SaTScan information

SaTScan is a software tool that employs scan statistics for the spatial and temporal analysis of clusters of events.^[1]^[2]^[3]^[4] The software is trademarked by Martin Kulldorff, and was designed originally for public health and epidemiology to identify clusters of cases in both space (geographical location) and time and to perform statistical analysis to determine if these clusters are significantly different from what would be expected by chance^[1]^[5]^[6] The software provides a user-friendly interface and a range of statistical methods, making it accessible to researchers and practitioners.^[1]^[7] While not a full Geographic Information System, the outputs from SaTScan can be integrated with software such as ArcGIS or QGIS to visualize and analyze spatial data, and to map the distribution of various phenomena.

^ ^a ^b ^c Kulldorff, Martin (2022). "SaTScanJ User Guide" (PDF). SaTScan. SaTScan™. Retrieved 11 February 2023.
^ "SaTScan™ - Spatial and Space-Time Scan Statistics". National Cancer Institute: The Division of Cancer Control and Population Sciences (DCCPS). Retrieved 11 February 2023.
^ Blair, Kimberly (October 26, 2014). "UWF students turn quality-of-life data detectives". Pensacola News Journal. Retrieved February 11, 2023.
^ Glaz, J.; Naus, J.; Wallenstein, S. (2001). "Introduction". Scan Statistics. Springer Series in Statistics. pp. 3–9. doi:10.1007/978-1-4757-3460-7_1. ISBN 978-1-4419-3167-2.
^ Elias, Johannes; Harmsen, Dag; Claus, Heike; Hellenbrand, Wiebke; Frosch, Matthias; Vogel, Ulrich (2006). "Spatiotemporal Analysis of Invasive Meningococcal Disease, Germany". Emerging Infectious Diseases. 12 (11): 1689–1695. PMC 3372358. PMID 17283618.
^ Yang, Shu-qin; Fang, Zheng-gang; Lv, Cai-xia; An, Shu-yi; Guan, Peng; Huang, De-sheng; Wu, Wei (February 2022). "Spatiotemporal cluster analysis of COVID-19 and its relationship with environmental factors at the city level in mainland China". Environmental Science and Pollution Research. 29 (9): 13386–13395. doi:10.1007/s11356-021-16600-9. PMC 8483427. PMID 34595708.
^ "SaTScan" (PDF). SaTScan License Agreement. SaTScan™. Retrieved 11 February 2023.

[SaTScan1-1] Kulldorff, Martin (2022). "SaTScanJ User Guide" (PDF). SaTScan. SaTScan™. Retrieved 11 February 2023.

[NationalCancerInstitute1-2] "SaTScan™ - Spatial and Space-Time Scan Statistics". National Cancer Institute: The Division of Cancer Control and Population Sciences (DCCPS). Retrieved 11 February 2023.

[Blair1-3] Blair, Kimberly (October 26, 2014). "UWF students turn quality-of-life data detectives". Pensacola News Journal. Retrieved February 11, 2023.

[Glaz1-4] Glaz, J.; Naus, J.; Wallenstein, S. (2001). "Introduction". Scan Statistics. Springer Series in Statistics. pp. 3–9. doi:10.1007/978-1-4757-3460-7_1. ISBN 978-1-4419-3167-2.

[5] Elias, Johannes; Harmsen, Dag; Claus, Heike; Hellenbrand, Wiebke; Frosch, Matthias; Vogel, Ulrich (2006). "Spatiotemporal Analysis of Invasive Meningococcal Disease, Germany". Emerging Infectious Diseases. 12 (11): 1689–1695. PMC 3372358. PMID 17283618.

[6] Yang, Shu-qin; Fang, Zheng-gang; Lv, Cai-xia; An, Shu-yi; Guan, Peng; Huang, De-sheng; Wu, Wei (February 2022). "Spatiotemporal cluster analysis of COVID-19 and its relationship with environmental factors at the city level in mainland China". Environmental Science and Pollution Research. 29 (9): 13386–13395. doi:10.1007/s11356-021-16600-9. PMC 8483427. PMID 34595708.

[SaTScan2-7] "SaTScan" (PDF). SaTScan License Agreement. SaTScan™. Retrieved 11 February 2023.

SaTScan information

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SaTScan

Martin Kulldorff

Geostatistics

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Scan statistic

Spatial heterogeneity