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Using Networks to Combine “Big Data” and Traditional Surveillance to Improve Influenza Predictions
Seasonal influenza infects approximately 5–20% of the U.S. population every year, resulting in over 200,000 hospitalizations. The ability to more accurately assess infection levels and predict which regions have higher infection risk in future time periods can instruct targeted prevention and treatm...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5389136/ https://ncbi.nlm.nih.gov/pubmed/25634021 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep08154 |
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