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Comparing the accuracy of several network-based COVID-19 prediction algorithms
Researchers from various scientific disciplines have attempted to forecast the spread of coronavirus disease 2019 (COVID-19). The proposed epidemic prediction methods range from basic curve fitting methods and traffic interaction models to machine-learning approaches. If we combine all these approac...
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| Publicat a: | Int J Forecast |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Author(s). Published by Elsevier B.V. on behalf of International Institute of Forecasters.
2022
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7546239/ https://ncbi.nlm.nih.gov/pubmed/33071402 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijforecast.2020.10.001 |
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