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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389136/ https://www.ncbi.nlm.nih.gov/pubmed/25634021 http://dx.doi.org/10.1038/srep08154 |