Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
Preventable mortality for ages 0 to 74 years by LGA, from 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
The number of potentially avoidable deaths and their cause at age 0 to 74 years with corresponding mortality rates/ratios with respective confidence intervals, 2010 - 2014. The specified causes of death are: cancers, colorectal cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from select external causes of mortality, suicide and self-inflicted injuries, other external causes of mortality, transport accidents. (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.
Preventable mortality for ages 0 to 74 years by LGA, from 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the …Show full descriptionPreventable mortality for ages 0 to 74 years by LGA, from 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
Preventable mortality for ages 0 to 74 years by SLA, 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
The number of potentially avoidable deaths from all causes by males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, 2010-14 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept, please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.
Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. PM10 is of particular concern because of high concentrations in some areas. It can also damage health, with associated effects ranging from respiratory irritation to cancer. This indicator considers PM10 from human-made sources, such as burning wood or coal for home heating or road motor vehicle emissions.
We report on the estimated number of premature deaths, hospitalisations, and restricted activity days for the New Zealand population (per 100,000 people) from exposure to PM10 from human activities.
• Premature deaths are deaths, often preventable, that occur before a person reaches the age they were expected to live to. • Hospitalisations relate to hospitalisations for respiratory and cardiac illnesses (not including cases leading to premature death). • Restricted activity days occur when symptoms are sufficient to limit usual activities such as work or study.
This dataset relates to the "Health effects from exposure to PM10" measure on the Environmental Indicators, Te taiao Aotearoa website.
The Health effects from PM10: 2012 updated HAPINZ model can be found at https://data.mfe.govt.nz/x/KJdi75 and the updated exposure model can be found at https://data.mfe.govt.nz/x/wgSS3a on the Ministry for the Environment dataservice (https://data.mfe.govt.nz/).
https://data.mfe.govt.nz/license/attribution-4-0-international/https://data.mfe.govt.nz/license/attribution-4-0-international/
PM10 (particulate matter less than 10 micrometres in diameter) comprises solid and liquid particles in the air. PM10 can be inhaled and the largest particles in this size fraction are deposited in the upper airways, while the smaller ones can deposit deep in the lungs. Children, the elderly, and people with existing heart or lung problems have a higher risk of health effects from PM10 exposure. Health effects include decreased lung function or heart attack, and mortality. We report on the modelled number of premature deaths for adults (30+ years), hospitalisations, and restricted activity days for people of all ages for years 2006 and 2016 only. The model only includes impacts that result from exposure to PM10 that comes from human activities. We focus on PM10 from human activities because these sources can be managed, unlike PM from natural sources such as sea salt. • Premature deaths are those, often preventable, occurring before a person reaches the age they could be expected to live to. • Hospitalisations relate to those for respiratory and cardiac illnesses (not including cases leading to premature death). • Restricted activity days occur when symptoms are sufficient to limit usual activities such as work or study. These days aren’t shared evenly across the population – people with asthma or other respiratory conditions would likely have more restricted activity days. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
Preventable mortality for ages 0 to 74 years by LGA, from 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.