Interactive spatiotemporal modelling of health systems: the SEKS–GUI framework

  • Hwa-Lung Yu
  • Alexander Kolovos
  • George Christakos
  • Jiu-Chiuan Chen
  • Steve Warmerdam
  • Boris Dev
Original Paper

Abstract

This paper describes the spatiotemporal epistematics knowledge synthesis and graphical user interface (SEKS–GUI) framework and its application in medical geography problems. Based on sound theoretical reasoning, the interactive software library of SEKS–GUI explores heterogeneous (spatially non-homogeneous and temporally non-stationary) health attribute distributions (disease incidence, mortality, human exposure, epidemic propagation etc.); expresses the health system’s dependence structure using (ordinary and generalized) spatiotemporal covariance models; synthesizes core knowledge bases, empirical evidence and multi-sourced system uncertainty; and generates a meaningful picture of the real-world system using space–time dependent probability functions and associated maps of health attributes. The implementation stages of the SEKS–GUI library are described in considerable detail using appropriate screens. The wide applicability of SEKS–GUI is demonstrated by reviewing a selection of real-world case studies.

Keywords

Medical geography Health Disease Epidemic Uncertainty BME Interdisciplinary 

Notes

Acknowledgments

The research was supported by grants from the Fred J. Hansen Institute (Grant No. 54266A P3590), the Oak Ridge National Lab (OR7865-001.01), and the National Institute of Environmental Health Sciences (P30ES10126).

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Hwa-Lung Yu
    • 1
  • Alexander Kolovos
    • 2
  • George Christakos
    • 1
  • Jiu-Chiuan Chen
    • 3
  • Steve Warmerdam
    • 1
  • Boris Dev
    • 1
  1. 1.Department of GeographySan Diego State UniversitySan DiegoUSA
  2. 2.SAS Institute, Inc.CaryUSA
  3. 3.Department of EpidemiologyUniversity of North CarolinaChapel HillUSA

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