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Local Modelling Techniques for Assessing Micro-Level Impacts of Risk Factors in Complex Data: Understanding Health and Socioeconomic Inequalities in Childhood Educational Attainments
- Source :
- PLoS ONE, PLoS ONE, Vol 9, Iss 11, p e113592 (2014)
- Publication Year :
- 2014
- Publisher :
- Public Library of Science, 2014.
-
Abstract
- Although inequalities in health and socioeconomic status have an important influence on childhood educational performance, the interactions between these multiple factors relating to variation in educational outcomes at micro-level is unknown, and how to evaluate the many possible interactions of these factors is not well established. This paper aims to examine multi-dimensional deprivation factors and their impact on childhood educational outcomes at micro-level, focusing on geographic areas having widely different disparity patterns, in which each area is characterised by six deprivation domains (Income, Health, Geographical Access to Services, Housing, Physical Environment, and Community Safety). Traditional health statistical studies tend to use one global model to describe the whole population for macro-analysis. In this paper, we combine linked educational and deprivation data across small areas (median population of 1500), then use a local modelling technique, the Takagi-Sugeno fuzzy system, to predict area educational outcomes at ages 7 and 11. We define two new metrics, "Micro-impact of Domain" and "Contribution of Domain", to quantify the variations of local impacts of multidimensional factors on educational outcomes across small areas. The two metrics highlight differing priorities. Our study reveals complex multi-way interactions between the deprivation domains, which could not be provided by traditional health statistical methods based on single global model. We demonstrate that although Income has an expected central role, all domains contribute, and in some areas Health, Environment, Access to Services, Housing and Community Safety each could be the dominant factor. Thus the relative importance of health and socioeconomic factors varies considerably for different areas, depending on the levels of each of the other factors, and therefore each component of deprivation must be considered as part of a wider system. Childhood educational achievement could benefit from policies and intervention strategies that are tailored to the local geographic areas' profiles.
- Subjects :
- Spatial Epidemiology
Databases, Factual
Epidemiology
Health Status
Social Sciences
Social Environment
Pediatrics
Cultural Anthropology
Child Development
Sociology
Science Policy and Economics
Risk Factors
Geoinformatics
Medicine and Health Sciences
Public and Occupational Health
Child
Geography
Child Health
Social Discrimination
Socioeconomic Aspects of Health
Income
Medicine
Epidemiological Methods and Statistics
Environmental Health
Research Article
QA75
Computer and Information Sciences
Science Policy
Science
Political Science
Public Policy
Human Geography
Fuzzy Logic
Humans
Geographic and National Differences
Spatial Analysis
Health Care Policy
Models, Theoretical
Computing Methods
Health Care
Socioeconomic Factors
Poverty Reduction
Anthropology
Earth Sciences
Housing
Economic Epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 9
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.pmid.dedup....a3949244718539e4d53e16343e7ff56a