A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia
Disease outbreaks are difficult to detect. Some diseases appear rapidly, while others take time to gestate and become apparent over long time intervals. This research project aims to develop new technology to extend the capabilities of current GIS to improve the early detection and identification of...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
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Ministry of Health
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/37560 |
| _version_ | 1848755082827399168 |
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| author | Eagleson, Serryn Watkins, Rochelle Veenendaal, Bert Wright, Graeme Plant, Aileen |
| author2 | Paul White |
| author_facet | Paul White Eagleson, Serryn Watkins, Rochelle Veenendaal, Bert Wright, Graeme Plant, Aileen |
| author_sort | Eagleson, Serryn |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Disease outbreaks are difficult to detect. Some diseases appear rapidly, while others take time to gestate and become apparent over long time intervals. This research project aims to develop new technology to extend the capabilities of current GIS to improve the early detection and identification of disease outbreaks.The primary data source for outbreak detection in Australia is disease notifications.Whenever a person is diagnosed with a notifiable infectious disease, a record is made into a national surveillance database. This database tracks the number ofpeople and over 60 different diseases, including measles, mumps, HIV/AIDS,influenza, Ross River virus and hepatitis.Disease notifications and GIS provide a key link for analysing disease outbreaks.Working within a GIS framework the authors have integrated spatial/temporal algorithms which aim to detect disease outbreaks before they become widespread.The algorithms have been programmed using R and embedded within a GIS prototype. The prototype has been programmed using MapWindow components.MapWindow is an open-source programmable GIS for creating custom GIS applications.The GIS prototype enables the user to quickly display disease information by postcode. Also, the temporal and spatial algorithms allow the user the ability to scan the 60 different sets of disease notifications and detect abnormalities within these datastreams. |
| first_indexed | 2025-11-14T08:50:39Z |
| format | Conference Paper |
| id | curtin-20.500.11937-37560 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:50:39Z |
| publishDate | 2006 |
| publisher | Ministry of Health |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-375602017-01-30T14:04:25Z A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia Eagleson, Serryn Watkins, Rochelle Veenendaal, Bert Wright, Graeme Plant, Aileen Paul White Disease outbreaks are difficult to detect. Some diseases appear rapidly, while others take time to gestate and become apparent over long time intervals. This research project aims to develop new technology to extend the capabilities of current GIS to improve the early detection and identification of disease outbreaks.The primary data source for outbreak detection in Australia is disease notifications.Whenever a person is diagnosed with a notifiable infectious disease, a record is made into a national surveillance database. This database tracks the number ofpeople and over 60 different diseases, including measles, mumps, HIV/AIDS,influenza, Ross River virus and hepatitis.Disease notifications and GIS provide a key link for analysing disease outbreaks.Working within a GIS framework the authors have integrated spatial/temporal algorithms which aim to detect disease outbreaks before they become widespread.The algorithms have been programmed using R and embedded within a GIS prototype. The prototype has been programmed using MapWindow components.MapWindow is an open-source programmable GIS for creating custom GIS applications.The GIS prototype enables the user to quickly display disease information by postcode. Also, the temporal and spatial algorithms allow the user the ability to scan the 60 different sets of disease notifications and detect abnormalities within these datastreams. 2006 Conference Paper http://hdl.handle.net/20.500.11937/37560 Ministry of Health restricted |
| spellingShingle | Eagleson, Serryn Watkins, Rochelle Veenendaal, Bert Wright, Graeme Plant, Aileen A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia |
| title | A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia |
| title_full | A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia |
| title_fullStr | A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia |
| title_full_unstemmed | A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia |
| title_short | A GIS prototype for the automated detection and visualisation of disease outbreaks in Australia |
| title_sort | gis prototype for the automated detection and visualisation of disease outbreaks in australia |
| url | http://hdl.handle.net/20.500.11937/37560 |