Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis

• Główni autorzy: Tingyan Luo (Autor), Jie Zhou (Autor), Jing Yang (Autor), Yulan Xie (Autor), Yiru Wei (Autor), Huanzhuo Mai (Autor), Dongjia Lu (Autor), Yuecong Yang (Autor), Ping Cui (Autor), Li Ye (Autor), Hao Liang (Autor), Jiegang Huang (Autor)
• Format: Książka
• Wydane: JMIR Publications, 2023-10-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

BackgroundInternet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, the effectiveness of the Baidu search index (BSI) in predicting the incidence of scarlet fev...