COVID-19 w Polsce — sekwencja epidemii według modelu SIR

Katarzyna Pastuszka, Sławomir Pastuszka
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Abstract

The paper aims to indicate the duration and intensity of the COVID-19 epidemic in Poland. To achieve this goal, the SIR interval model was used. The study was based on data from the Central Statistical Office, Hopkins University, and the Institute of Global Health at the University of Geneva. Based on the analysis results, it was established that the prognosis of the epidemic’s course largely depends on the size of the adopted R virus reproduction coefficient. The higher the coefficient, the more rapid the predicted course of the epidemic, the shorter the duration, and the greater the number of infected. And vice versa: the smaller the coefficient, the milder its course, the longer its duration, and the smaller the number of infected. For this reason, it is important to accurately assess the intensity of the epidemic’s development measured by the virus renewal rate, depending on the nature and intensity of interpersonal contacts. Perhaps in a given country different values of the coefficient for urbanized and rural areas should be used.
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本文旨在表明COVID-19疫情在波兰的持续时间和强度。为了实现这一目标,使用了SIR区间模型。这项研究基于中央统计局、霍普金斯大学和日内瓦大学全球卫生研究所的数据。根据分析结果,确定疫情病程的预后在很大程度上取决于采用的R病毒繁殖系数的大小。该系数越高,预测的流行过程越快,持续时间越短,感染人数越多。反之,系数越小,病程越轻,持续时间越长,感染人数越少。因此,重要的是要根据人际接触的性质和强度,准确评估以病毒更新率衡量的疫情发展强度。也许在一个特定的国家,城市化和农村地区的系数应该使用不同的值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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