ArticleEpidemiology and infection2017
Tracking and predicting hand, foot, and mouth disease (HFMD) epidemics in China by Baidu queries.
Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care.World journal of orthopedics · 2025Article
- Public concerns analysis and early warning of Mpox based on network data platforms-taking Baidu and WeChat as example.Frontiers in public health · 2025Article
- Harnessing hybrid perception on multi-scale features for hand-foot-mouth disease multi-region prediction based on Seq2Seq.PloS one · 2025Article
- Using the Baidu index to predict trends in the incidence of tuberculosis in Jiangsu Province, China.Frontiers in public health · 2023Article
- Forecasting HFMD Cases Using Weather Variables and Google Search Queries in Sabah, Malaysia.International journal of environmental research and public health · 2022Article
- Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018.Scientific reports · 2020Article
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- Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approach.BMC infectious diseases · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hand, foot, and mouth disease (HFMD) is highly prevalent in China, and more efficient methods of epidemic detection and early warning need to be developed to augment traditional surveillance systems. In this paper, a method that uses Baidu search queries to track and predict HFMD epidemics is presented, and the outbreaks of HFMD in China during the 60-month period from January 2011 to December 2015 are predicted. The Pearson correlation coefficient (R) of the predictive model and the mean absolute percentage errors between observed HFMD case counts and the predicted number show that our predictive model gives excellent fit to the data. This implies that Baidu search queries can be used in China to track and reliably predict HFMD epidemics, and can serve as a supplement to official systems for HFMD epidemic surveillance.
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Registered trials
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