Spatial-temporal Cluster Analysis
Spatial-Temporal Cluster Analysis is a statistical method used in disease epidemiology that identifies geographic regions and time periods with significantly elevated disease incidence relative to background rates, thereby distinguishing spatiotemporal patterns of disease aggregation from random spatial or temporal variation.
284
Publications
26.6K
Citations
1.3K
Authors
553
Institutions
Publications per year
2017–2026
117
Parents
284
The detection of disease clustering and a generalized regression approach.
Nathan Mantel · PubMed · 1967 · 11.7K citations · Full text
An Introduction to Medical Statistics
F. N. D., H. O. Lancaster · Biometrics · 1975 · 406 citations
An Introduction to Medical Statistics
M. Greenwood · Nature · 1932 · 392 citations · Full text
1–5 of 284
1.3K
10
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 1.3K
553

Chinese Center For Disease Control and Prevention
Beijing, China
8 h-index
25 publications
1.5K citations

Johns Hopkins University
Baltimore, United States
7 h-index
20 publications
767 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
17 publications
508 citations
University of California, Davis
Davis, United States
7 h-index
19 publications
731 citations

Newcastle University
Newcastle upon Tyne, United Kingdom
6 h-index
17 publications
491 citations

Queensland University of Technology
Brisbane, Australia
6 h-index
18 publications
453 citations
Shandong Center for Disease Control and Prevention
Jinan, China
6 h-index
18 publications
653 citations
University of Bergen
Bergen, Norway
5 h-index
11 publications
572 citations
1–8 of 553
23 publications · 1K citations
18
h-index
10 publications · 290 citations
10
h-index
10 publications · 354 citations
10
h-index
9 publications · 380 citations
9
h-index
7 publications · 261 citations
7
h-index
1–5