中国境外新冠肺炎病例输入风险空间差异的贝叶斯分析

International Journal of Statistical Distributions and Applications Pub Date : 2023-03-31 DOI:10.11648/j.ijsd.20230901.15

Bo Yang, Yunyuan Yang, W. Zheng, Yanmei Li, Xinping Yang

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引用次数: 0

摘要

分析新型冠状病毒肺炎输入风险的空间差异，有助于科学防控。在对研究时间内有疫情输入的25个省市进行聚类的基础上，在贝叶斯框架下建立了多项分布模型。所有参数均采用MCMC方法进行贝叶斯估计。从3月3日到4月23日，有海外投入的25个省市被分为9类

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Bayesian Analysis on the Spatial Difference of Input Risk of Overseas Cases of COVID-19 in China

: To analyze the spatial difference of COVID-19 import risk is helpful for scientific prevention and control. On the basis of clustering 25 provinces and cities with epidemic input in study time, a multinomial distribution model was established under the Bayesian framework. All parameters Bayesian estimation was obtained by MCMC method. 25 provinces and cities with overseas input were divided into 9 categories from March 3 to April 23

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International Journal of Statistical Distributions and Applications

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