A model predictive control approach to optimally devise a two-dose vaccination rollout: A case study on COVID-19 in Italy.
- DOI
- 10.1002/rnc.5728
- Published
- 2021 Aug 25
- Container
- International journal of robust and nonlinear control
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1002/rnc.5728,
title = {A model predictive control approach to optimally devise a two-dose vaccination rollout: A case study on COVID-19 in Italy.},
author = {Parino F and Zino L and Calafiore GC and Rizzo A},
year = {2021},
journal = {International journal of robust and nonlinear control},
doi = {10.1002/rnc.5728},
url = {https://doi.org/10.1002/rnc.5728}
}RIS
TY - JOUR TI - A model predictive control approach to optimally devise a two-dose vaccination rollout: A case study on COVID-19 in Italy. AU - Parino F AU - Zino L AU - Calafiore GC AU - Rizzo A PY - 2021 JO - International journal of robust and nonlinear control DO - 10.1002/rnc.5728 UR - https://doi.org/10.1002/rnc.5728 ER -
APA
F, P., L, Z., GC, C., & A, R. (2021). A model predictive control approach to optimally devise a two-dose vaccination rollout: A case study on COVID-19 in Italy.. International journal of robust and nonlinear control. https://doi.org/10.1002/rnc.5728
Source records
- pubmed · retrieved 2026-09-25T08:31:54.427Z