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It can be dangerous to take epidemic curves of COVID-19 at face value
During an epidemic with a new virus, we depend on modelling to plan the response: but how good are the data? The aim of our work was to better understand the impact of misclassification errors in identification of true cases of COVID-19 on epidemic curves. Data originated from Alberta, Canada (avail...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309693/ https://www.ncbi.nlm.nih.gov/pubmed/32578184 http://dx.doi.org/10.17269/s41997-020-00367-6 |