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Grant Details

Grant Number: 5R44CA105819-03 Interpret this number
Primary Investigator: Goovaerts, Pierre
Organization: Biomedware
Project Title: Geostatistical Software for Health and Exposure Analysis
Fiscal Year: 2006
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Abstract

DESCRIPTION (provided by applicant): This SBIR project is developing the first geostatistical software to offer tools that are specifically designed for the analysis of health data (e.g. cancer rates), providing: description of spatial patterns of disease and identification of scales of variability, estimation and mapping of risk from empirical frequencies measured over different supports, spatial interpolation and stochastic modeling of exposure data, and the investigation and visualization of scale-dependent relationships between exposure and health data. This project will accomplish 6 aims: 1. Conduct a requirements analysis to identify the spatial methods and functionality to incorporate into the software. 2. Develop and test innovative geostatistical techniques for spatial filtering of cancer rates and analysis of scale-dependent correlations. 3. Develop a novel approach for change of support (i.e. spatial disaggregation or side-scaling), quantification and propagation of uncertainty through local cluster analysis and ecological regression. 4. Build and test a complete set of functionalities based on results of research and simulation studies, which will be incorporated into Biomedware's space-time visualization and analysis technology. 5. Apply the software and methods to demonstrate the approach and its unique benefits for exposure and health risk assessment. 6. Create instructional materials, including a short course, to foster the adoption of this approach in health science. Feasibility of this project was demonstrated in the Phase I. This Phase II project will accomplish aims three through six. These technologic, scientific and commercial innovations will revolutionize our ability to interpret geographic variation in cancer mortality, understand relationships between cancers at different spatial scales and over different supports, and to quantify risk factors.

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Publications

GEOGRAPHICALLY-WEIGHTED REGRESSION ANALYSIS OF PERCENTAGE OF LATE-STAGE PROSTATE CANCER DIAGNOSIS IN FLORIDA.
Authors: Goovaerts P. , Xiao H. , Adunlin G. , Ali A. , Tan F. , Gwede C.K. , Huang Y. .
Source: Applied geography (Sevenoaks, England), 2015-08-01; 62, p. 191-200.
PMID: 26257450
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Racial disparities in lung cancer mortality in U.S. congressional districts, 1990-2001.
Authors: Gallagher C.M. , Goovaerts P. , Jacquez G.M. , Hao Y. , Jemal A. , Meliker J.R. .
Source: Spatial and spatio-temporal epidemiology, 2009 Oct-Dec; 1(1), p. 41-7.
PMID: 20234795
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Accounting for rate instability and spatial patterns in the boundary analysis of cancer mortality maps.
Authors: Goovaerts P. .
Source: Environmental and ecological statistics, 2008 Dec; 15(4), p. 421-446.
PMID: 19023455
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Geostatistical modeling of the spatial distribution of soil dioxin in the vicinity of an incinerator. 2. Verification and calibration study.
Authors: Goovaerts P. , Trinh H.T. , Demond A.H. , Towey T. , Chang S.C. , Gwinn D. , Hong B. , Franzblau A. , Garabrant D. , Gillespie B.W. , et al. .
Source: Environmental science & technology, 2008-05-15; 42(10), p. 3655-61.
PMID: 18546704
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Geostatistical modeling of the spatial distribution of soil dioxins in the vicinity of an incinerator. 1. Theory and application to Midland, Michigan.
Authors: Goovaerts P. , Trinh H.T. , Demond A. , Franzblau A. , Garabrant D. , Gillespie B. , Lepkowski J. , Adriaens P. .
Source: Environmental science & technology, 2008-05-15; 42(10), p. 3648-54.
PMID: 18546703
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How does Poisson kriging compare to the popular BYM model for mapping disease risks?
Authors: Goovaerts P. , Gebreab S. .
Source: International journal of health geographics, 2008-02-04; 7, p. 6.
EPub date: 2008-02-04.
PMID: 18248676
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Kriging and Semivariogram Deconvolution in the Presence of Irregular Geographical Units.
Authors: Goovaerts P. .
Source: Mathematical geology, 2008; 40(1), p. 101-128.
PMID: 18725997
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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.
Authors: Goovaerts P. .
Source: International journal of health geographics, 2006-11-30; 5, p. 52.
EPub date: 2006-11-30.
PMID: 17137504
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Detection of temporal changes in the spatial distribution of cancer rates using local Moran's I and geostatistically simulated spatial neutral models.
Authors: Goovaerts P. , Jacquez G.M. .
Source: Journal of geographical systems, 2005 May; 7(1), p. 137-159.
PMID: 16710441
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Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York.
Authors: Goovaerts P. , Jacquez G.M. .
Source: International journal of health geographics, 2004-07-23; 3(1), p. 14.
EPub date: 2004-07-23.
PMID: 15272930
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