SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA

BACKGROUND: The early warning model of infectious diseases plays a key role in prevention and control. This study aims to using seasonal autoregressive fractionally integrated moving average (SARFIMA) model to predict the incidence of hemorrhagic fever with renal syndrome (HFRS) and comparing with s...

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Detalles Bibliográficos
Autores principales: Qi, Chang, Zhang, Dandan, Zhu, Yuchen, Liu, Lili, Li, Chunyu, Wang, Zhiqiang, Li, Xiujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526348/
https://www.ncbi.nlm.nih.gov/pubmed/32993517
http://dx.doi.org/10.1186/s12874-020-01130-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526348/
https://www.ncbi.nlm.nih.gov/pubmed/32993517
http://dx.doi.org/10.1186/s12874-020-01130-8

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