Measles, social media and surveillance in Baltimore City.

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Vaccines Meet Big Data: State-of-the-Art and Future Prospects. From the Classical 3Is ("Isolate-Inactivate-Inject") Vaccinology 1.0 to Vaccinology 3.0, Vaccinomics, and Beyond: A Historical Overview.

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Measles, social media and surveillance in Baltimore City.

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2016 nî lūn-bûn

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2016年の論文

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Measles, social media and surveillance in Baltimore City.

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Measles, social media and surveillance in Baltimore City.

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Katherine E Warren

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Leana S Wen

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A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication

Social media use in the United States: implications for health communication

What social media offers to health professionals and citizens

Digital Disease Detection — Harnessing the Web for Public Health Surveillance

Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines.

Text and structural data mining of influenza mentions in Web and social media.

Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control.

A postmodern Pandora's box: anti-vaccination misinformation on the Internet.

National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic.

Cancer survivorship in the age of YouTube and social media: a narrative analysis.

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10.1093/PUBMED/FDW076

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2016-08-13T00:00:00Z

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social media

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Measles, social media and surveillance in Baltimore City.

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P2860

Measles, social media and surveillance in Baltimore City.

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