Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks.
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Disease detection or public opinion reflection? Content analysis of tweets, other social media, and online newspapers during the measles outbreak in The Netherlands in 2013Risk of MERS importation and onward transmission: a systematic review and analysis of cases reported to WHO.Infectious Diseases of Poverty, the first five yearsTowards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data.Chinese Public Attention to the Outbreak of Ebola in West Africa: Evidence from the Online Big Data Platform.Experts' Perceptions on China's Capacity to Manage Emerging and Re-emerging Zoonotic Diseases in an Era of Climate Change.Social media as a sensor of air quality and public response in China.Chinese Social Media Reaction to Information about 42 Notifiable Infectious Diseases.Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes.Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A(H7N9) outbreak in ChinaEmergence of human caliciviruses among diarrhea cases in southwest China.Global Handwashing Day 2012: a qualitative content analysis of Chinese social media reaction to a health promotion event.Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors.Perceptions on the risk communication strategy during the 2013 avian influenza A/H7N9 outbreak in humans in China: a focus group study.Quantifying Network Dynamics and Information Flow Across Chinese Social Media During the African Ebola Outbreak.Identifying personal health experience tweets with deep neural networks.Surveillance and response systems for elimination of tropical diseases: summary of a thematic series in Infectious Diseases of Poverty.Why We Should Care About Ebola in West Africa and Middle East Respiratory Syndrome in South Korea: Global Health Ethics and the Moral Insignificance of Proximity.Big Data and the Global Public Health Intelligence Network (GPHIN).Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015.
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P2860
Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 20 December 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Chinese social media reaction to the MERS-CoV and avian influenza A
@nl
Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks.
@en
type
label
Chinese social media reaction to the MERS-CoV and avian influenza A
@nl
Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks.
@en
prefLabel
Chinese social media reaction to the MERS-CoV and avian influenza A
@nl
Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks.
@en
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Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks
@en
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Braydon Schaible
Chung-Hong Chan
Yuchen Ying
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P2888
P356
10.1186/2049-9957-2-31
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2013-12-20T00:00:00Z
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P6179
1025827949