Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation
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Correspondence: Pierre Goovaerts goovaerts@biomedware.com
International Journal of Health Geographics 2006, 5:7 doi:10.1186/1476-072X-5-7
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BioMed Central: 5 citations
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Methodology
How does Poisson kriging compare to the popular BYM model for mapping disease risks? Pierre Goovaerts, Samson Gebreab International Journal of Health Geographics 2008, 7:6 (4 February 2008) |
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Research article
Peter W Gething, Abdisalan M Noor, Catherine A Goodman, Priscilla W Gikandi, Simon I Hay, Shahnaaz K Sharif, Peter M Atkinson, Robert W Snow BMC Medicine 2007, 5:37 (11 December 2007) A space-time geostatistical model which compensates for missing data in health information systems provides robust estimates of national patterns of health service use and will enhance the assessment of health policy and service delivery changes.
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Research
Tuberculosis incidence in Portugal: spatiotemporal clustering Carla Nunes International Journal of Health Geographics 2007, 6:30 (11 July 2007) |
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Methodology
Pierre Goovaerts International Journal of Health Geographics 2006, 5:52 (30 November 2006) |
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Methodology
Mohammad Ali, Pierre Goovaerts, Nushrat Nazia, M Zahirul Haq, Mohammad Yunus, Michael Emch International Journal of Health Geographics 2006, 5:45 (13 October 2006) |