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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...
Autores principales: | Qi, Chang, Zhang, Dandan, Zhu, Yuchen, Liu, Lili, Li, Chunyu, Wang, Zhiqiang, Li, Xiujun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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