Incorporating social opinion in the evolution of an epidemic spread

Simple item page
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículasgl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)gl
dc.contributor.authorCarballosa Calleja, Alejandro
dc.contributor.authorMussa Juane, Mariamo
dc.contributor.authorPérez Muñuzuri, Alberto
dc.date.accessioned2021-02-01T14:06:03Z
dc.date.available2021-02-01T14:06:03Z
dc.date.issued2021
dc.description.abstractThe evolution of the COVID19 pandemic worldwide has shown that the most common and effective strategy to control it used worldwide involve imposing mobility constrains to the population. A determinant factor in the success of such policies is the cooperation of the population involved but this is something, at least, difficult to measure. In this manuscript, we propose a method to incorporate in epidemic models empirical data accounting for the society predisposition to cooperate with the mobility restriction policiesgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis research is supported by the Spanish Ministerio de Economía y Competitividad and European Regional Development Fund, research grant No. COV20/00617 and RTI2018-097063-B-I00 AEI/FEDER, UE; by Xunta de Galicia, Research Grant No. 2018-PG082, and the CRETUS Strategic Partnership, AGRUP2015/02, supported by Xunta de Galicia. All these programs are co-funded by FEDER (UE). We also acknowledge support from the Portuguese Foundation for Science and Technology (FCT) within the Project n. 147gl
dc.identifier.citationCarballosa, A., Mussa-Juane, M. & Muñuzuri, A.P. Incorporating social opinion in the evolution of an epidemic spread. Sci Rep 11, 1772 (2021). https://doi.org/10.1038/s41598-021-81149-zgl
dc.identifier.doi10.1038/s41598-021-81149-z
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10347/24351
dc.language.isoenggl
dc.publisherSpringer Naturegl
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-021-81149-zgl
dc.rights© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBiological physicsgl
dc.subjectComputer modellinggl
dc.subjectDifferential equationsgl
dc.subjectDynamical systemsgl
dc.subjectEpidemiologygl
dc.subjectStatistical physics, thermodynamics and nonlinear dynamicsgl
dc.titleIncorporating social opinion in the evolution of an epidemic spreadgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationac82dae1-bab8-4f3d-a37c-d13662246534
relation.isAuthorOfPublication.latestForDiscoveryac82dae1-bab8-4f3d-a37c-d13662246534

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
2021_sr_carballosa_incorporating.pdf
Size:
1.68 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Física de Partículas
Centro de Investigación Interdisciplinar en Tecnoloxías Ambientais (CRETUS)