Cargando…
Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk
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 coll...
Autor principal: | Congdon, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3823327/ https://www.ncbi.nlm.nih.gov/pubmed/24129116 http://dx.doi.org/10.3390/ijerph10105011 |
Ejemplares similares
-
Estimating Prevalence of Coronary Heart Disease for Small Areas Using Collateral Indicators of Morbidity
por: Congdon, Peter
Publicado: (2010) -
Small-scale health-related indicator acquisition using secondary data spatial interpolation
por: Meng, Gang, et al.
Publicado: (2010) -
Interpolation of spatial data : some theory for kriging /
por: Stein, Michael Leonard
Publicado: (1999) -
Spatial interpolation for climate data : the use of GIS in climatology and meterology /
Publicado: (2007) -
A multilevel model for cardiovascular disease prevalence in the US and its application to micro area prevalence estimates
por: Congdon, Peter
Publicado: (2009)