Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49400, first published .
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

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

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

Tingyan Luo   1, 2 * , BSc ;   Jie Zhou   1, 2 * , MD ;   Jing Yang   1, 2 * , BSc ;   Yulan Xie   1, 2 , BSc ;   Yiru Wei   1, 2 , BSc ;   Huanzhuo Mai   1, 2 , BSc ;   Dongjia Lu   1, 2 , BSc ;   Yuecong Yang   1, 2 , BSc ;   Ping Cui   3 , PhD ;   Li Ye   1, 2 , PhD ;   Hao Liang   2, 3 , PhD ;   Jiegang Huang   1, 2, 4 , PhD

1 School of Public Health, Guangxi Medical University, Nanning, China

2 Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China

3 Life Science Institute, Guangxi Medical University, Nanning, China

4 Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, Guangxi Medical University, Nanning, China

*these authors contributed equally

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