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1. 西南医科大学公共卫生学院,泸州,646000
2. 西南医科大学预防医学系,泸州,646000
纸质出版日期:2021,
网络出版日期:2021-11-20,
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周, 瑜, 李明珂, 等. 2009-2019年泸州市乙型肝炎流行病学特征及其预测[J]. 西南医科大学学报, 2021,44(6):659-664.
Epidemiological characteristics and prediction of hepatitis B in Luzhou, Sichuan Province, China, 2009-2019[J]. Journal of Southwest Medical University, 2021,44(6):659-664.
周, 瑜, 李明珂, 等. 2009-2019年泸州市乙型肝炎流行病学特征及其预测[J]. 西南医科大学学报, 2021,44(6):659-664. DOI: 10.3969/j.issn.2096-3351.2021.06.013.
Epidemiological characteristics and prediction of hepatitis B in Luzhou, Sichuan Province, China, 2009-2019[J]. Journal of Southwest Medical University, 2021,44(6):659-664. DOI: 10.3969/j.issn.2096-3351.2021.06.013.
目的描述泸州市2009-2019年乙肝的流行病学特征,了解其流行规律和分布特征,预测泸州市乙肝的发病趋势,为乙肝的防控工作提供参考。方法对泸州市乙肝的三间分布特征进行描述,建立乙肝发病ARIMA预测模型。结果2009-2019年乙肝整体发病率呈缓慢下降的趋势,男女发病比例为1.88∶1;发病人群主要为农民,占全部人群的62.5%。前三位分别为江阳区、泸县和龙马潭区,11年的平均发病率分别为87.29/10万、76.43/10万、70.17/10万。以2009年到2019年的月发病率建立时间序列,最终确定季节乘积模型ARIMA(1,1,1)(1,1,2)12为泸州市短期预测乙肝发病的理想模型。结论泸州市近十年乙肝发病下降趋势较为缓慢,无明显季节高峰,发病有地区差异。ARIMA(1,1,1)(1,1,2)12模型是泸州市短期预测乙肝发病的最佳模型。
Objective To describe the epidemiological characteristics of hepatitis B in Luzhou
Sichuan Prov⁃ince
China from 2009 to 2019; to investigate its epidemic pattern and distribution characteristics; to predict the trend of hepatitis B in Luzhou
and to provide references for hepatitis B prevention and control. Methods The three distribution characteristics of hepatitis B in Luzhou were described
and an autoregressive integrated moving average (ARIMA) prediction model for the incidence of hepatitis B was established. Results From 2009 to 2019
the overall incidence of hepatitis B showed a slow downward trend
with a male-to-female ratio of 1.88:1. The farmers (62.5%) were the main affected population. The top three areas in terms of incidence rate were Jiangyang District
Luxian County
and Longmatan District
with mean incidence rates in these 11 years of 87.29/100 000
76.43/100 000 and 70.17/100 000
respectively. A time series was established based on the monthly incidence rates from 2009 to 2019
and the seasonal product model ARIMA(1
1
1)(1
1
2)12 was finally determined as an ideal model for short-term pre⁃diction of hepatitis B in Luzhou. Conclusion The incidence of hepatitis B in Luzhou has declined slowly over the past ten years
and there is no obvious seasonal peak. There are regional differences in incidence. ARIMA(1
1
1)(1
1
2)12 model is the optimal model for short-term prediction of hepatitis B in Luzhou.
乙肝流行病学特征ARIMA预测
Hepatitis BEpidemiological characteristicsARIMA prediction
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