Why the study?
Hand-foot-mouth disease has become prevalent in mainland China with increasing incidence mainly among children aged zero to five, making monitoring and prevention an important public health challenge.
An LSTM-based forecasting framework utilizing clinical, meteorological, and search index data achieved significant results in predicting HFMD incidence in two Chinese cities.
May aid HFMD surveillance; leaves open prospective validation before informing practice.
Hand-foot-mouth disease (HFMD) has gradually become prevalent in mainland China since the first official report in 2008. The incidence of HFMD is increasing among children mainly aged zero to five. Thus how to monitor and prevent HFMD is becoming an important public health challenge. This study aims to build a forecasting framework of HFMD for two Chinese cities, Chengdu in Sichuan Province and Guangdong in Guangzhou Province based on LSTM, by utilizing clinical data of HFMD, meteorological factors, and Baidu index data. Our method achieves significant results
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Zhang et al. (2023) studied this question.
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