Grant Number:	1R43CA105819-01 Interpret this number
Primary Investigator:	Goovaerts, Pierre
Organization:	Biomedware
Project Title:	Geostatistical Software for Health and Exposure Analysis
Fiscal Year:	2004

DESCRIPTION (provided by applicant): The overall objective of this project is to develop 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, spatial smoothing and filtering to detect regional patterns and hotspots, spatial interpolation and stochastic modeling of exposure data, and the investigation and visualization of scale-dependent relationships between exposure and health data. Instructional materials will be developed to promote the use of this relatively new methodology among health scientists. Phase I of the project will: 1. build on a firm foundation of completed simulation studies to further demonstrate and evaluate the ability of geostatistics to accurately map underlying local- and regional-scale risk patterns and to investigate scale-dependent relationships among diseases and environmental factors; 2. conduct a requirement analysis to identify the optimal geostatistical methods and functionalities to incorporate in the software; 3. develop and test algorithms and a software prototype to evaluate feasibility of the proposed approach.




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 00:00:00.0; 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 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 00:00:00.0; 42(10), p. 3648-54.
PMID: 18546703
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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 00:00:00.0; 42(10), p. 3655-61.
PMID: 18546704
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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 00:00:00.0; 7, p. 6.
EPub date: 2008-02-04 00:00:00.0.
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; 5, p. 52.
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 00:00:00.0; 3(1), p. 14.
EPub date: 2004-07-23 00:00:00.0.
PMID: 15272930
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