Journal
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume 21, Issue 5, Pages 555-572Publisher
SPRINGER
DOI: 10.1007/s00477-007-0135-0
Keywords
medical geography; health; disease; epidemic; uncertainty; BME; interdisciplinary
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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.
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