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Articles

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

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By People’s Republic, Shuang Feng, Gongchao Yu, Huifen Feng
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Gongchao Yu, Huifen Feng , Shuang Feng, Jing Zhao, Jing Xu Gongchao Yu, Huifen Feng, Shuang Feng, Jing Zhao, Jing Xu Published: February 5, 2021 https://doi.org/10.1371/journal.pone.0246673 Figures Abstract 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.
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