Forecasting COVID-19: Vector Autoregression-Based Model

Forecasting the spread of COVID-19 infection is an important aspect of public health management. In this paper, we propose an approach to forecasting the spread of the pandemic based on the vector autoregressive model. Concretely, we combine the time series for the number of new cases and the number...

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Detalles Bibliográficos
Autores principales: Rajab, Khairan, Kamalov, Firuz, Cherukuri, Aswani Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article-Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722659/
https://www.ncbi.nlm.nih.gov/pubmed/35004125
http://dx.doi.org/10.1007/s13369-021-06526-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722659/
https://www.ncbi.nlm.nih.gov/pubmed/35004125
http://dx.doi.org/10.1007/s13369-021-06526-2

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