Detecting the Visible: The Discursive Construction of Health Threats in a Syndromic Surveillance System Design
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- Sophia Alice Johnson, 2014. "“Maternal Devices”, Social Media and the Self-Management of Pregnancy, Mothering and Child Health," Societies, MDPI, vol. 4(2), pages 1-21, June.
- Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
- Minna Ruckenstein, 2014. "Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles," Societies, MDPI, vol. 4(1), pages 1-17, February.
- Declan Butler, 2013. "When Google got flu wrong," Nature, Nature, vol. 494(7436), pages 155-156, February.
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Keywords
ICT; public health surveillance; epidemiology; syndromic surveillance; discourse;All these keywords.
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