Space-time Permutation Models
Space-Time Permutation Models is a statistical method in spatial cluster analysis that identifies space-time disease clusters by permuting case times within locations to assess the significance of observed spatiotemporal patterns while adjusting for purely spatial and purely temporal trends.
37
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2.7K
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189
Authors
114
Institutions
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2017–2026
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Viviana González-Astudillo, Rachel Allavena, A. McKinnon et al. · Scientific Reports · 2017 · 131 citations · Full text
Veterinary Medicine, Infectious Diseases, Veterinary Epidemiology +10
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114

Chiang Mai University
Chiang Mai, Thailand
3 h-index
7 publications
195 citations
University of Guelph
Guelph, Canada
3 h-index
13 publications
299 citations
Harvard Pilgrim Health Care
Boston, United States
2 h-index
5 publications
1.3K citations
New York City Department of Health and Mental Hygiene
New York, United States
2 h-index
6 publications
3.5K citations
Harvard University
Cambridge, United States
2 h-index
5 publications
1.3K citations
University of California, Davis
Davis, United States
2 h-index
3 publications
59 citations

Walailak University
Nakhon Si Thammarat, Thailand
2 h-index
2 publications
95 citations
Netherlands Institute for Health Services Research
Utrecht, The Netherlands
2 h-index
2 publications
95 citations
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6 publications · 310 citations
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2 publications · 95 citations
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2 publications · 84 citations
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2 publications · 36 citations
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2 publications · 59 citations
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