A virtual earth model of the dementias in china
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Transcript of A virtual earth model of the dementias in china
A Virtual Earth Model of the Dementias in China
Presented by
Professor Andrew Georgiou
Macquarie University
AUSTRALIA
Contents
• Introduction
• Population Ageing in China
• The Dementias in China
• Geographic Analysis
• Spatial Visualisation
• Discussion
• Conclusion
Introduction
• Population ageing is an increasingly global concern
• It is affecting countries across the whole development spectrum
• China has the largest population of any single state
• That population is ageing rapidly, especially from 2025 onwards
• The dementias are an important element of this ageing pattern
• Dementia is closely linked to other chronic, high-care scenarios including overlapping physical and cognitive disability
• The health and social care requirements/costs of an ageing population will rise dramatically, demographic dynamics and composition matter
• Interventional possibilities will become increasingly important – medical and non-medical (lifestyle, education etc.)
• An improved health informatics will be key to managing the impact and societal effects of population ageing at this order of magnitude
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2020 2025 2030 2035 2040 2045 2050 2055 2060 2065
China Population Projection 65+ (000s) Medium Scenario
Source: UN 2015 Revised Projections
Ageing Composition in China - Older and Oldest Old
22,359,38326,915,231 31,521,608
41,405,874
59,972,043
72,703,899
92,269,905
120,571,815
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2015 2020 2025 2030 2035 2040 2045 2050
65+ 80+
Epidemiology of the Dementias in China
• By 2050 nearing 400 million people aged 65+
• Major growth in the oldest old, most prone to dementias and other neurodegenerative conditions
• Growing research base on ageing in China e.g. China Health and Retirement Longitudinal Study (CHARL) http://charls.pku.edu.cn/en
• Dementia prevalence variations by geography – mainly urban/rural split at present
• Female versus male life expectancies and social implications for care
• Changing educational patterns and attainment
• Rural/urban variations and population movements – tier 1-3 cities, internal migration etc.
PubMed Search: Dementia China (2017)
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Age-Cohort Dementia and AD Rates from Chan et al (2013) The Lancet
Major Dementia Sub-Types - Top 10 County Estimates 2010
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Pudongxin Chaoyang Haidian Tongzhou Rugao Yangpu Dongguan Minxing Rudong Putuo
Total 55+ w/AD Total 55+ w/Other Total 55+ w/ Dementia
Population Aged 65+ by County 2010 Census
Dementia Estimation by County2010 Census
Dementia Data Transferred into Google Earth
3D Visualisation of Dementia Data
Sub-Type Visualisation – Alzheimer's Estimate by County
AD Graphical Data in Combination with County Geography
Discussion
• Limitations include point-in-time data set, dementia rates by age-cohort only etc.
• Provides a developmental basis for spatial visualisation of major population-based health conditions across large geographies and populations
• Scale issue better addressed than in standard cartography (zoom in/out, pan and tilt etc.)
• Can add other data (demography, health, infrastructure) and geography (village, township, county, prefecture, province)
• China’s investment in geoscience is already significant, health informatics can parallel those developments – e.g. Digital Earth Society in Beijing
• Makes complex scenarios accessible to a large audience from differing technical backgrounds (informatics, clinical, administrative, financial etc.)
Conclusion
• Population ageing is a complex and, we suggest, non-linear process –changes will occur (e.g. dementia rates rise/fall, morbidity/mortality compression)
• Scale of China’s ageing is and will remain a care and resource challenge
• Population ageing is a truly spatial phenomenon – see previous slides!
• Visualisation supports multi-system strategies and interventions
• Complexity management increasingly important to sustainability
• China’s spatial science commitment is well-established
• Health informatics can, we propose, better integrate its agenda through use of spatial data strategies and tools
• A key step towards better management of population ageing and its inevitable consequences