波兰即将到来的新冠肺炎浪潮的概率计算

M. Arti, A. Wiliński
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引用次数: 0

摘要

我们提出了波兰新型冠状病毒(COVID-19)传播的风险估计/评估问题。在文献中,给出了一种解释COVID-19疾病的方法,并试图预测下一波COVID-19的发生。文献中使用高斯复合模型来识别COVID-19疾病。然而,在这个模型中,对即将到来的波浪的预测主要依赖于选定的样本集。对于不同的采样集,可以得到即将到来的波的不同时序。在本文中,我们假设概率与每组样本相关联,这些样本用于预测即将到来的波浪。通过这方面的探索,可以更好地预测即将到来的COVID-19浪潮。
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Probability Calculation of Upcoming Waves of COVID-19 in Poland
Abstract We present the problem of risk estimation/assessment of the new coronavirus (COVID-19) spread in Poland. In the literature, a method is given to explain the COVID-19 disease and try to predict the occurrence of the next wave of COVID-19. A Gaussian composite model is used in literature to identify COVID-19 disease. In this model, however, the prediction of the upcoming waves is dependent primarily on the set of selected samples. For different sets of samples, distinct timings of the upcoming waves are obtained. In this article, we assume that probability is associated with each set of samples, which are used for the prediction of the upcoming waves. By exploring this aspect, it is shown that a better prediction of the upcoming COVID-19 waves can be performed.
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