Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.

Cassão V, Alves D, Mioto ACA, Mozini MT, Segamarchi RB, Miyoshi NSB

DOI: 10.1016/j.procs.2023.01.435
Published: 2023
Container: Procedia computer science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.procs.2023.01.435,
  title = {Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.},
  author = {Cassão V and Alves D and Mioto ACA and Mozini MT and Segamarchi RB and Miyoshi NSB},
  year = {2023},
  journal = {Procedia computer science},
  doi = {10.1016/j.procs.2023.01.435},
  url = {https://doi.org/10.1016/j.procs.2023.01.435}
}

RIS

TY  - JOUR
TI  - Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.
AU  - Cassão V
AU  - Alves D
AU  - Mioto ACA
AU  - Mozini MT
AU  - Segamarchi RB
AU  - Miyoshi NSB
PY  - 2023
JO  - Procedia computer science
DO  - 10.1016/j.procs.2023.01.435
UR  - https://doi.org/10.1016/j.procs.2023.01.435
ER  -

APA

V, C., D, A., ACA, M., MT, M., RB, S., & NSB, M. (2023). Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.. Procedia computer science. https://doi.org/10.1016/j.procs.2023.01.435

Source records

pubmed · retrieved 2026-09-25T05:54:42.417Z