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Epidemiological characteristics of hepatitis C and incidence trend prediction based on the BSTS model, Nanchang, 2005-2023
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Jia-li MO1, 2, Zhi-bin TU3, Yong XIAO4, Liang LU3, Xing-yu LIU1, 2, Jie KUANG1, 2
Modern Preventive Medicine | 2025, 52(4) : 583 - 589
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Modern Preventive Medicine | 2025, 52(4): 583-589
Epidemiology and Statistical Methods Advances
Epidemiological characteristics of hepatitis C and incidence trend prediction based on the BSTS model, Nanchang, 2005-2023
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Jia-li MO1, 2, Zhi-bin TU3, Yong XIAO4, Liang LU3, Xing-yu LIU1, 2, Jie KUANG1, 2
Affiliations
  • Department of Epidemiology, School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China
Published: 2025-02-25 doi: 10.20043/j.cnki.MPM.202410209
Outline
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Objective

To analyze the epidemiological characteristics of hepatitis C in Nanchang from 2005 to 2023 and evaluate the application value of the Bayesian structural time series (BSTS) model in predicting hepatitis C incidence trends, providing a scientific basis for the prevention and control of hepatitis C in the city.

Methods

Data on hepatitis C incidence in Nanchang from January 2005 to December 2023 were collected. The trend and seasonal components of the monthly incidence data were analyzed using time series decomposition. The BSTS model was constructed using R software, with data from January 2005 to December 2022 used as the training set to fit the model, and data from January to December 2023 used as the test set to evaluate the model's predictive performance. The prediction accuracy of the BSTS model was compared with that of the autoregressive integrated moving average (ARIMA) model using mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE), and root mean square percentage error (RMSPE) as evaluation metrics.

Results

The overall incidence of hepatitis C in Nanchang has been on an upward trend, though the rate of increase has slowed since 2017. The data reveals significant cyclical and seasonal fluctuations, with a peak incidence in the spring months from March to May and a trough from January to February.The prediction performance indicators of the BSTS model (MAE=9.67, MAPE=17.61%, RMSE=11.99 and RMSPE=17.84) were all lower than those of the ARIMA model (MAE=12.12, MAPE=29.03%, RMSE=15.30, RMSPE=33.62). Based on the BSTS model, the total predicted number of hepatitis C cases in Nanchang from January 2024 to December 2024 is 308 (95% CI: 68-583), with an average monthly incidence of 26 cases (95% CI: 6-48).

Conclusion

Hepatitis C incidence in Nanchang exhibits periodic and seasonal fluctuations. The BSTS model outperforms the ARIMA model in prediction performance and can provide technical support for the precise prevention and control of hepatitis C.

Hepatitis C  /  Incidence  /  Prediction  /  Bayesian structural time series model  /  Autoregressive integrated moving average model
Jia-li MO, Zhi-bin TU, Yong XIAO, Liang LU, Xing-yu LIU, Jie KUANG. Epidemiological characteristics of hepatitis C and incidence trend prediction based on the BSTS model, Nanchang, 2005-2023[J]. Modern Preventive Medicine, 2025 , 52 (4) : 583 -589 . DOI: 10.20043/j.cnki.MPM.202410209
Year 2025 volume 52 Issue 4
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Article Info
doi: 10.20043/j.cnki.MPM.202410209
  • Receive Date:2024-10-16
  • Online Date:2026-03-18
  • Published:2025-02-25
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  • Received:2024-10-16
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    Department of Epidemiology, School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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