
Created June 28, 2023, 07:32 (UTC)
ADP ID datasource-TUA_PHIDU-UoM_AURIN_DB_1:phidu_admissions_prevent_diag_vaccin_pha_2017_18
Access Level Open Access
Aggregation Level pha2016
Attribute List , Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2017/18 Asr Per 100,000, Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2017/18 Number, Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2017/18 Sig., Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2017/18 Sr, Admissions For Total Vaccine-Preventable Conditions - Public Hospitals 2017/18 Asr Per 100,000, Admissions For Total Vaccine-Preventable Conditions - Public Hospitals 2017/18 Number, Admissions For Total Vaccine-Preventable Conditions - Public Hospitals 2017/18 Sig., Admissions For Total Vaccine-Preventable Conditions - Public Hospitals 2017/18 Sr, Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2017/18 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2017/18 Number, Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2017/18 Sig., Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2017/18 Sr, Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals 2017/18 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals 2017/18 Number, Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals 2017/18 Sig., Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals 2017/18 Sr, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2017/18 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2017/18 Number, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2017/18 Sig., Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2017/18 Sr, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals 2017/18 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals 2017/18 Number, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals 2017/18 Sig., Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals 2017/18 Sr, Code, Name
Attribution Torrens University Australia - Public Health Information Development Unit, (2021): PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions (PHA) 2017-2018; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Torrens University Australia - Public Health Information Development Unit 2021
Geometry Field geom
Key pha_code
Type dataset
spatial {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]}