37 Australian_Mortality_AIHW_RESTRICTED
Project metadata | |
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Project Title | Australian_Mortality_AIHW_RESTRICTED |
Owners | Australian Institute of Health and Welfare |
Project Abstract |
These data are restricted, summary data of COD URF (Cause of Death Unit Record Files) which is collected by all the states and managed by the QLD Registry of Births Deaths and Marriages. These data are then shared with AIHW who provides a service where records can be summarised. If users require less aggregated data, Cause of Death Unit Record File (COD URF) is available for specific use cases from the QLD RBDM. |
37.1 AIHW_FactOfDeath_2010_2021
Accessibility | Provision Status | Licence |
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Restricted | Published | other |
Metadata fields | |
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Short Name | AIHW_FactOfDeath_2010_2021 |
Title | AIHW_FactOfDeath_2010_2021 |
Creators | |
Contact Email | car.data@sydney.edu.au |
Abstract | The AIHW_FactOfDeath_2010_2021 dataset contains restricted summary data extracted from COD URF collected and managed by the QLD Registry of Births Deaths and Marriages. These summary records are provided by AIHW to facilitate research and analysis pertaining to mortality patterns. The dataset serves to support the rapid paper on the 2019 bushfires, offering insights into cause of death information prior to coding. Access to more granular COD URF data is available through the CARDAT repository, subject to specific use cases and approval by a data curator. Researchers interested in acquiring this dataset are advised to follow the access request process outlined in the provided guidelines. |
Study Extent | |
Associated Parties | |
Repository Path | |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/AIHW_FactOfDeath_2010_2021 |
External Link | |
Recommended Citation | Various creators (2023): AIHW_FactOfDeath_2010_2021. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/AIHW_FactOfDeath_2010_2021 |
37.2 AIHW_Summarised_cause_of_death_2000_2019_disaggregated_version_2
Accessibility | Provision Status | Licence |
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Restricted | Published | other |
Metadata fields | |
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Short Name | AIHW_Summarised_cause_of_death_2000_2019_disaggregated_version_2 |
Title | AIHW_Summarised_cause_of_death_2000_2019_disaggregated_version_2 |
Creators | Australian Institute of Health and Welfare |
Contact Email | car.data@sydney.edu.au |
Abstract |
Summarised monthly and daily cause of death mortality data. This data is disaggregated by SA4/LGA/greater capital city aggregations, state, year, month or date of death, sex, age group and selected causes of death (ICD10 code) for 2000-2019.
Deaths data are provided by the AIHW from the National Mortality Database (unpublished). Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are primarily maintained by the AIHW in the National Mortality Database and aggregated data provided to the CARDAT platform for the ARDC funded Integrated National Air Pollution and Health Data of the Centre for Safe Air (CSA). See https://doi.org/10.47486/PS022 Please read the explanatory notes attached. Aggregations of sex and age group where given are categorised as follows: Sex (Males, Females, Persons); Age group (0-9, 10-29, 30-54, 55-64 , 65-74, 75-84, 85plus). Cause-specific conditions are defined by ICD10 codes: Respiratory diseases (J00-J99), Cardiovascular diseases (G45-G46, I00-I99, R00), Renal diseases (N00-N99), suicide (X60–X84.9, Y87.0) As the LGA and SA4 files are quite large, the rows with zero deaths are removed. The State and GCC files contain all rows of data (including the rows with zero deaths). Deaths from suicide are provided at State and GCC level only, with age groups 0-9 and 10-29 combined. Deaths are counted according to death occurrence, note that some deaths are not registered in the same year that it occurred particularly in November and December (e.g. due to late registration or coronial investigation). Hence, deaths in 2019 are underestimated. Deaths registered in 2017 and earlier are based on the final version of cause of death data; deaths registered in 2018 are based on the revised version; deaths registered in 2019 are based on the preliminary version. Revised and preliminary versions are subject to further revision by the ABS. |
Study Extent | Daily and monthly, 2000-2019, LGA, SA4, GCC and State-level, Australia. |
Associated Parties | |
Repository Path | |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/AIHW_Summarised_cause_of_death_2000_2019_disaggregated_version_2 |
External Link | |
Recommended Citation | Australian Institute of Health and Welfare (2023): AIHW_Summarised_cause_of_death_2000_2019_disaggregated_version_2. AIHW from the Nationality Database (unpublished), Victorian Department of Justice from the Registries of Births, Deaths and Marriages and the National Coronal Information System, ABS. Downloaded from CARDAT (dataset). https://doi.org/10.47486/PS022 |
37.3 AIHW_Summarised_COD_URF_2006_2018
Accessibility | Provision Status | Licence |
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Restricted | Published | other |
Metadata fields | |
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Short Name | AIHW_Summarised_COD_URF_2006_2018 |
Title | AIHW_Summarised_COD_URF_2006_2018 |
Creators | Australian Institute of Health and Welfare |
Contact Email | car.data@sydney.edu.au |
Abstract | Summarised Australian mortality COD URF data by • State of usual residence • Year of death • Month of death • Sex • Age groups (0-9, 10-29, 30-54, 55-64, 65-74, 75-84, 85plus), • Underlying cause of death in the groups Respiratory diseases (ICD10 codes J00-J99), Cardiovascular diseases (G45-G46, I00-I99, R00), Renal diseases (N00-N99), suicide (X60–X84.9, Y87.0) and All-causes. |
Study Extent | |
Associated Parties | |
Repository Path | |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/AIHW_Summarised_COD_URF_2006_2018 |
External Link | |
Recommended Citation | Australian Institute of Health and Welfare (2020): Summarised COD URF data by state, year, month, sex, age group and ICD10 code for 2006-2018. RBDM National Death Data. Downloaded from CARDAT (dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/AIHW_Summarised_COD_URF_2006_2018 |
37.4 Deaths_daily_expected_by_age_Sydney_Australia_2006_2018_from_AIHW_and_ABS_data
Accessibility | Provision Status | Licence |
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NA | Published | No licence |
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Short Name | Deaths_daily_expected_by_age_Sydney_Australia_2006_2018_from_AIHW_and_ABS_data |
Title | Deaths_daily_expected_by_age_Sydney_Australia_2006_2018_from_AIHW_and_ABS_data |
Creators | Timothy Chaston |
Contact Email | car.data@sydney.edu.au |
Abstract | We used monthly state-wide age stratified mortality rates from the Australian Institute of Health and Welfare (AIHW) and fitted a sinusoidal curve based on a daily continuous variable over time. Then we estimated the fraction (F) of annual deaths in age group k (over and under 75 years) expected to fall on day 𝑖 based on day 𝑖’s ordinal position within the year (Fik). Subsequently, to adjust this daily fraction to accommodate differences between locations, we collected annual deaths data from the Australian Bureau of Statistics deaths data for SA2s between 2006–2018 (ABS Cat. no. 3302.0; https://www.abs.gov.au/ausstats/abs@.nsf/mf/3302.0) and estimated daily expected mortality coutns 𝐸𝑖𝑗k for each day i, climate zone j and age. |
Study Extent | |
Associated Parties | |
Repository Path | ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/Deaths_daily_expected_by_age_Sydney_Australia_2006_2018_from_AIHW_and_ABS_data |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Australian_Mortality_AIHW_RESTRICTED/Deaths_daily_expected_by_age_Sydney_Australia_2006_2018_from_AIHW_and_ABS_data |
External Link | |
Recommended Citation | Hanigan, I. & Chaston, T. (2022): Deaths daily expected by age in Sydney Australia between 2006 and 2018 from AIHW and ABS data. CAR. (Dataset). https://doi.org/10.17605/OSF.IO/MZSWN |