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Bayesian spatial modelling of early childhood development in Australian Regions

Li, Mu; Baffour-Awuah, Bernard; Richardson, Alice

Description

Children's early development plays a vital role for maintaining healthy lives and influences future outcomes. It is also heavily affected by community factors which vary geographically. Direct methods do not provide a comprehensive picture of this variation, especially for areas with sparse populations and low data coverage. In the context of Australia, the Australian Early Development Census (AEDC) provides a measure of early child development upon school entry. There are two primary aims of...[Show more]

dc.contributor.authorLi, Mu
dc.contributor.authorBaffour-Awuah, Bernard
dc.contributor.authorRichardson, Alice
dc.date.accessioned2020-12-20T20:51:08Z
dc.date.available2020-12-20T20:51:08Z
dc.identifier.issn1476-072X
dc.identifier.urihttp://hdl.handle.net/1885/217672
dc.description.abstractChildren's early development plays a vital role for maintaining healthy lives and influences future outcomes. It is also heavily affected by community factors which vary geographically. Direct methods do not provide a comprehensive picture of this variation, especially for areas with sparse populations and low data coverage. In the context of Australia, the Australian Early Development Census (AEDC) provides a measure of early child development upon school entry. There are two primary aims of this study: (i) provide improved prevalence estimates of children who are considered as developmentally vulnerable in regions across Australia; (ii) ascertain how social-economic disadvantage partly explains the spatial variation. Methods: We used Bayesian spatial hierarchical models with the Socio-economic Indexes for Areas (SEIFA) as a covariate to provide improved estimates of all 335 SA3 regions in Australia. The study included 308,953 children involved in the 2018 AEDC where 21.7% of them were considered to be developmentally vulnerable in at least one domain. There are five domains of developmental vulnerability-physical health and wellbeing; social competence; emotional maturity; language and cognitive skills; and communication and general knowledge. Results: There are significant improvements in estimation of the prevalence of developmental vulnerability through incorporating the socio-economic disadvantage in an area. These improvements persist in all five domains-the largest improvements occurred in the Language and Cognitive Skills domain. In addition, our results reveal that there is an important geographical dimension to developmental vulnerability in Australia. Conclusion: Sparsely populated areas in sample surveys lead to unreliable direct estimates of the relatively small prevalence of child vulnerability. Bayesian spatial modelling can account for the spatial patterns in childhood vulnerability while including the impact of socio-economic disadvantage on geographic variation. Further investigation, using a broader range of covariates, could shed more light on explaining this spatial variation.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherBioMed Central
dc.sourceInternational Journal of Health Geographics
dc.titleBayesian spatial modelling of early childhood development in Australian Regions
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume19
dc.date.issued2020
local.identifier.absfor010401 - Applied Statistics
local.identifier.absfor160301 - Family and Household Studies
local.identifier.absfor111707 - Family Care
local.identifier.ariespublicationu3555277xPUB421
local.type.statusPublished Version
local.contributor.affiliationLi, Mu, College of Arts and Social Sciences, ANU
local.contributor.affiliationBaffour-Awuah, Bernard, College of Arts and Social Sciences, ANU
local.contributor.affiliationRichardson, Alice, Administrative Portfolio, ANU
local.bibliographicCitation.issue43
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage16
local.identifier.doi10.1186/s12942-020-00237-x
dc.date.updated2021-12-02T05:04:38Z
local.identifier.scopusID2-s2.0-85092765719
CollectionsANU Research Publications

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