Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
PLoS One. 2022 Feb 2;17(2):e0263127. doi: 10.1371/journal.pone.0263127. eCollection 2022.
Non-healthcare workers with a high potential for exposure to severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) may contribute to the virus spreading. Data among asymptomatic and high exposure risk populations is still scarce, in particular Chiang Mai and Lamphun provinces, Thailand. We conducted a cross-sectional observational study aiming to assess the prevalence of SARS-CoV-2 RNA positivity, anti-SARS-CoV-2 IgM/IgG, and potential associated factors among asymptomatic/mild symptomatic individuals with a high exposure risk in Chiang Mai and Lamphun provinces, during the second wave of outbreak in Thailand (November 2020-January 2021). Socio-demographic data was collected through an on-line questionnaire prior to collection of nasopharyngeal/throat swab samples and blood samples tested for SARS-CoV-2 RNA (DaAn Gene, China) and anti-SARS-CoV-2 IgM/IgG antibodies (commercial lateral flow immunoassays), respectively. Univariable and multivariable logistic regression analysis were used to analyze associated factors. None of 1,651 participants were found positive for SARS-CoV-2 RNA (0%, 95% confidence intervals, CI: 0-0.2). Fourteen were positive for anti-SARS-CoV-2 IgM/IgG antibodies (0.9%, 95% CI: 0.5-1.4), including 7 positives for IgM and 7 positives for IgG (0.4%, 95% CI: 0.2-0.9). Being over 50 years old was independently associated with virus exposure (OR: 5.8, 95% CI: 1.0-32.1%, p = 0.045). Despite high exposure risk, no current infection was found, and a very high proportion was still susceptible to SARS-CoV-2 infection and would clearly benefit from vaccination. Continuing active surveillance, rolling out of vaccination and monitoring response to vaccine will help better control the COVID-19 spread.
非医护工作者若具有较高感染严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)的风险,可能会助长病毒传播。无症状和高暴露风险人群的数据仍然匮乏,特别是在泰国清迈府和南邦府。我们开展了一项横断面观察性研究,旨在评估高暴露风险的无症状/轻症个体中 SARS-CoV-2 RNA 阳性率、抗 SARS-CoV-2 IgM/IgG 及潜在相关因素,研究时间为泰国第二波疫情期间(2020 年 11 月至 2021 年 1 月)。在采集鼻咽/咽拭子样本和血液样本之前,通过在线问卷收集社会人口统计学数据,分别使用达安基因(中国)的 SARS-CoV-2 RNA 和商业侧向流动免疫测定法检测抗 SARS-CoV-2 IgM/IgG 抗体。采用单变量和多变量逻辑回归分析来分析相关因素。1651 名参与者中均未检出 SARS-CoV-2 RNA(0%,95%置信区间,CI:0-0.2)。14 人抗 SARS-CoV-2 IgM/IgG 抗体阳性(0.9%,95%CI:0.5-1.4),包括 7 人 IgM 阳性,7 人 IgG 阳性(0.4%,95%CI:0.2-0.9)。年龄超过 50 岁与病毒暴露独立相关(OR:5.8,95%CI:1.0-32.1%,p=0.045)。尽管存在高暴露风险,但未发现当前感染,仍有很高比例的人易感染 SARS-CoV-2,显然会受益于疫苗接种。持续开展主动监测,推广疫苗接种并监测疫苗接种反应,将有助于更好地控制 COVID-19 传播。