Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.
Background: Mathematical and computational models for infectious diseases are increasingly used to support public-health decisions; however, their reliability is currently under debate. Real-time forecasts of epidemic spread using data-driven models have been hindered by the technical challenges pos...
| Publicado en: | BMC Medicine Vol. 10; no. 1; pp. 165 - 166 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2012
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| Acceso en línea: | Ver este registro en EBSCOhost |