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Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics

BACKGROUND: Individual behavioural decisions are responses to a person’s perceived social norms that could be shaped by both their physical and social environment. In the context of the COVID-19 pandemic, these environments correspond to epidemiological risk from contacts and the social construction...

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Autores principales: Silk, Matthew J., Carrignon, Simon, Bentley, R. Alexander, Fefferman, Nina H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729323/
https://www.ncbi.nlm.nih.gov/pubmed/34986810
http://dx.doi.org/10.1186/s12889-021-12353-9
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author Silk, Matthew J.
Carrignon, Simon
Bentley, R. Alexander
Fefferman, Nina H.
author_facet Silk, Matthew J.
Carrignon, Simon
Bentley, R. Alexander
Fefferman, Nina H.
author_sort Silk, Matthew J.
collection PubMed
description BACKGROUND: Individual behavioural decisions are responses to a person’s perceived social norms that could be shaped by both their physical and social environment. In the context of the COVID-19 pandemic, these environments correspond to epidemiological risk from contacts and the social construction of risk by communication within networks of friends. Understanding the circumstances under which the influence of these different social networks can promote the acceptance of non-pharmaceutical interventions and consequently the adoption of protective behaviours is critical for guiding useful, practical public health messaging. METHODS: We explore how information from both physical contact and social communication layers of a multiplex network can contribute to flattening the epidemic curve in a community. Connections in the physical contact layer represent opportunities for transmission, while connections in the communication layer represent social interactions through which individuals may gain information, e.g. messaging friends. RESULTS: We show that maintaining focus on awareness of risk among each individual’s physical contacts promotes the greatest reduction in disease spread, but only when an individual is aware of the symptoms of a non-trivial proportion of their physical contacts (~ ≥ 20%). Information from the social communication layer without was less useful when these connections matched less well with physical contacts and contributed little in combination with accurate information from physical contacts. CONCLUSIONS: We conclude that maintaining social focus on local outbreak status will allow individuals to structure their perceived social norms appropriately and respond more rapidly when risk increases. Finding ways to relay accurate local information from trusted community leaders could improve mitigation even where more intrusive/costly strategies, such as contact-tracing, are not possible.
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spelling pubmed-87293232022-01-06 Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics Silk, Matthew J. Carrignon, Simon Bentley, R. Alexander Fefferman, Nina H. BMC Public Health Research BACKGROUND: Individual behavioural decisions are responses to a person’s perceived social norms that could be shaped by both their physical and social environment. In the context of the COVID-19 pandemic, these environments correspond to epidemiological risk from contacts and the social construction of risk by communication within networks of friends. Understanding the circumstances under which the influence of these different social networks can promote the acceptance of non-pharmaceutical interventions and consequently the adoption of protective behaviours is critical for guiding useful, practical public health messaging. METHODS: We explore how information from both physical contact and social communication layers of a multiplex network can contribute to flattening the epidemic curve in a community. Connections in the physical contact layer represent opportunities for transmission, while connections in the communication layer represent social interactions through which individuals may gain information, e.g. messaging friends. RESULTS: We show that maintaining focus on awareness of risk among each individual’s physical contacts promotes the greatest reduction in disease spread, but only when an individual is aware of the symptoms of a non-trivial proportion of their physical contacts (~ ≥ 20%). Information from the social communication layer without was less useful when these connections matched less well with physical contacts and contributed little in combination with accurate information from physical contacts. CONCLUSIONS: We conclude that maintaining social focus on local outbreak status will allow individuals to structure their perceived social norms appropriately and respond more rapidly when risk increases. Finding ways to relay accurate local information from trusted community leaders could improve mitigation even where more intrusive/costly strategies, such as contact-tracing, are not possible. BioMed Central 2022-01-05 /pmc/articles/PMC8729323/ /pubmed/34986810 http://dx.doi.org/10.1186/s12889-021-12353-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Silk, Matthew J.
Carrignon, Simon
Bentley, R. Alexander
Fefferman, Nina H.
Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
title Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
title_full Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
title_fullStr Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
title_full_unstemmed Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
title_short Observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
title_sort observations and conversations: how communities learn about infection risk can impact the success of non-pharmaceutical interventions against epidemics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729323/
https://www.ncbi.nlm.nih.gov/pubmed/34986810
http://dx.doi.org/10.1186/s12889-021-12353-9
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