印度诊断实验室的COVID-19血清患病率研究-性别和年龄分析报告

Kallathikumar Kallathiyan, A. Velumani, S. Iyer, Krishnakumar Sivapandi, A. Velumani
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引用次数: 3

摘要

在COVID-19中,对暴露、症状和恢复的影响程度的探索仍然很少,因为跨地域研究具有挑战性。我们研究报告的目的是探讨不同年龄组的泛印度亚裔印度人的血清患病率。共对136210名亚裔印度人进行了新冠病毒抗体检测,其中男性97124人,女性39086人。采用电化学发光免疫分析法(ECLIA)和酶联免疫吸附法(ELISA)检测covid-19抗体。血清学阳性率分析发现其发生率为19%。女性的阳性率为21%,高于男性的19%,差异有统计学意义(p < 0.0001)。此外,年龄组分析发现21 - 80岁年龄组之间的血清患病率显著(p < 0.0001)。我们的研究发现,女性的血清患病率较高,这与网上发表的许多小型队列研究一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 seroprevalence study of an Indian Diagnostic Laboratory - Report on gender and age analysis
In COVID-19 the extent of the impact on exposure, symptoms, recovery remains minimally explored as the spectrum is challenging to study across geographies. The aim of our study report was to explore seroprevalence in a pan-India cohort of Asian Indians across different age groups. Covid-19 antibodies were tested from a total of 1,36,210 Asian Indians inclusive of 97,124 males and 39,086 females, respectively. Testing for covid-19 antibodies was done by electrochemiluminescence immunoassay (ECLIA) and enzyme-linked immunosorbent assay (ELISA). Analysis for seroprevalence found the frequency to be 19%. The percent positives were higher among females at 21%, compared to males at 19%, and the difference was found to be statistically significant at p < 0.0001. Further, age group-wise analysis found seroprevalence between age groups of 21 - 80 years to be significant at p < 0.0001. Our study found higher seroprevalence among females, which is in line with many small cohort studies published online.
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