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粤西地区及各地级市新型冠状病毒肺炎疫情发展趋势预测分析—基于Holt双参数指数平滑模型的研究 被引量:10

Prediction of Epidemic Tread of COVID-19 in Western Guangdong and Other Prefecture-level Cities:a Study Based on Holt Two-parameter Exponential Smoothing Model
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摘要 背景我国新型冠状病毒肺炎(COVID-19)疫情防控仍处于关键时期,而判断疫情未来流行趋势是制定下一阶段防控措施的关键所在。目的通过计算粤西地区及各地级市COVID-19的基本再生数(R0)而预测粤西地区疫情发展趋势。方法依据广东省卫生健康委员会截止2020年2月18日24时的官方数据构建传染病动力学SIR模型,计算现阶段粤西地区及各地级市COVID-19的R0,并采用Holt双参数指数平滑模型预测其发展趋势。结果疫情初期粤西地区及各地级市COVID-19的R0最大,随后呈下降趋势;根据拟合结果发现,Holt双参数指数平滑模型对粤西地区及各地级市COVID-19 R0的预测值与观察值的相关性较强,可见该模型预测较准确;Holt双参数指数平滑模型预测粤西地区及各地级市COVID-19疫情可能在2月底迎来“拐点”并走向消亡。结论Holt双参数指数平滑模型对粤西地区及各地级市COVID-19 R0的预测较准确,并预测在现有高效防控措施下,粤西地区及各地级市COVID-19疫情正在好转,有望在2月底出现“拐点”。 Background China is still in a critical period for preventing and controlling the epidemic of coronavirus disease 2019(COVID-19),thus determining the future epidemic trend of COVID-19 is the key to make the prevention and control measures for the next stage.Objective To forecast the future epidemic trend of COVID-19 in Western Guangdong through estimating the basic reproduction number(R0)of COVID-19 in Western Guangdong and other prefecture-level cities.Methods Susceptible-Infected-Recovered(SIR)model was constructed to calculate R0 of COVID-19 in Western Guangdong and other prefecture-level cities according to the official data from Guangdong Health Commission up to February 18,2020,and Holt two-parameter exponential smoothing model was used to predict the epidemic trend of COVID-19 in the future.Results The largest R0 of COVID-19 was observed at the initial stage of the epidemic in Western Guangdong and other prefecture-level cities,and then showed a continuously declining trend;the correlation between the observed value and the predicted value of R0 in predicting the epidemic trend of COVID-19 was significantly strong in Western Guangdong and other prefecture-level cities according to the fitting results,which verified that Holt two-parameter exponential smoothing model was relatively accurate;Holt two-parameter exponential smoothing model forecasted that,“inflection point”of the epidemic of COVID-19 may occur at the end of February and begin to disappear in Western Guangdong and other prefecture-level cities.Conclusion Holt twoparameter exponential smoothing model is relatively accurate in predicting the R0 of COVID-19 in Western Guangdong and other prefecture-level cities,the epidemic of COVID-19 has been improved and is expected to reach an“inflection point”at the end of February based on the current effective prevention and control measures in Western Guangdong and other prefecture-level cities.
作者 林挺葵 吴家园 刘华锋 潘振宇 李筱 赖维光 赖天文 吕军 LIN Tingkui;WU Jiayuan;LIU Huafeng;PAN Zhenyu;LI Xiao;LAI Weiguang;LAI Tianwen;LYU Jun(Clinical Research Center(Scientific Research Department),the Affiliated Hospital of Guangdong Medical University,Zhanjiang 524001,China;Department of Nephrology,the Affiliated Hospital of Guangdong Medical University,Zhanjiang 524001,China;Department of Pharmacy,Xi'an Children's Hospital,Xi'an 710003,China;Department of Clinical Medicine,Qinghai Institute of Health Sciences,Xining 810000,China;Department of Respiratory and Critical Medicine,the Affiliated Hospital of Guangdong Medical University,Zhanjiang 524001,China;Clinical Research Department,the First Affiliated Hospital of Ji'nan University,Guangzhou 510630,China)
出处 《实用心脑肺血管病杂志》 2020年第2期13-17,共5页 Practical Journal of Cardiac Cerebral Pneumal and Vascular Disease
基金 广东省医学科研基金项目(A2018162) 广东省自然科学基金项目(2015A030313827)。
关键词 肺炎 病毒性 新型冠状病毒肺炎 SIR模型 基本再生数 Holt双参数指数平滑模型 Pneumonia viral Coronavirus disease 2019 SIR model Basic reproduction number Holt twoparameter exponential smoothing model
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