Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model

During the COVID-19 pandemic, the incidence of HB in Henan decreased and exhibited clear seasonal and cyclical trends. The BSTS model outperformed the ARIMA model in predicting the HB incidence trend in Henan. This information may serve as a reference and provide technical assistance for developing strategies and actions to prevent and control HB. Take additional measures to accelerate the progress of eliminating HB.

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Publication Details

Journal
BMC Public Health
Published
2025-04-07
DOI
https://doi.org/10.1186/s12889-025-22305-2
Citations
5
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
6.77
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article

Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model

Hu Meng, Shushuo Xu, Xinxiao Li, Yanyan Li et al.
5 citations
BMC Public Health
Data-Driven Disease Surveillance
6.77
article

Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model

Hu Meng, Shushuo Xu, Xinxiao Li, Yanyan Li, Yongbin Wang, Haibin Li, Penghao Wang
article en
5 citations

Abstract

During the COVID-19 pandemic, the incidence of HB in Henan decreased and exhibited clear seasonal and cyclical trends. The BSTS model outperformed the ARIMA model in predicting the HB incidence trend in Henan. This information may serve as a reference and provide technical assistance for developing strategies and actions to prevent and control HB. Take additional measures to accelerate the progress of eliminating HB.

BMC Public HealthVol. 25(1)
Henan Medical University (CN)
Good health and well-being
Openalex Percentile: Top 3%
Data-Driven Disease Surveillance
6.77
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