Novel Eigen space method for multiple Spatiotemporal rare diseases clusters detection: a case study of waterborne disease.
- DOI
- 10.1038/s41598-025-21792-y
- Published
- 2025 Oct 29
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-21792-y,
title = {Novel Eigen space method for multiple Spatiotemporal rare diseases clusters detection: a case study of waterborne disease.},
author = {Fayyaz M and Alamgir and Ullah S and Ali H and Alshammari AO and Klai Z and Himmat B},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-21792-y},
url = {https://doi.org/10.1038/s41598-025-21792-y}
}RIS
TY - JOUR TI - Novel Eigen space method for multiple Spatiotemporal rare diseases clusters detection: a case study of waterborne disease. AU - Fayyaz M AU - Alamgir AU - Ullah S AU - Ali H AU - Alshammari AO AU - Klai Z AU - Himmat B PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-21792-y UR - https://doi.org/10.1038/s41598-025-21792-y ER -
APA
M, F., Alamgir, S, U., H, A., AO, A., Z, K., & B, H. (2025). Novel Eigen space method for multiple Spatiotemporal rare diseases clusters detection: a case study of waterborne disease.. Scientific reports. https://doi.org/10.1038/s41598-025-21792-y
Source records
- pubmed · retrieved 2026-09-26T03:05:08.639Z