Back to Search
Start Over
Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk
- Source :
- International Journal of Environmental Research and Public Health, Volume 10, Issue 10, Pages 5011-5025, International Journal of Environmental Research and Public Health, Vol 10, Iss 10, Pp 5011-5025 (2013)
- Publication Year :
- 2013
- Publisher :
- MDPI, 2013.
-
Abstract
- This paper considers estimation of disease prevalence for small areas (neighbourhoods) when the available observations on prevalence are for an alternative partition of a region, such as service areas. Interpolation to neighbourhoods uses a kernel method extended to take account of two types of collateral information. The first is morbidity and service use data, such as hospital admissions, observed for neighbourhoods. Variations in morbidity and service use are expected to reflect prevalence. The second type of collateral information is ecological risk factors (e.g., pollution indices) that are expected to explain variability in prevalence in service areas, but are typically observed only for neighbourhoods. An application involves estimating neighbourhood asthma prevalence in a London health region involving 562 neighbourhoods and 189 service (primary care) areas.
- Subjects :
- Collateral
Health, Toxicology and Mutagenesis
education
Prevalence
lcsh:Medicine
Service use
Primary care
Models, Biological
Article
disease prevalence
Risk Factors
Environmental health
London
Cluster Analysis
Humans
Ecological risk
Neighbourhood (mathematics)
Service (business)
Estimation
lcsh:R
Public Health, Environmental and Occupational Health
Urban Health
neighbourhoods
social sciences
asthma
Geography
Socioeconomic Factors
kernel
Data Interpretation, Statistical
population characteristics
spatial interpolation
human activities
geographic locations
Subjects
Details
- Language :
- English
- ISSN :
- 16604601 and 16617827
- Volume :
- 10
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- International Journal of Environmental Research and Public Health
- Accession number :
- edsair.doi.dedup.....1276013f591cf3ffc83cb3ca53af6731