"Space-Time Clustering" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A statistically significant excess of cases of a disease, occurring within a limited space-time continuum.
| Descriptor ID |
D013029
|
| MeSH Number(s) |
E05.318.740.250.700 N05.715.360.750.200.775 N06.850.520.830.250.700
|
| Concept/Terms |
Space-Time Clustering- Space-Time Clustering
- Clustering, Space-Time
- Clusterings, Space-Time
- Space Time Clustering
- Space-Time Clusterings
|
Below are MeSH descriptors whose meaning is more general than "Space-Time Clustering".
Below are MeSH descriptors whose meaning is more specific than "Space-Time Clustering".
This graph shows the total number of publications written about "Space-Time Clustering" by people in this website by year, and whether "Space-Time Clustering" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1999 | 0 | 1 | 1 |
| 2020 | 1 | 1 | 2 |
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Below are the most recent publications written about "Space-Time Clustering" by people in Profiles.
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Impact and trend of COVID-19 in the Brazilian prison system: an ecological study. Cien Saude Colet. 2021 Jan; 26(1):169-178.
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Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data. Proc Natl Acad Sci U S A. 2020 11 10; 117(45):28506-28514.
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Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States. Spat Spatiotemporal Epidemiol. 2020 08; 34:100354.
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Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland. Swiss Med Wkly. 2020 05 18; 150:w20295.
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The Italian Outbreak of COVID-19: Conditions, Contributors, and Concerns. Mayo Clin Proc. 2020 06; 95(6):1116-1118.
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Using Multinomial and Space-Time Permutation Models to Understand the Epidemiology of Infectious Bronchitis in California Between 2008 and 2012. Avian Dis. 2018 06; 62(2):226-232.
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Epidemiological features of parainfluenza virus infections: laboratory surveillance in England and Wales, 1975-1997. Eur J Epidemiol. 1999 May; 15(5):475-84.