Spatial-temporal Clustering
Spatial-Temporal Clustering is a methodological framework in disease surveillance geography that identifies non-random aggregations of health events across both geographic space and chronological time, distinguishing it from purely spatial or temporal analysis techniques by integrating dual-dimensional patterns to detect and evaluate epidemiologically significant clusters.
618
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42.1K
Citations
2.8K
Authors
1.1K
Institutions
Publications per year
2017–2026
271
618
The detection of disease clustering and a generalized regression approach.
Nathan Mantel · PubMed · 1967 · 11.7K citations · Full text
ST-DBSCAN: An algorithm for clustering spatial–temporal data
Derya Birant, Alp Kut · Data & Knowledge Engineering · 2006 · 1.4K citations
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Chinese Center For Disease Control and Prevention
Beijing, China
14 h-index
48 publications
2.8K citations
Harvard University
Cambridge, United States
13 h-index
31 publications
1.5K citations

Johns Hopkins University
Baltimore, United States
12 h-index
31 publications
1.2K citations
University of California, Davis
Davis, United States
10 h-index
32 publications
2.2K citations
University of Oxford
Oxford, United Kingdom
9 h-index
26 publications
686 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
9 h-index
23 publications
956 citations
University of Washington
Seattle, United States
9 h-index
12 publications
918 citations
University of Southern California
Los Angeles, United States
8 h-index
13 publications
572 citations
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35 publications · 1.3K citations
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18 publications · 685 citations
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Repository · 18 publications · 12.1K citations
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16 publications · 437 citations
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11 publications · 355 citations
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