Retrospective Analysis of COVID 2020 Epidemiological Data in the Town of Kardzhali

V. Yordanova, Slaveija Dimitrova, Magdalena Marinova, Diana Valcheva, V. Kirchev, T. Tcherkezov
{"title":"Retrospective Analysis of COVID 2020 Epidemiological Data in the Town of Kardzhali","authors":"V. Yordanova, Slaveija Dimitrova, Magdalena Marinova, Diana Valcheva, V. Kirchev, T. Tcherkezov","doi":"10.18535/ijmsci/v9i01.07","DOIUrl":null,"url":null,"abstract":"Objectives:  We aim to present the retrospective results and statistical analysis of a year under COVID19 pandemic. Such analyses might be of great importance for management of individual cases of the disease on a day-to-day basis, as well as deciding upon certain restrictive measures as a whole; border-crossings movement, diagnostic testing and limiting travels in order to contain the pandemic of Covid 19. We hope our data contributes for further epidemiological investigations and future reference information.\nDesign and methods: We combined collected information from our rtPCR test results, statistical data within our hospital and epidemiological data according to our Regional Health Inspection. The collected data is cumulative and statistical analysis incredibly helpful and necessary. Our Molecular Diagnostics Unit is licensed within the territory of Bulgaria. Our methods were strict protocols from the guidelines of National Center for Infectious and Parasitic Diseases-Bulgaria; the kits we use are all CE, the overall concept in sync with the global regulations as from the CDC and the WHO. Statistical analyses were done with ANOVA tool.\nResults: We give an overview of the collected data over the months of pandemic for the year 2020, as we observe several increases in the numbers of infected patients, but instead of having graphs with distinctive peaks we demonstrate a steady increase, giving a glimpse of the magnitude of the pandemic that followed after. The rtPCR test results are presented by pool data for both healthy travelling individuals and patients for confirming Covid diagnosis.\nDiscussion: The current report represents retrospective data and suggests the possibilities, available to nations and applicable locally and of immense importance near border-crossing regions in a situation of pandemic with such magnitude and without the immediate access to vaccines and reliable treatment resources for novel infectious outbreaks.","PeriodicalId":14151,"journal":{"name":"International Journal Of Medical Science And Clinical Invention","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal Of Medical Science And Clinical Invention","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18535/ijmsci/v9i01.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives:  We aim to present the retrospective results and statistical analysis of a year under COVID19 pandemic. Such analyses might be of great importance for management of individual cases of the disease on a day-to-day basis, as well as deciding upon certain restrictive measures as a whole; border-crossings movement, diagnostic testing and limiting travels in order to contain the pandemic of Covid 19. We hope our data contributes for further epidemiological investigations and future reference information. Design and methods: We combined collected information from our rtPCR test results, statistical data within our hospital and epidemiological data according to our Regional Health Inspection. The collected data is cumulative and statistical analysis incredibly helpful and necessary. Our Molecular Diagnostics Unit is licensed within the territory of Bulgaria. Our methods were strict protocols from the guidelines of National Center for Infectious and Parasitic Diseases-Bulgaria; the kits we use are all CE, the overall concept in sync with the global regulations as from the CDC and the WHO. Statistical analyses were done with ANOVA tool. Results: We give an overview of the collected data over the months of pandemic for the year 2020, as we observe several increases in the numbers of infected patients, but instead of having graphs with distinctive peaks we demonstrate a steady increase, giving a glimpse of the magnitude of the pandemic that followed after. The rtPCR test results are presented by pool data for both healthy travelling individuals and patients for confirming Covid diagnosis. Discussion: The current report represents retrospective data and suggests the possibilities, available to nations and applicable locally and of immense importance near border-crossing regions in a situation of pandemic with such magnitude and without the immediate access to vaccines and reliable treatment resources for novel infectious outbreaks.
卡尔扎利镇2019冠状病毒病流行病学数据回顾性分析
目的:我们旨在提供covid - 19大流行下一年的回顾性结果和统计分析。这种分析可能对日常的疾病个案管理以及整体上决定某些限制性措施非常重要;跨境流动、诊断检测和限制旅行,以遏制Covid - 19大流行。我们希望这些数据对进一步的流行病学调查和未来的参考信息有所贡献。设计与方法:我们将收集到的rtPCR检测结果、本院统计资料和区域卫生检查流行病学资料相结合。收集的数据是累积的,统计分析是非常有用和必要的。我们的分子诊断部门在保加利亚境内获得许可。我们的方法严格遵循保加利亚国家传染病和寄生虫病中心的指导方针;我们使用的试剂盒都是CE,整体概念与疾病预防控制中心和世界卫生组织的全球法规同步。统计学分析采用方差分析(ANOVA)工具。结果:我们概述了在2020年大流行的几个月里收集的数据,因为我们观察到感染患者人数的几次增加,但我们没有使用具有明显峰值的图表,而是展示了稳定的增长,从而瞥见了随后大流行的规模。rtPCR检测结果由健康旅行人员和患者的汇总数据提供,以确认Covid诊断。讨论:本报告提供了回顾性数据,并提出了各种可能性,这些可能性可供各国使用,在当地适用,在发生如此严重的大流行病的情况下,在无法立即获得疫苗和可靠的治疗资源以应对新的传染病暴发的情况下,在过境地区附近具有极其重要的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信