Title |
Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging
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Published in |
International Journal of Health Geographics, November 2006
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DOI | 10.1186/1476-072x-5-52 |
Pubmed ID | |
Authors |
Pierre Goovaerts |
Abstract |
Geostatistical techniques that account for spatially varying population sizes and spatial patterns in the filtering of choropleth maps of cancer mortality were recently developed. Their implementation was facilitated by the initial assumption that all geographical units are the same size and shape, which allowed the use of geographic centroids in semivariogram estimation and kriging. Another implicit assumption was that the population at risk is uniformly distributed within each unit. This paper presents a generalization of Poisson kriging whereby the size and shape of administrative units, as well as the population density, is incorporated into the filtering of noisy mortality rates and the creation of isopleth risk maps. An innovative procedure to infer the point-support semivariogram of the risk from aggregated rates (i.e. areal data) is also proposed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
Switzerland | 1 | <1% |
Chile | 1 | <1% |
Germany | 1 | <1% |
Norway | 1 | <1% |
Uruguay | 1 | <1% |
India | 1 | <1% |
France | 1 | <1% |
Spain | 1 | <1% |
Other | 3 | 2% |
Unknown | 108 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 20% |
Student > Ph. D. Student | 23 | 19% |
Professor > Associate Professor | 21 | 17% |
Student > Master | 17 | 14% |
Student > Doctoral Student | 5 | 4% |
Other | 16 | 13% |
Unknown | 16 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 19% |
Earth and Planetary Sciences | 16 | 13% |
Mathematics | 14 | 11% |
Environmental Science | 14 | 11% |
Social Sciences | 8 | 7% |
Other | 28 | 23% |
Unknown | 20 | 16% |