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Promoting physical distancing during COVID-19: a systematic approach to compare behavioral interventions

In the wake of the COVID-19 pandemic, physical distancing behavior turned out to be key to mitigating the virus spread. Therefore, it is crucial that we understand how we can successfully alter our behavior and promote physical distancing. We present a framework to systematically assess the effectiv...

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Detalles Bibliográficos
Autores principales: Blanken, Tessa F., Tanis, Charlotte C., Nauta, Floor H., Dablander, Fabian, Zijlstra, Bonne J. H., Bouten, Rick R. M., Oostvogel, Quinten H., Boersma, Meier J., van der Steenhoven, Maya V., van Harreveld, Frenk, de Wit, Sanne, Borsboom, Denny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484546/
https://www.ncbi.nlm.nih.gov/pubmed/34593931
http://dx.doi.org/10.1038/s41598-021-98964-z
Descripción
Sumario:In the wake of the COVID-19 pandemic, physical distancing behavior turned out to be key to mitigating the virus spread. Therefore, it is crucial that we understand how we can successfully alter our behavior and promote physical distancing. We present a framework to systematically assess the effectiveness of behavioral interventions to stimulate physical distancing. In addition, we demonstrate the feasibility of this framework in a large-scale natural experiment (N = 639) conducted during an art fair. In an experimental design, we varied interventions to evaluate the effect of face masks, walking directions, and immediate feedback on visitors’ contacts. We represent visitors as nodes, and their contacts as links in a contact network. Subsequently, we used network modelling to test for differences in these contact networks. We find no evidence that face masks influence physical distancing, while unidirectional walking directions and buzzer feedback do positively impact physical distancing. This study offers a feasible way to optimize physical distancing interventions through scientific research. As such, the presented framework provides society with the means to directly evaluate interventions, so that policy can be based on evidence rather than conjecture.