A virtual earth model of the dementias in China

Robertson, H; Nicholas, N; Travaglia, J; Hayen, A; Georgiou, A

A virtual earth model of the dementias in China

Robertson, H

Nicholas, N Travaglia, J

Hayen, A

Georgiou, A

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Publication Type:: Journal Article
Citation:: Studies in Health Technology and Informatics, 2017, 245 pp. 569 - 572
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Robertson, H https://orcid.org/0000-0002-0251-7682	en_US
dc.contributor.author	Nicholas, N	en_US
dc.contributor.author	Travaglia, J https://orcid.org/0000-0002-7537-0466	en_US
dc.contributor.author	Hayen, A https://orcid.org/0000-0003-4046-8030	en_US
dc.contributor.author	Georgiou, A	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Studies in Health Technology and Informatics, 2017, 245 pp. 569 - 572	en_US
dc.identifier.isbn	9781614998297	en_US
dc.identifier.issn	0926-9630	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123415
dc.description.abstract	© 2017 International Medical Informatics Association (IMIA) and IOS Press. This developmental project was undertaken to explore how applying spatial science analysis and visualisation methods might inform societies undergoing significant structural and demographic change. China is rapidly transitioning to an aged society. It already exceeds all other countries in its population aged 65 years and over. Dementia is closely correlated with ageing and intersects with a variety of physical and cognitive disabilities. Information dashboards are a growing part of health and social policy data environments. These visual data applications increasingly include mapping capabilities. In this paper, we explore the utility of a geographic modelling approach to exploring the complex nature of population ageing and the dementias in China.	en_US
dc.relation.ispartof	Studies in Health Technology and Informatics	en_US
dc.relation.isbasedon	10.3233/978-1-61499-830-3-569	en_US
dc.subject.classification	Medical Informatics	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Dementia	en_US
dc.subject.mesh	Population Dynamics	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Public Policy	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Aged, 80 and over	en_US
dc.subject.mesh	China	en_US
dc.subject.mesh	Statistics as Topic	en_US
dc.title	A virtual earth model of the dementias in China	en_US
dc.type	Journal Article
utslib.citation.volume	245	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	0807 Library and Information Studies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	245	en_US

Abstract:

© 2017 International Medical Informatics Association (IMIA) and IOS Press. This developmental project was undertaken to explore how applying spatial science analysis and visualisation methods might inform societies undergoing significant structural and demographic change. China is rapidly transitioning to an aged society. It already exceeds all other countries in its population aged 65 years and over. Dementia is closely correlated with ageing and intersects with a variety of physical and cognitive disabilities. Information dashboards are a growing part of health and social policy data environments. These visual data applications increasingly include mapping capabilities. In this paper, we explore the utility of a geographic modelling approach to exploring the complex nature of population ageing and the dementias in China.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/123415