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Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts
Mathematical models provide a quantitative framework with which scientists can assess hypotheses on the potential underlying mechanisms that explain patterns in observed data at different spatial and temporal scales, generate estimates of key kinetic parameters, assess the impact of interventions, o...
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| Publicat a: | Infect Dis Model |
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| Autor principal: | |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
KeAi Publishing
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5726591/ https://ncbi.nlm.nih.gov/pubmed/29250607 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.idm.2017.08.001 |
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