Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fung, Isaac Chun-Hai, Fu, King-Wa, Ying, Yuchen, Schaible, Braydon, Hao, Yi, Chan, Chung-Hong, Tse, Zion Tsz-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
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
_version_ 1782297748592132096
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
work_keys_str_mv AT fungisaacchunhai chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks
AT fukingwa chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks
AT yingyuchen chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks
AT schaiblebraydon chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks
AT haoyi chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks
AT chanchunghong chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks
AT tseziontszho chinesesocialmediareactiontothemerscovandavianinfluenzaah7n9outbreaks