Outbreak Cluster Detection
Outbreak Cluster Detection is a spatial cluster analysis method that identifies statistically significant aggregations of disease cases in space and time to distinguish anomalous outbreaks from background incidence patterns.
116
Publications
4.9K
Citations
604
Authors
261
Institutions
Publications per year
2017–2026
48
Parents
116
Michael R. Desjardins, Alexander Hohl, Eric Delmelle · Applied Geography · 2020 · 391 citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +16
Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States
Alexander Hohl, Eric Delmelle, Michael R. Desjardins et al. · Spatial and Spatio-temporal Epidemiology · 2020 · 178 citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +17
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261
Harvard University
Cambridge, United States
13 h-index
39 publications
2K citations
Harvard Pilgrim Health Care
Boston, United States
8 h-index
21 publications
1.1K citations

Centers for Disease Control and Prevention
Atlanta, United States
6 h-index
44 publications
1.3K citations

Boston Children's Hospital
Boston, United States
6 h-index
15 publications
659 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
11 publications
610 citations

Brigham and Women's Hospital
Boston, United States
5 h-index
20 publications
946 citations

University of North Carolina at Charlotte
Charlotte, United States
4 h-index
7 publications
827 citations
National Institute for Public Health and the Environment
De Bilt, The Netherlands
4 h-index
12 publications
404 citations
1–8 of 261
EID · 7 publications · 342 citations
7
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Repository · 4 publications · 70 citations
4
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4 publications · 82 citations
4
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3 publications · 217 citations
3
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3 publications · 134 citations
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