This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1461) Big Data (282) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Early Results in Infodemiology and Infoveillance (91) Data Sources and Open Data for Infodemiology (19)

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

Authors of this article:

Tingyan Luo1, 2 Author Orcid Image ;   Jie Zhou1, 2 Author Orcid Image ;   Jing Yang1, 2 Author Orcid Image ;   Yulan Xie1, 2 Author Orcid Image ;   Yiru Wei1, 2 Author Orcid Image ;   Huanzhuo Mai1, 2 Author Orcid Image ;   Dongjia Lu1, 2 Author Orcid Image ;   Yuecong Yang1, 2 Author Orcid Image ;   Ping Cui3 Author Orcid Image ;   Li Ye1, 2 Author Orcid Image ;   Hao Liang2, 3 Author Orcid Image ;   Jiegang Huang1, 2, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

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