Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia

2013 ◽  
Vol 57 (1) ◽  
pp. 149-165 ◽  
Author(s):  
Azizur Rahman ◽  
Ann Harding ◽  
Robert Tanton ◽  
Shuangzhe Liu
Keyword(s):  
Small Area ◽  
Microsimulation Model ◽  
Small Area Level ◽  
Spatial Microsimulation

Predicting The Need For Aged Care Services At The Small Area Level: The CAREMOD Spatial Microsimulation Model

2008 ◽  
Vol 2 (2) ◽  
pp. 27-42 ◽  
Author(s):  
Sharyn Lymer ◽  
Laurie Brown ◽  
Ann Harding ◽  
Mandy Yap
Keyword(s):  
Small Area ◽  
Aged Care ◽  
Microsimulation Model ◽  
Care Services ◽  
Small Area Level ◽  
Spatial Microsimulation

Spatial microsimulation modelling for retail market analysis at the small-area level

2007 ◽  
Vol 31 (2) ◽  
pp. 162-187 ◽  
Author(s):  
Kazumasa Hanaoka ◽  
Graham P. Clarke
Keyword(s):  
Small Area ◽  
Market Analysis ◽  
Retail Market ◽  
Small Area Level ◽  
Spatial Microsimulation

scholarly journals Spatial microsimulation of osteoarthritis prevalence at the small area level in England – Constraint selection for a 2-stage microsimulation process

2018 ◽  
Vol 12 (2) ◽  
pp. 36-50
Author(s):  
Onosi Sylvia Ifesemen1 ◽  
Thomas Bestwick-Stevenson ◽  
Kimberley L. Edwards
Keyword(s):  
Small Area ◽  
Small Area Level ◽  
Spatial Microsimulation ◽  
Selection For ◽  
Constraint Selection

scholarly journals The Spatial Distribution of Labour Force Participation and Market Earnings at the Sub-National Level in Ireland

2011 ◽  
Vol 3 (1) ◽  
pp. 80-101
Author(s):  
Karyn Morrissey ◽  
Cathal O'Donoghue
Keyword(s):  
Spatial Distribution ◽  
Small Area ◽  
Labour Force ◽  
National Level ◽  
Labour Force Participation ◽  
Spatial Modelling ◽  
Modelling Framework ◽  
Market Income ◽  
Small Area Level ◽  
Spatial Microsimulation

The main aim of this paper is to provide a spatial modelling framework for labour force participation and income estimation. The development of a household income distribution for Ireland had previously been hampered by the lack of disaggregated data on individual earnings. Spatial microsimulation through a process of calibration provides a method which allows one to recreate the spatial distribution LFP and household market income at the small area level. Further analysis examines the relationship between LFP, occupational type and market income at the small area level in Co. Galway Ireland.

Examining the factors associated with depression at the small area level in Ireland using spatial microsimulation techniques

2010 ◽  
Vol 43 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Karyn Morrissey ◽  
Stephen Hynes ◽  
Graham Clarke ◽  
Cathal O'Donoghue
Keyword(s):  
Small Area ◽  
Factors Associated ◽  
Small Area Level ◽  
Spatial Microsimulation

scholarly journals Forecasting of Lung Cancer Incident Cases at the Small-Area Level in Victoria, Australia

2021 ◽  
Vol 18 (10) ◽  
pp. 5069
Author(s):  
Win Wah ◽  
Rob G. Stirling ◽  
Susannah Ahern ◽  
Arul Earnest
Keyword(s):  
Lung Cancer ◽  
Small Area ◽  
Health Planning ◽  
Temporal Trends ◽  
State Level ◽  
The Elderly ◽  
Ageing Population ◽  
Temporal Models ◽  
Small Area Level ◽  
Incident Cases

Predicting lung cancer cases at the small-area level is helpful to quantify the lung cancer burden for health planning purposes at the local geographic level. Using Victorian Cancer Registry (2001–2018) data, this study aims to forecast lung cancer counts at the local government area (LGA) level over the next ten years (2019–2028) in Victoria, Australia. We used the Age-Period-Cohort approach to estimate the annual age-specific incidence and utilised Bayesian spatio-temporal models that account for non-linear temporal trends and area-level risk factors. Compared to 2001, lung cancer incidence increased by 28.82% from 1353 to 1743 cases for men and 78.79% from 759 to 1357 cases for women in 2018. Lung cancer counts are expected to reach 2515 cases for men and 1909 cases for women in 2028, with a corresponding 44% and 41% increase. The majority of LGAs are projected to have an increasing trend for both men and women by 2028. Unexplained area-level spatial variation substantially reduced after adjusting for the elderly population in the model. Male and female lung cancer cases are projected to rise at the state level and in each LGA in the next ten years. Population growth and an ageing population largely contributed to this rise.

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