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Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness
Influenza-like illness (ILI) is a commonly measured syndromic signal representative of a range of acute respiratory infections. Reliable forecasts of ILI can support better preparation for patient surges in healthcare systems. Although ILI is an amalgamation of multiple pathogens with variable seaso...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7608986/ https://www.ncbi.nlm.nih.gov/pubmed/33090997 http://dx.doi.org/10.1371/journal.pcbi.1008301 |