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Network Autoregressive Model for the Prediction of COVID-19 Considering the Disease Interaction in Neighboring Countries
Predicting the way diseases spread in different societies has been thus far documented as one of the most important tools for control strategies and policy-making during a pandemic. This study is to propose a network autoregressive (NAR) model to forecast the number of total currently infected cases...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535150/ https://www.ncbi.nlm.nih.gov/pubmed/34681991 http://dx.doi.org/10.3390/e23101267 |