| 程颖,田滢.基于ARIMA模型的非伤寒沙门菌发病率趋势预测.[J].中南医学科学杂志.,2021,(6):731-734. |
| 基于ARIMA模型的非伤寒沙门菌发病率趋势预测 |
| Prediction of incidence rate of nontyphoidal salmonella based on ARIMA model |
| 投稿时间：2021-01-28 修订日期：2021-03-23 |
| DOI：10.15972/j.cnki.43-1509/r.2021.06.029 |
| 中文关键词: 非伤寒沙门菌 发病率 ARIMA模型 预测 |
| 英文关键词:nontyphoidal salmonella incidence ARIMA model prediction |
| 基金项目:湖北省自然科学基金项目(ZRMS2018001671) 作者简介:程颖,硕士,副主任医师,研究方向为儿科感染性疾病的诊治,E-mail为469579750@qq.com。通信作者田滢,副主任护师,研究方向为儿科感染性疾病的护理和诊治,E-mail为aziwushuang@sohu.com。 |
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| 中文摘要: |
| 目的探讨ARIMA模型在非伤寒沙门菌发病率预测中的应用。 方法以湖北省某医院2015年1月—2019年12月非伤寒沙门菌发病率数据为基础,采用时间序列方法建立模型,估计、检验模型中间的相关参数,确定最优模型,并预测2019年7月—12月非伤寒沙门菌发病率,同时对预测效果进行评价。 结果通过比较,确立了最优预测模型,该模型预测值和实际值之间的稳合度较好,实际值全部在预测值95%置信区间范围中。预测2019年7月—12月非伤寒沙门菌发病率分别为3.93%、3.28%、3.56%、2.65%、1.04%、0.82%。 结论ARIMA模型能较好预测非伤寒沙门菌发病率的变化趋势,模型有助于医院及疾控部门及早采取预防措施进行干预,降低传染风险。 |
| 英文摘要: |
| To explore the application of autoregressive integrated moving average(ARIMA) model in prediction of incidence of nontyphoidal salmonella(NTS) so as to provide a scientific basis for the prevention and control of infection in pediatrics. MethodsThe ARIMA model was established for the month-by-month incidence of NTS in a pediatric inpatient ward from Jan 2015 to Dec 2018 in Hubei Maternal and Child Health Hospital, the data of the first half of 2019 were used to verify the predicted results, and the incidence of NTS in the second half of 2019 was predicted. ResultsThe optimal model that was established based on the data of incidence of NTS. The fitted value of the model tended to be identical with the actual value, all the actual values were within the 95% confidence interval of the fitted value.From July 2019 to December 2019, the predicted values of the incidence of nontyphoid salmonella were 3.93%, 3.28%, 3.56%, 2.65%, 1.04%, 0.82%. ConclusionThe ARIMA model can well fit and predict the incidence of NTS in hospitals, which can provide a scientific basis for prevention and treatment of NTS infection. |
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