PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions (LGA) 2016-2017

Dataset extent

Description

This dataset, released November 2018, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 2016/17. The data is by Local Government Area (LGA) 2016 geographic boundaries.

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 2016/17; and the ABS Estimated Resident Population, 30 June 2016.

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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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.

Tags

Additional Info

See activity stream See groups

Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 07:29 (UTC)
Created June 28, 2023, 07:29 (UTC)
ADP ID datasource-TUA_PHIDU-UoM_AURIN_DB_1:phidu_admissions_preventable_diagnosis_vaccine_lga_2016_17
Access Level Open Access
Aggregation Level lga2016
Attribute List Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2016/17 Asr Per 100,000, Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2016/17 Number, Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2016/17 Sig., Admissions For Total Vaccine-Preventable Conditions - All Hospitals 2016/17 Sr, Admissions For Total Vaccine-Preventable Conditions - Public Hospitals* 2016/17 Asr Per 100,000, Admissions For Total Vaccine-Preventable Conditions - Public Hospitals* 2016/17 Number, Admissions For Total Vaccine-Preventable Conditions - Public Hospitals* 2016/17 Sig., Admissions For Total Vaccine-Preventable Conditions - Public Hospitals* 2016/17 Sr, Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2016/17 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2016/17 Number, Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2016/17 Sig., Admissions For Vaccine-Preventable Conditions - Other - All Hospitals 2016/17 Sr, Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals* 2016/17 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals* 2016/17 Number, Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals* 2016/17 Sig., Admissions For Vaccine-Preventable Conditions - Other - Public Hospitals* 2016/17 Sr, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2016/17 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2016/17 Number, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2016/17 Sig., Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - All Hospitals 2016/17 Sr, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals* 2016/17 Asr Per 100,000, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals* 2016/17 Number, Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals* 2016/17 Sig., Admissions For Vaccine-Preventable Conditions - Pneumonia And Influenza - Public Hospitals* 2016/17 Sr, Geometry Field, LGA Code 2016, LGA Name 2016
Attribution Torrens University Australia - Public Health Information Development Unit, (2018): PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions (LGA) 2016-2017; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Torrens University Australia - Public Health Information Development Unit 2018
Geometry Field wkb_geometry
Key lga_code16
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]]]}