SARS-CoV-2患者年度RT-PCR分析结果评价

Yakup Artik, Selen Zeliha Mart Komurcu, N. Cesur, C. Kazezoğlu, Yasemin Tuba Sutasir
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引用次数: 3

摘要

背景:如今,人们面临着一场名为COVID-19的大流行。可靠的病毒检测对于防止病毒传播非常重要。RT-PCR是目前世界上广泛使用的诊断该疾病的金标准方法。我们的研究报告了最多的样本量(1,461,258例患者样本)和不同的PCR阳性率结果。方法/研究设计:本研究旨在评估2020年3月25日至2021年3月25日(土耳其宣布并开始观察到大流行)期间所有样本中RT-PCR患者的阳性和阴性,并调查其对我国总检测能力的贡献。结果/结论:共观察1461258例患者,其中男性占58%,女性占42%。在秋季至2020年期间注意到的最大入学人数涉及年龄在25至35岁之间。阳性结果为14.6%,阴性结果为85.4%。在评估COVID-19(+)患者的年龄分布时,6-15岁年龄段的COVID-19(+)率最高,其次是66-75岁年龄段,11月和10月的COVID-19(+)率最高。此外,COVID-19(+)率最高的是秋季。根据测试结果,确定7.5%的男性参与者为COVID-19(+), 7.1%的女性参与者为COVID-19(+)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of SARS-CoV-2 patients with annual RT-PCR analysis results
Background: Nowadays, people have faced with a pandemic called COVID-19. The reliable detection of the virus is important to prevent transmission of the virus. RT-PCR is a gold standard method for the diagnosis of the disease used at all over the world. The highest number of sample size (1,461,258 patient sample) and differing results are reported with our study regarding the PCR positivity rates. Method/Study Design: The study was aimed to evaluate the positivity and negativity of the patients with RT-PCR from all the samples studied between March 25, 2020 and March 25, 2021, when the pandemic was declared and started to be seen in Turkey, and to investigate its contribution to the total test capacity of our country. Results/Conclusions: 1,461,258 patient is observed, and this frequency male is 58% and female is 42% of the population. The maximum number of admissions is noticed during the Autumn-2020 involved age ranged from 25 to 35. 14.6% positive result is got while the 85.4% negative result is observed. When the age distribution of COVID-19 (+) patients is evaluated, COVID-19 (+) rate is highest in the 6-15 age range, followed by the 66-75 age range and the highest COVID-19 (+) rate are November and October, respectively. Additionally, the highest COVID-19 (+) rate is in Autumn. According to the test results, it was determined that 7.5% of the male participants were COVID-19 (+) and 7.1% of the female participants were COVID-19 (+).
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