V. Shcherbak, I. Gryshchenko, L. Ganushchak-Yefimenko, O. Nifatova, V. Tkachuk, T. Kostiuk, V. Hotra
{"title":"Using a sharing-platform to prevent a new outbreak of COVID-19 pandemic in rural areas","authors":"V. Shcherbak, I. Gryshchenko, L. Ganushchak-Yefimenko, O. Nifatova, V. Tkachuk, T. Kostiuk, V. Hotra","doi":"10.22034/GJESM.2021.02.01","DOIUrl":null,"url":null,"abstract":"BACKGROUND AND OBJECTIVES: A new wave of Covid-19 pandemic has worsened the epidemiological situation in Ukraine. This caused the need to tighten quarantine measures that have been introduced since 31.08.2020. The conducted analysis showed that there are 3 groups of technologies for digital contact tracing: from maximum (25%) to minimum (20%). Objective of the study is to develop an exchange platform to track the spread of COVID-19 in rural areas. METHODS: Factor analysis identified key factors of COVID-19 virus spread. Cluster analysis identified clusters of COVID-19 spread. Taxonomy method established the limits of using contact tracing methods. Discriminatory method makes it possible to change the applied contact tracing method. FINDINGS: The results showed that the identified factors (medico-demographic special features of Covid-19 virus spread; rural infrastructure to counteract the infection) describe in total 83.24% of the data processed. Specified 4 clusters differ in the level of susceptibility of the population to COVID-19 and infrastructure development: from minimum (33% of the united territorial communities) to maximum - 13% of the united territorial communities. The value of the integral indicator calculated provides means for establishing the maximum (8.5) and the minimum (2) limit of changes in the method of digital contact tracing. CONCLUSION: The developed methodology was implemented on the basis of the united territorial communities of Sumy region. Monitoring of changes in the epidemiological situation made it possible to justify the need to change the contact tracing model, which will reduce the epidemiological level in the region as a whole by 30%. ========================================================================================== COPYRIGHTS©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. ==========================================================================================","PeriodicalId":46495,"journal":{"name":"GLOBAL JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT-GJESM","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBAL JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT-GJESM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22034/GJESM.2021.02.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 6
利用共享平台防止新冠肺炎大流行在农村地区爆发
背景和目的:新一波Covid-19大流行使乌克兰的流行病学形势恶化。这导致有必要加强自2020年8月31日以来实施的隔离措施。所进行的分析表明,有三组数字接触追踪技术:从最多(25%)到最少(20%)。本研究的目的是开发一个追踪COVID-19在农村地区传播的交流平台。方法:通过因子分析,确定COVID-19病毒传播的关键因素。聚类分析确定了COVID-19传播的聚类。分类法确定了接触者追踪方法的局限性。鉴别方法使得改变所应用的接触者追踪方法成为可能。结果表明:鉴定的因素(Covid-19病毒传播的医学-人口学特征;农村基础设施抵御感染)描述了总共处理的83.24%的数据。指定的4个群集在人口对COVID-19的易感性水平和基础设施发展情况方面有所不同:从最低(占联合领土社区的33%)到最高(占联合领土社区的13%)。所计算的积分指示值提供了在数字接触追踪方法中建立最大(8.5)和最小(2)变化极限的方法。结论:所开发的方法在苏梅地区联合属地社区的基础上是可行的。对流行病学情况变化的监测使改变接触者追踪模式的必要性成为可能,这将使整个区域的流行病学水平降低30%。========================================================================================== 版权©2021年作者(年代)。这是一篇根据知识共享署名协议(CC BY 4.0)发布的开放获取文章,该协议允许在任何媒体上不受限制地使用、分发和复制,只要引用原作者和来源。不需要作者或出版商的许可。==========================================================================================
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