Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm

A vast majority of the countries are under economic and health crises due to the current epidemic of coronavirus disease 2019 (COVID-19). The present study analyzes the COVID-19 using time series, an essential gizmo for knowing the enlargement of infection and its changing behavior, especially the t...

Descripción completa

Detalles Bibliográficos
Autores principales: Kumar, Jitendra, Agiwal, Varun, Yau, Chun Yip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183329/
https://www.ncbi.nlm.nih.gov/pubmed/35425883
http://dx.doi.org/10.1007/s42081-021-00127-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183329/
https://www.ncbi.nlm.nih.gov/pubmed/35425883
http://dx.doi.org/10.1007/s42081-021-00127-x

Ejemplares similares