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Twitter Influenza Surveillance: Quantifying Seasonal Misdiagnosis Patterns and their Impact on Surveillance Estimates
BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase efficiency by providing governments and healthcare organizations with greater situational awareness. However, research is needed to determine the impact of Twitter users’ misdiagnoses on surveillance...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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University of Illinois at Chicago Library
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302465/ https://www.ncbi.nlm.nih.gov/pubmed/28210419 http://dx.doi.org/10.5210/ojphi.v8i3.7011 |