Cluster Outbreak Detection
Cluster Outbreak Detection is a methodological framework within cancer epidemiology that identifies statistically significant aggregations of cancer cases in specific geographic regions or time periods to distinguish them from random spatial or temporal distributions.
53
Publications
2.4K
Citations
299
Authors
110
Institutions
Publications per year
2017–2026
19
Parents
53
Michael R. Desjardins, Alexander Hohl, Eric Delmelle · Applied Geography · 2020 · 391 citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +16
A Bayesian Spatial Scan Statistic
Daniel B. Neill, Andrew Moore, Gregory F. Cooper · 2005 · 125 citations
1–5 of 53
299
6
h-index
3
h-index
New York City Department of Health and Mental Hygiene, United States
3 publications · 116 citations
3
h-index
3
h-index
3
h-index
1–5 of 299
110
Harvard University
Cambridge, United States
9 h-index
35 publications
1.7K citations

Brigham and Women's Hospital
Boston, United States
5 h-index
20 publications
926 citations
New York City Department of Health and Mental Hygiene
New York, United States
5 h-index
37 publications
1.5K citations
Harvard Pilgrim Health Care
Boston, United States
5 h-index
16 publications
897 citations
University of California, Irvine
Irvine, United States
3 h-index
3 publications
119 citations

Boston Children's Hospital
Boston, United States
3 h-index
7 publications
165 citations

Centers for Disease Control and Prevention
Atlanta, United States
3 h-index
18 publications
349 citations
Christiana Care Health System
Wilmington, United States
2 h-index
2 publications
35 citations
1–8 of 110
EID · 6 publications · 175 citations
6
h-index
ICHE · 3 publications · 45 citations
3
h-index
3 publications · 125 citations
3
h-index
2 publications · 249 citations
2
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2 publications · 108 citations
2
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1–5