A New MSGSA-Optimized Dynamic Window of Spatiotemporal Scan Statistics for Disease Outbreak Detection

The spatiotemporal scan statistics proposed by Kulldorff have been applied to detect numerous disease clusters, and scan statistics based on heuristic algorithm optimization have also been utilized for disease cluster detection. The gravitational search algorithm (GSA) and the recent human mental se...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.10821-10834
Hauptverfasser:	Wang, Haiqi, Kong, Haoran, Yan, Bin, Li, Liuke, Xu, Jianbo, Wang, Zhihai, Wang, Qiong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering algorithms Clusters Cylinders Detection Dimensions Disease outbreaks Diseases Epidemics Gravitational search algorithm (GSA) Gravity Hand-foot-and-mouth disease Heuristic algorithms Heuristic methods mental search Optimization Outbreaks Problem solving scan statistics Scanning Search algorithms Social factors spatiotemporal anomaly detection spatiotemporal dynamic scanning window Spatiotemporal phenomena Statistical analysis Statistical methods Statistics
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