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Journal|[J]International Journal of Education and Management EngineeringVolume 12, Issue 1. 2022. PP 1-10
MT利用机器学习算法分析接种疫苗对阿塞拜疆Covid-19确诊病例和死亡的影响
Analyzing the Impact of Vaccination on COVID-19 Confirmed Cases and Deaths in Azerbaijan Using Machine Learning Algorithm
摘要 / Abstract
MT
近两年来,世界一直在与全球麻烦——COVID-19大流行病作斗争。这种疾病已蔓延到全球约225个国家,甚至摧毁了最发达国家的医疗体系。?政府找到唯一的出路是实行严格的检疫制度和紧急状态。科学家们立即开始对疫苗进行检测。疫苗仍将是地球居民的唯一救世主。因为这些大流行感染中的许多恰恰是由于过去的疫苗所预防的。尽管严格检疫措施后感染人数的减少使得限制得以缓解,但下一波?很快启动。这就使得尽快制备疫苗成为必要。去年底,预期的消息传来。由此可见,在2020年12月,疫苗接种过程已经在多个国家启动。阿塞拜疆也是最早加入疫苗接种的国家之一。2021年1月18日开始的预防接种过程继续进行,条件是4种疫苗可供人群使用。由于接种疫苗,阿塞拜疆的流行病学情况得到控制,正如许多国家一样。本文曾试图寻找疫苗接种与COVID-19确诊病例及死亡的相关性。为此目的,在从约翰霍普金斯大学系统科学和工程中心GitHub存储库获取的阿塞拜疆数据收集中采用了基于k-means聚类的机器学习方法。这项研究可使各国政府、利益攸关方和卫生保健部门的有关机构在监测疫苗接种过程和更真实地评估流行病学情况方面受益,并作出控制和管理疾病传播的重要决定。
原文
For almost two years, the world has been battling a global trouble- the COVID-19 pandemic. The disease, which has spread to about 225 countries around the world, has devastated the healthcare system of even the most developed countries.  Governments have found the only way out is to impose a strict quarantine regime and state of emergency. Scientists immediately began testing the vaccine. Vaccination would still be the only savior of the planet's inhabitants.Because many of these pandemic infections have exactly been prevented thanks to vaccines in the past. Although the reduction in the number of infections after strict quarantine measures allowed the restrictions to be eased, the next wave  was starting soon. This made it necessary the preparation of the vaccine as soon as possible. At the end of last year, the expected news came. Thus, in December 2020, the vaccination process has been launched in a number of countries. Azerbaijan is also one of the first countries to join the vaccination. The vaccination process, which began on January 18, 2021 continues, provided that 4 types of vaccines are available to the population. As a result of vaccination, the epidemiological situation in Azerbaijan is under control, as in many countries. In this article has been attempted to find a correlation between vaccination and COVID-19-confirmed cases and deaths. For this purpose, the k-means cluster-based machine learning method has been used in the Azerbaijan data collection obtained from the GitHub repository of the Center for Systems Science and Engineering at Johns Hopkins University. This research can benefit governments, stakeholders, and relevant institutions in the health care sector in monitor the vaccination process and more detally assess the epidemiological situation , and make important decisions to control and manage the spread of the disease.
关键词 / Keywords
MT
冠状病毒; Sars - Cov - 2; Covid - 19大流行; 机器学习; K - Means聚类。
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