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EpiVECS: exploring spatiotemporal epidemiological data using cluster embedding and interactive visualization
The analysis of data over space and time is a core part of descriptive epidemiology, but the complexity of spatiotemporal data makes this challenging. There is a need for methods that simplify the exploration of such data for tasks such as surveillance and hypothesis generation. In this paper, we us...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692107/ https://www.ncbi.nlm.nih.gov/pubmed/38040776 http://dx.doi.org/10.1038/s41598-023-48484-9 |