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Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks
BACKGROUND: As internet and social media use have skyrocketed, epidemiologists have begun to use online data such as Google query data and Twitter trends to track the activity levels of influenza and other infectious diseases. In China, Weibo is an extremely popular microblogging site that is equiva...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878123/ https://www.ncbi.nlm.nih.gov/pubmed/24359669 http://dx.doi.org/10.1186/2049-9957-2-31 |
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author | Fung, Isaac Chun-Hai Fu, King-Wa Ying, Yuchen Schaible, Braydon Hao, Yi Chan, Chung-Hong Tse, Zion Tsz-Ho |
author_facet | Fung, Isaac Chun-Hai Fu, King-Wa Ying, Yuchen Schaible, Braydon Hao, Yi Chan, Chung-Hong Tse, Zion Tsz-Ho |
author_sort | Fung, Isaac Chun-Hai |
collection | PubMed |
description | BACKGROUND: As internet and social media use have skyrocketed, epidemiologists have begun to use online data such as Google query data and Twitter trends to track the activity levels of influenza and other infectious diseases. In China, Weibo is an extremely popular microblogging site that is equivalent to Twitter. Capitalizing on the wealth of public opinion data contained in posts on Weibo, this study used Weibo as a measure of the Chinese people’s reactions to two different outbreaks: the 2012 Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreak, and the 2013 outbreak of human infection of avian influenza A(H7N9) in China. METHODS: Keyword searches were performed in Weibo data collected by The University of Hong Kong’s Weiboscope project. Baseline values were determined for each keyword and reaction values per million posts in the days after outbreak information was released to the public. RESULTS: The results show that the Chinese people reacted significantly to both outbreaks online, where their social media reaction was two orders of magnitude stronger to the H7N9 influenza outbreak that happened in China than the MERS-CoV outbreak that was far away from China. CONCLUSIONS: These results demonstrate that social media could be a useful measure of public awareness and reaction to disease outbreak information released by health authorities. |
format | Online Article Text |
id | pubmed-3878123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38781232014-01-03 Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks Fung, Isaac Chun-Hai Fu, King-Wa Ying, Yuchen Schaible, Braydon Hao, Yi Chan, Chung-Hong Tse, Zion Tsz-Ho Infect Dis Poverty Research Article BACKGROUND: As internet and social media use have skyrocketed, epidemiologists have begun to use online data such as Google query data and Twitter trends to track the activity levels of influenza and other infectious diseases. In China, Weibo is an extremely popular microblogging site that is equivalent to Twitter. Capitalizing on the wealth of public opinion data contained in posts on Weibo, this study used Weibo as a measure of the Chinese people’s reactions to two different outbreaks: the 2012 Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreak, and the 2013 outbreak of human infection of avian influenza A(H7N9) in China. METHODS: Keyword searches were performed in Weibo data collected by The University of Hong Kong’s Weiboscope project. Baseline values were determined for each keyword and reaction values per million posts in the days after outbreak information was released to the public. RESULTS: The results show that the Chinese people reacted significantly to both outbreaks online, where their social media reaction was two orders of magnitude stronger to the H7N9 influenza outbreak that happened in China than the MERS-CoV outbreak that was far away from China. CONCLUSIONS: These results demonstrate that social media could be a useful measure of public awareness and reaction to disease outbreak information released by health authorities. BioMed Central 2013-12-20 /pmc/articles/PMC3878123/ /pubmed/24359669 http://dx.doi.org/10.1186/2049-9957-2-31 Text en Copyright © 2013 Fung et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Fung, Isaac Chun-Hai Fu, King-Wa Ying, Yuchen Schaible, Braydon Hao, Yi Chan, Chung-Hong Tse, Zion Tsz-Ho Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks |
title | Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks |
title_full | Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks |
title_fullStr | Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks |
title_full_unstemmed | Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks |
title_short | Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks |
title_sort | chinese social media reaction to the mers-cov and avian influenza a(h7n9) outbreaks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878123/ https://www.ncbi.nlm.nih.gov/pubmed/24359669 http://dx.doi.org/10.1186/2049-9957-2-31 |
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