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Social media: A new tool for outbreak surveillance
Social media platforms allow users to share news, ideas, thoughts, and opinions on a global scale. Data processing methods allow researchers to automate the collection and interpretation of social media posts for efficient and valuable disease surveillance. Data derived from social media and interne...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495414/ https://www.ncbi.nlm.nih.gov/pubmed/36168466 http://dx.doi.org/10.1017/ash.2021.225 |
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author | Wilson, Averi E. Lehmann, Christoph U. Saleh, Sameh N. Hanna, John Medford, Richard J. |
author_facet | Wilson, Averi E. Lehmann, Christoph U. Saleh, Sameh N. Hanna, John Medford, Richard J. |
author_sort | Wilson, Averi E. |
collection | PubMed |
description | Social media platforms allow users to share news, ideas, thoughts, and opinions on a global scale. Data processing methods allow researchers to automate the collection and interpretation of social media posts for efficient and valuable disease surveillance. Data derived from social media and internet search trends have been used successfully for monitoring and forecasting disease outbreaks such as Zika, Dengue, MERS, and Ebola viruses. More recently, data derived from social media have been used to monitor and model disease incidence during the coronavirus disease 2019 (COVID-19) pandemic. We discuss the use of social media for disease surveillance. |
format | Online Article Text |
id | pubmed-9495414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94954142022-09-26 Social media: A new tool for outbreak surveillance Wilson, Averi E. Lehmann, Christoph U. Saleh, Sameh N. Hanna, John Medford, Richard J. Antimicrob Steward Healthc Epidemiol Review Social media platforms allow users to share news, ideas, thoughts, and opinions on a global scale. Data processing methods allow researchers to automate the collection and interpretation of social media posts for efficient and valuable disease surveillance. Data derived from social media and internet search trends have been used successfully for monitoring and forecasting disease outbreaks such as Zika, Dengue, MERS, and Ebola viruses. More recently, data derived from social media have been used to monitor and model disease incidence during the coronavirus disease 2019 (COVID-19) pandemic. We discuss the use of social media for disease surveillance. Cambridge University Press 2021-11-17 /pmc/articles/PMC9495414/ /pubmed/36168466 http://dx.doi.org/10.1017/ash.2021.225 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Review Wilson, Averi E. Lehmann, Christoph U. Saleh, Sameh N. Hanna, John Medford, Richard J. Social media: A new tool for outbreak surveillance |
title | Social media: A new tool for outbreak surveillance |
title_full | Social media: A new tool for outbreak surveillance |
title_fullStr | Social media: A new tool for outbreak surveillance |
title_full_unstemmed | Social media: A new tool for outbreak surveillance |
title_short | Social media: A new tool for outbreak surveillance |
title_sort | social media: a new tool for outbreak surveillance |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495414/ https://www.ncbi.nlm.nih.gov/pubmed/36168466 http://dx.doi.org/10.1017/ash.2021.225 |
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