Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"SaTScan"”.
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Rebuilding Coastal Mississippi Following Hurricane Katrina: A Spatial and Temporal Analysis
… software package, and the spatial scan statistic SaTScan. The results of these analyses show that recovery is not occurring evenly in space or time across the Gulf Coast. The level and extent of storm damage has a notable effect on the distribution and timing of reconstruction on the Gulf Coast. …
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A modeling framework for spatial transmission of Covid-19 in local communities
… is statistical modeling, implemented with SaTScan. It enabled us to identify periodic spatial-temporal COVID-19 clusters and the location of their probability of occurrence and assess the spatial clusters with respect to demographic factors of gender, race, and ethnicity. The second …
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The Thin Green Line: Geographies of Ecoterrorism In the United States
… permutation scan statistic was employed in SaTScan to determine where terrorism is clustered in both time and space. The majority of ecoterrorist incidents perpetrated in the United States showed a relatively stable, slowly increasing trend over time, with peaks in the 1990s and 2000s when …
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Socio-spatial inequalities in late-stage cancer diagnosis in Illinois: spatiotemporal trends and methodological challenges
… spatial scan statistic was implemented in SaTScan to detect primary clusters based on cancer data at the four levels. An interactive procedure involving SAS and Java programming, was designed to automatically run SaTScan hundreds of times. Characteristics of clusters at each reference level …
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Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach
… as CLAP (Cluster Location Analysis Procedure), Satscan and GAM (Geographical Analysis Machine). The outputs are very similar. XVI GIS presented in this thesis encompasses the SCS algorithm, statistics and neural networks for developing a hybrid predictive crime model, mapping, visualizing crime …
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Scalable data analytics techniques for summarizing spatial network-based observations
… of accidents, crimes, or diseases. SaTScan may miss many significant paths since a large fraction of the area bounded by circles for activities on a path will be empty. Previous network-based approaches only consider a small fraction of the network and only one significant network …
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Epidemiology of suburban deer
… model in the space-time scan statistic in SaTScan®, a significant viral “hot spot” was revealed for JC virus in DP (p=0.009). A significant cluster for LAC virus was also found in DP (p=0.005). All clusters were independent of each other. Temporal patterns for JC virus spanned samples from …
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A molecular epidemiological analysis of meningococcal isolates within Scotland 1972-1998
… their VR3 type. Using cluster detection software SaTScan to analyse all isolates, it was found there were 29 clusters in Scotland, from 1972-1998. These clusters included 63 cases, which accounted for 2.5% of all cases. A range of different strains caused the clusters that were identified in this …
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The Emergence of Lyme Disease in Appalachia (2000-2019)
Emerging infectious diseases continue to threaten human health and healthcare resources across the world, and with the sustained emergence of some like Lyme disease, this trend is only expected to get worse. Even though some research has examined the spread of Lyme disease in different parts of the …