Trends of the incidence rate of Hepatitis C in Changsha, China, 2005 to 2023 and Its Prediction to 2025
DOI:
https://doi.org/10.3855/jidc.19790Keywords:
Hepatitis C, incidence rate, trend, model, predictionAbstract
Introduction: Hepatitis C is a globally distributed hepatic disease with a high chronicity rate, posing significant global public health concerns. This research aimed to predict the incidence trend of hepatitis C to guide disease prevention and control.
Method: The quarterly incidence rates of hepatitis C in Changsha from the first quarter of 2005 to the third quarter of 2023 were collected. Curve-fitting method, grey model (GM (1,1)), Autoregressive Integrated Moving Average (ARIMA) model, and Back Propagation Neural Network (BPNN) model, were applied to simulate the incidence trend of hepatitis C.
Results: The annual average reported incidence rate in Changsha was 12.518 per 100,000. The incidence rate of hepatitis C showed an upward trend from 1.102 per 100,000 in 2005 to 17.172 per 100,000 in 2013 and remained at a high level from 2014 to 2019. It has been steadily declining since 2020. The BPNN model exhibited the best forecasting performance (MAE = 0.394, MRE = 0.203). The prediction results from the BPNN model estimated the incidence rate of hepatitis C to be 9.991 per 100,000 in 2024 and 11.920 per 100,000 in 2025.
Conclusions: The incidence of hepatitis C in the next two years is projected to be slightly higher than that during the COVID-19 epidemic. It is imperative to strengthen various measures to achieve the goal of hepatitis C elimination in China.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Shuilian Chen, Ping Zeng, Kewei Yang, Xixing Zhang, Xuewen Yang, Yinzhu Zhao

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).