| dc.contributor.author | Álamo, Teodoro | |
| dc.contributor.author | Millán Gata, Pablo | |
| dc.contributor.author | Gutiérrez Reina, Daniel | |
| dc.contributor.author | Preciado, Víctor M | |
| dc.contributor.author | Giordano, Giulia | |
| dc.date.accessioned | 2023-11-10T08:50:01Z | |
| dc.date.available | 2023-11-10T08:50:01Z | |
| dc.date.issued | 2021-05 | |
| dc.identifier.citation | T. Alamo, P. Millán, D. G. Reina, V. M. Preciado and G. Giordano, "Challenges and Future Directions in Pandemic Control," in IEEE Control Systems Letters, vol. 6, pp. 722-727, 2022, doi: 10.1109/LCSYS.2021.3085700. | es |
| dc.identifier.issn | 2475-1456 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12412/4466 | |
| dc.description.abstract | In this letter, we describe some of the most important objectives and needs in pandemic control. We identify the main open problems in the different stages of the decision making process, as well as the most significant challenges to overcome them, leading to promising future research di rections. We provide a concise review of the most recent literature describing such challenges, highlighting the main results, achievements and methodologies that can be employed to address them. In particular, we discuss some promising recent techniques that have been successfully applied to the Covid-19 pandemic and could be very valuable in the design of novel methodologies to face future pandemics | es |
| dc.language.iso | eng | es |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.title | Challenges and Future Directions in Pandemic Control | es |
| dc.type | article | es |
| dc.identifier.doi | 10.1109/LCSYS.2021.3085700 | |
| dc.journal.title | IEEE Control Systems Letters | es |
| dc.page.initial | 722 | es |
| dc.page.final | 727 | es |
| dc.relation.projectID | This work was supported by the Agencia Estatal de Investigacion (AEI)-Spain under Grant PID2019-106212RB- ´ C41/AEI/10.13039/501100011033. VP acknowledges the support of the US National Science Foundation under grants CAREER-ECCS-1651433 and NSF-III-200884556. GG acknowledges the support of the Strategic Grant MOSES at the University of Trento. | es |
| dc.rights.accessRights | openAccess | es |
| dc.volume.number | 6 | es |