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Optimizing respiratory virus surveillance networks using uncertainty propagation
Infectious disease prevention, control and forecasting rely on sentinel observations; however, many locations lack the capacity for routine surveillance. Here we show that, by using data from multiple sites collectively, accurate estimation and forecasting of respiratory diseases for locations witho...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801666/ https://www.ncbi.nlm.nih.gov/pubmed/33431854 http://dx.doi.org/10.1038/s41467-020-20399-3 |