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Neural network models for influenza forecasting with associated uncertainty using Web search activity trends
Influenza affects millions of people every year. It causes a considerable amount of medical visits and hospitalisations as well as hundreds of thousands of deaths. Forecasting influenza prevalence with good accuracy can significantly help public health agencies to timely react to seasonal or novel s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491400/ https://www.ncbi.nlm.nih.gov/pubmed/37639427 http://dx.doi.org/10.1371/journal.pcbi.1011392 |