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广东省新型冠状病毒肺炎疫情流行趋势的初步预测 被引量:44

Preliminary prediction of the epidemic trend of Corona Virus Disease 2019 in Guangdong province
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摘要 目的:通过计算和预测广东省新型冠状病毒肺炎的基本再生数,研究广东省疫情的流行趋势为其防控和相关政策支持提供依据.方法:依据广东省卫健委截至2020年2月8日的官方数据,构建传染病动力学SIR模型,计算现阶段新型冠状病毒肺炎基本再生数,并结合指数平滑法对未来基本再生数的变化加以预测.结果:疫情初期,广东省新冠肺炎基本再生数为2.48,并呈现波动下降的趋势.疫情将在2月下旬迎来拐点,3月下旬疫情将走向消亡.结论:新型冠状病毒肺炎在广东省的传播致病能力逐渐降低,目前阶段疫情正在逐步得到控制,采用及时有效的防控措施能够加快疫情的扑灭. Objective:To study the epidemic trend of Corona Virus Disease 2019(COVID-19)in Guangdong province by calculating and predicting the basic reproduction number,and to provide evidence for its prevention and control and related policy support.Methods:According to the official data of Health Commission of Guangdong Province up to February 8th,2020,SIR model of infectious disease dynamics was established to calculate the basic reproduction number of COVID-19 at current stage,and to predict the change of basic reproduction number in the future by using exponential smoothing method.Results:At the beginning of the epidemic,the basic reproduction number of COVID-19 in Guangdong province was 2.48 and showed a trend of fluctuation and decrease.The epidemic will reach an inflection point in late February,and be end in late March.Conclusion:The transmission capacity of COVID-19 has gradually reduced in Guangdong province.At present,the epidemic situation has been gradually under control,and effective and in-time prevention and control measures will accelerate the end of the epidemic.
作者 武文韬 柏如海 李达宁 冯敖梓 徐安定 吕军 WU Wentao;BAI Ruhai;LI Daning;FENG Aozi;XU Anding;LU Jun(Department of Clinical Research, the First Affiliated Hospital, Jinan University, Guangzhou 510630, China;School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China;Department of Neurology, the First Affiliated Hospital, Jinan University, Guangzhou 510630, China)
出处 《暨南大学学报(自然科学与医学版)》 CAS CSCD 北大核心 2020年第2期181-185,共5页 Journal of Jinan University(Natural Science & Medicine Edition)
基金 国家社会科学基金一般项目(16BGL183)。
关键词 新型冠状病毒肺炎(COVID-19) SIR模型 基本再生数 流行趋势 预测 Corona Virus Disease 2019(COVID-19) SIR model basic reproduction number epidemic trend prediction
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