RT Journal Article
T1 Incorporating social opinion in the evolution of an epidemic spread
A1 Carballosa Calleja, Alejandro
A1 Mussa Juane, Mariamo
A1 Pérez Muñuzuri, Alberto
K1 Biological physics
K1 Computer modelling
K1 Differential equations
K1 Dynamical systems
K1 Epidemiology
K1 Statistical physics, thermodynamics and nonlinear dynamics
AB The 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 policies
PB Springer Nature
SN 2045-2322
YR 2021
FD 2021
LK http://hdl.handle.net/10347/24351
UL http://hdl.handle.net/10347/24351
LA eng
NO Carballosa, 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-z
NO This 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. 147
DS Minerva
RD 28 abr 2026