PuSH - Publikationsserver des Helmholtz Zentrums München

Müller, J. ; Tellier, A.* ; Kurschilgen, M.*

Echo chambers and opinion dynamics explain the occurrence of vaccination hesitancy.

R. Soc. Open Sci. 9:220367 (2022)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Vaccination hesitancy is a major obstacle to achieving and maintaining herd immunity. Therefore, public health authorities need to understand the dynamics of an anti-vaccine opinion in the population. We introduce a spatially structured mathematical model of opinion dynamics with reinforcement. The model allows as an emergent property for the occurrence of echo chambers, i.e. opinion bubbles in which information that is incompatible with one's entrenched worldview, is probably disregarded. We scale the model both to a deterministic limit and to a weak-effects limit, and obtain bifurcations, phase transitions and the invariant measure. Fitting the model to measles and meningococci vaccination coverage across Germany, reveals that the emergence of echo chambers dynamics explains the occurrence and persistence of the anti-vaccination opinion in allowing anti-vaxxers to isolate and to ignore pro-vaccination facts. We predict and compare the effectiveness of different policies aimed at influencing opinion dynamics in order to increase vaccination uptake. According to our model, measures aiming at reducing the salience of partisan anti-vaccine information sources would have the largest effect on enhancing vaccination uptake. By contrast, measures aiming at reducing the reinforcement of vaccination deniers are predicted to have the smallest impact.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Data Analysis ; Opinion Dynamics ; Reinforcement Model ; Vaccination Hesitancy; Self-interest; Polarization; Measles; Economics; Behavior; Systems; Policy; Model
ISSN (print) / ISBN 2054-5703
e-ISSN 2054-5703
Zeitschrift Royal Society Open Science
Quellenangaben Band: 9, Heft: 10, Seiten: , Artikelnummer: 220367 Supplement: ,
Verlag Royal Society of London
Verlagsort 6-9 Carlton House Terrace, London Sw1y 5ag, England
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Förderungen International Graduate School of Science and Engineering
Deutsche Forschungsgemeinschaft
IGGSE