利用k均值聚类和曲线拟合分析土耳其抗击新冠肺炎疫情

F. A. Şenel
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引用次数: 0

摘要

2019冠状病毒病是2019年底发生的一种全球性疾病,在很短的时间内就在世界各地产生了影响。世界卫生组织已动员世界所有国家在这次疫情造成的损害最小的情况下生存下来。一些国家的情况已得到控制,因为它们的卫生基础设施足够健全。另一方面,许多国家在疫情中遭受重大损失。已经采取预防措施的国家受到的影响较小,土耳其是主要国家之一。各国除了提前采取预防措施外,还在疫情期间相互指导。因此,应该分析领导抗击疫情的国家,每个国家都应该更新其预防措施以应对疫情。在本研究中,考虑了COVID-19死亡人数,并通过k均值聚类确定了与土耳其相似的国家。随后,通过将土耳其与这些类似国家的各种特点进行比较,揭示土耳其在抗击疫情中的地位。土耳其在疫情爆发前采取的预防措施表明,土耳其能够成功抗击新冠肺炎疫情。
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The Analysis of Turkey's Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting
The COVID-19 is a global disease that occurred at the end of 2019 and it has shown its effects all over the world in a very short time. World Health Organization has mobilized all the countries of the world to survive with minimal damage from this outbreak. The situation in some countries was under control as their health infrastructure is robust enough. On the other hand, many countries suffered significant damage from the outbreak. The countries that have already taken their precautions have suffered less, Turkey is one of the leading countries. Besides taking precautions in advance, countries are guiding each other throughout the outbreak. Therefore, the countries leading the fight against the outbreak should be analyzed and each country should update its precautions to fight the outbreak. In this study, COVID-19 deaths are taken into account and similar countries to Turkey are identified by K-means clustering. Later, by comparing the various characteristics of Turkey with these similar countries, Turkey’s status in fighting the outbreak is revealed. The precautions Turkey took before the outbreak showed that Turkey can fight the COVID-19 outbreak successfully.
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