Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA–NNAR hybrid model

BACKGROUND: Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that is associated with high morbidity. Reliable forecasting is crucial for prevention and control. Recently, hybrid models have become popular, and wavelet analysis has been widely performed. Better predi...

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Detalles Bibliográficos
Autores principales: Yu, Gongchao, Feng, Huifen, Feng, Shuang, Zhao, Jing, Xu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864434/
https://www.ncbi.nlm.nih.gov/pubmed/33544752
http://dx.doi.org/10.1371/journal.pone.0246673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864434/
https://www.ncbi.nlm.nih.gov/pubmed/33544752
http://dx.doi.org/10.1371/journal.pone.0246673

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