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Incorporating social opinion in the evolution of an epidemic spread.
Carballosa, Alejandro; Mussa-Juane, Mariamo; Muñuzuri, Alberto P.
  • Carballosa A; Group of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
  • Mussa-Juane M; Group of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
  • Muñuzuri AP; Group of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain. alberto.perez.munuzuri@usc.es.
Sci Rep ; 11(1): 1772, 2021 01 19.
Article in English | MEDLINE | ID: covidwho-1038226
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Behavior / Cooperative Behavior / Physical Distancing / COVID-19 Type of study: Observational study / Qualitative research / Randomized controlled trials Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-81149-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Behavior / Cooperative Behavior / Physical Distancing / COVID-19 Type of study: Observational study / Qualitative research / Randomized controlled trials Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-81149-z