What is the clinical evidence from this study?

Study design: Other. Population: Hand-foot-and-mouth disease (HFMD). Intervention: TBATS model vs. SARIMA model. Primary outcome: Forecasting error rates for 12-step and 24-step ahead forecasting.

July 1, 2021Infection and Drug ResistanceOpen Access

Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model

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Key result

The TBATS model produced lower error rates in both 12-step and 24-step ahead forecasting of HFMD morbidity compared to the SARIMA model.

Why the study?

Hand-foot-and-mouth disease has high morbidity, complex seasonality, and recurring risk in China, making accurate trend forecasting critical for informing vaccine and targeted interventions.

Does the TBATS model improve forecasting accuracy of HFMD morbidity in China compared to the SARIMA model?

Population

HFMD morbidity data in China from January 2009 to December 2019

Comparison

TBATS model vs SARIMA model

Design

Time series analysis and forecasting study

Authors

CYChongchong YuBeijing Technology and Business University CXChunjie XuChinese Academy of Medical Sciences & Peking Union Medical College YLYuhong LiAnhui Medical University

Discussion

Member takes

Implication

May aid HFMD surveillance planning; leaves open prospective validation before routine adoption.

Structured PICO

Does the TBATS model improve forecasting accuracy of HFMD morbidity in China compared to the SARIMA model?

Population

HFMD morbidity data from January 2009 to December 2019 in China used to develop and validate forecasting models.

Exposure

TBATS model (advanced exponential smoothing state space framework combining Box-Cox transformations, Fourier representations with time-varying coefficients and ARMA error correction)

Comparator

SARIMA model (seasonal autoregressive integrated moving average)

Outcome

Forecasting accuracy (error rates) for 12-step and 24-step ahead forecasting

The TBATS model outperforms the SARIMA model in forecasting HFMD incidence in China, providing a useful tool for disease prevention and control.

Cite This Study

Yu et al. (2021) studied Hand-foot-and-mouth disease (HFMD). TBATS model vs. SARIMA model was evaluated on Forecasting error rates for 12-step and 24-step ahead forecasting. The TBATS model produced lower error rates in both 12-step and 24-step ahead forecasting of HFMD morbidity compared to the SARIMA model.

synapsesocial.com/papers/6a208d223f9b8cb80cc63f25 https://doi.org/10.2147/idr.s304652

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Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

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