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A data-driven model to describe and forecast the dynamics of COVID-19 transmission
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease COVID-19 transmission. The model is based on an approach previously used to describe the Middle East Respiratory Syndrome (MERS) epidemic. This methodology is used to describe the COVID-19 dynamics i...
Gespeichert in:
| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7394373/ https://ncbi.nlm.nih.gov/pubmed/32735581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0236386 |
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