首页|基于Prophet模型对浙江省嘉兴市流感样病例发病趋势的预测

基于Prophet模型对浙江省嘉兴市流感样病例发病趋势的预测

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目的 通过Prophet模型对浙江省嘉兴市流感样病例(ILI)发病趋势进行预测和评价,为流感性感冒(流感)防控工作及哨点医院监测工作提供新的思路和方法.方法 通过R 4.2.2软件的"forecast""prophet"包构建Prophet模型,对2013-2022年浙江省嘉兴市流感哨点医院的ILI就诊人数占门急诊就诊总人数比例(ILI%o)监测数据进行拟合和预测.结果 2013-2022年嘉兴市流感哨点医院年平均ILI%为2.97%,ILI%整体呈现波动变化,每年的冬春季会有明显的高峰,此后逐渐回落.Prophet模型拟合和预测结果显示,2013-2021年嘉兴市流感哨点医院ILI%监测数据拟合趋势呈上升趋势,对2022年ILI%预测结果的平均预测误差率为-16.73%,国家级哨点监测医院ILI%监测数据拟合趋势呈现先上升后下降的趋势,对2022年ILI%预测结果的平均预测误差率为-14.85%,预测结果均在95%置信区间内.结论 Prophet模型拟合和预测的误差较低,拟合预测效果良好,可用于ILI发病趋势的预测.
Prediction of incidence of influenza-like illness in Jiaxing of Zhejiang based on Prophet model
Objective To predict and evaluate the incidence trend of influenza-like illness(ILI)in Jiaxing of Zhejiang by using Prophet model and provide new ideas and methods for influenza prevention and control and sentinel hospital surveillance.Methods A Prophet model was constructed using the"forecast"and"prophet"packages in software R 4.2.2 to fit and predict the annual average proportion of ILI outpatient visits in total outpatient and emergency visits(ILI%)by using the surveillance data from sentinel hospitals for influenza in Jiaxing,Zhejiang province,from 2013 to 2022.Results From 2013 to 2022,the average annual ILI%was 2.97% in sentinel hospitals in Jiaxing.The overall ILI%showed fluctuating patterns,with annual peak occurring during winte spring and a gradual decline thereafter.The fitting and prediction results of the Prophet model indicated that the fitted ILI%showed an upward trend in sentinel hospitals in Jiaxing from 2013 to 2021,and the average error rate of ILI%prediction was-16.73%for 2022.The ILI%fitted with surveillance data from national level sentinel hospitals first increased then decreased,with the average error rate of ILI%prediction as-14.85%for 2022,and all the prediction results were within the 95%confidence interval.Conclusion The Prophet model fitting and prediction has relatively low fitting and prediction error and show good effects,which can be used for the prediction of ILI incidence.

InfluenzaProphet ModelPrediction

刘杨、周浩月、陆锦琪、亓云鹏、王远航、贾磊、查亦微、周晚玲、富小飞

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嘉兴市疾病预防控制中心,浙江嘉兴 314000

嘉兴学院附属医院(嘉兴市第一医院)感控与公共卫生部,浙江嘉兴 314000

流行性感冒 Prophet模型 预测

嘉兴市科技计划嘉兴市科技计划

2022AY300262021AD30013

2024

疾病监测
中国疾病预防控制中心

疾病监测

CSTPCD北大核心
影响因子:1.567
ISSN:1003-9961
年,卷(期):2024.39(5)