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How do social media and individual behaviors affect epidemic transmission and control?
In the outbreak of infectious diseases such as COVID-19, social media channels are important tools for the public to obtain information and form their opinions on infection risk, which can affect their disease prevention behaviors and the consequent disease transmission processes. However, there has...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834887/ https://www.ncbi.nlm.nih.gov/pubmed/33360131 http://dx.doi.org/10.1016/j.scitotenv.2020.144114 |
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author | Du, Erhu Chen, Eddie Liu, Ji Zheng, Chunmiao |
author_facet | Du, Erhu Chen, Eddie Liu, Ji Zheng, Chunmiao |
author_sort | Du, Erhu |
collection | PubMed |
description | In the outbreak of infectious diseases such as COVID-19, social media channels are important tools for the public to obtain information and form their opinions on infection risk, which can affect their disease prevention behaviors and the consequent disease transmission processes. However, there has been a lack of theoretical investigation into how social media and human behaviors jointly affect the spread of infectious diseases. In this study, we develop an agent-based modeling framework that couples (1) a general opinion dynamics model that describes how individuals form their opinions on epidemic risk with various information sources, (2) a behavioral adoption model that simulates the adoption of disease prevention behaviors, and (3) an epidemiological SEIR model that simulates the spread of diseases in a host population. Through simulating the spread of a coronavirus-like disease in a hypothetical residential area, the modeling results show that social media can make a community more sensitive to external drivers. Social media can increase the public's awareness of infection risk, which is beneficial for epidemic containment, when high-quality epidemic information exists at the early stage of pandemics. However, fabricated and fake news on social media, after a “latent period”, can lead to a significant increase in infection rate. The modeling results provide scientific evidence for the intricate interplay between social media and human behaviors in epidemic dynamics and control, and highlight the importance of public education to promote behavioral changes and the need to correct misinformation and fake news on social media in a timely manner. |
format | Online Article Text |
id | pubmed-7834887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78348872021-01-26 How do social media and individual behaviors affect epidemic transmission and control? Du, Erhu Chen, Eddie Liu, Ji Zheng, Chunmiao Sci Total Environ Article In the outbreak of infectious diseases such as COVID-19, social media channels are important tools for the public to obtain information and form their opinions on infection risk, which can affect their disease prevention behaviors and the consequent disease transmission processes. However, there has been a lack of theoretical investigation into how social media and human behaviors jointly affect the spread of infectious diseases. In this study, we develop an agent-based modeling framework that couples (1) a general opinion dynamics model that describes how individuals form their opinions on epidemic risk with various information sources, (2) a behavioral adoption model that simulates the adoption of disease prevention behaviors, and (3) an epidemiological SEIR model that simulates the spread of diseases in a host population. Through simulating the spread of a coronavirus-like disease in a hypothetical residential area, the modeling results show that social media can make a community more sensitive to external drivers. Social media can increase the public's awareness of infection risk, which is beneficial for epidemic containment, when high-quality epidemic information exists at the early stage of pandemics. However, fabricated and fake news on social media, after a “latent period”, can lead to a significant increase in infection rate. The modeling results provide scientific evidence for the intricate interplay between social media and human behaviors in epidemic dynamics and control, and highlight the importance of public education to promote behavioral changes and the need to correct misinformation and fake news on social media in a timely manner. Elsevier B.V. 2021-03-20 2020-12-15 /pmc/articles/PMC7834887/ /pubmed/33360131 http://dx.doi.org/10.1016/j.scitotenv.2020.144114 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Du, Erhu Chen, Eddie Liu, Ji Zheng, Chunmiao How do social media and individual behaviors affect epidemic transmission and control? |
title | How do social media and individual behaviors affect epidemic transmission and control? |
title_full | How do social media and individual behaviors affect epidemic transmission and control? |
title_fullStr | How do social media and individual behaviors affect epidemic transmission and control? |
title_full_unstemmed | How do social media and individual behaviors affect epidemic transmission and control? |
title_short | How do social media and individual behaviors affect epidemic transmission and control? |
title_sort | how do social media and individual behaviors affect epidemic transmission and control? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834887/ https://www.ncbi.nlm.nih.gov/pubmed/33360131 http://dx.doi.org/10.1016/j.scitotenv.2020.144114 |
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