A virtual earth model of the dementias in china

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A Virtual Earth Model of the Dementias in China Presented by Professor Andrew Georgiou Macquarie University AUSTRALIA

Transcript of A virtual earth model of the dementias in china

Page 1: 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

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Contents

• Introduction

• Population Ageing in China

• The Dementias in China

• Geographic Analysis

• Spatial Visualisation

• Discussion

• Conclusion

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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

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Ageing Composition in China - Older and Oldest Old

22,359,38326,915,231 31,521,608

41,405,874

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72,703,899

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65+ 80+

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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.

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PubMed Search: Dementia China (2017)

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Age-Cohort Dementia and AD Rates from Chan et al (2013) The Lancet

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Major Dementia Sub-Types - Top 10 County Estimates 2010

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Total 55+ w/AD Total 55+ w/Other Total 55+ w/ Dementia

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Population Aged 65+ by County 2010 Census

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Dementia Estimation by County2010 Census

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Dementia Data Transferred into Google Earth

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3D Visualisation of Dementia Data

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Sub-Type Visualisation – Alzheimer's Estimate by County

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AD Graphical Data in Combination with County Geography

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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.)

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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