A dynamic decision support system to tackle the spread of COVID-19: predictive and clustering approaches
- DOI
- 10.1080/17538157.2025.2606853
- Published
- 2026-01-07
- Container
- Informatics for Health and Social Care
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/17538157.2025.2606853,
title = {A dynamic decision support system to tackle the spread of COVID-19: predictive and clustering approaches},
author = {Amirreza Salehi and Ardavan Babaei and Vladimir Simić and Erfan Babaee Tirkolaee},
year = {2026},
journal = {Informatics for Health and Social Care},
doi = {10.1080/17538157.2025.2606853},
url = {https://doi.org/10.1080/17538157.2025.2606853}
}RIS
TY - JOUR TI - A dynamic decision support system to tackle the spread of COVID-19: predictive and clustering approaches AU - Amirreza Salehi AU - Ardavan Babaei AU - Vladimir Simić AU - Erfan Babaee Tirkolaee PY - 2026 JO - Informatics for Health and Social Care DO - 10.1080/17538157.2025.2606853 UR - https://doi.org/10.1080/17538157.2025.2606853 ER -
APA
Salehi, A., Babaei, A., Simić, V., & Tirkolaee, E. B. (2026). A dynamic decision support system to tackle the spread of COVID-19: predictive and clustering approaches. Informatics for Health and Social Care. https://doi.org/10.1080/17538157.2025.2606853
Source records
- crossref · retrieved 2026-09-27T00:42:31.487Z