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Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It?
Introduction: Data from social media have been shown to have utility in augmenting traditional approaches to public health surveillance. Quantifying the representativeness of these data is needed for making accurate public health inferences. Methods: We applied machine-learning methods to explore sp...
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| Publicado no: | PLoS Curr |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5222536/ https://ncbi.nlm.nih.gov/pubmed/28123858 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/currents.outbreaks.cc09a42586e16dc7dd62813b7ee5d6b6 |
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