Thai Binh University of Medicine and Pharmacy, Thai Binh, Vietnam.
Thai Binh Province General Hospital, Thai Binh, Vietnam.
Trop Med Int Health. 2022 May;27(5):515-521. doi: 10.1111/tmi.13744. Epub 2022 Mar 25.
To assess the magnitude of active and recovering COVID-19 patients among at-risk communities and to identify the factors associated with positive serology.
Four hundred and eighty-three close contacts of COVID-19 patients residing in Ho Chi Minh City, Vietnam, during the fourth wave of the COVID-19 epidemic (September and October 2021) were included. Five weeks after exposure to a COVID-19 patient, they underwent a serology test using the BIOSYNEX COVID-19 BSS kit.
The median age of participants was 37 years. A total of 34.6% individuals presented at least one clinical symptom between the time of contact with the COVID-19 patient and inclusion in study. A total of 1.7% unvaccinated individuals tested positive for SARS-CoV-2 using real-time PCR, and 9.5% had evidence of recent infection (positive PCR and/or IgM). A further 26.7% unvaccinated individuals presented evidence of a past infection (positive IgG only). Socio-demographic characteristics, vaccination status and clinical symptoms were not associated with a positive IgM test.
This is the first serosurvey conducted during the fourth wave of the epidemic in Vietnam. It revealed a seropositivity rate higher than in previous studies and confirmed the hyperendemicity of SARS-CoV-2. Testing using rapid serological tests proved to be a reliable, easy-to-use method and enabled a rapid estimation of the burden of COVID-19.
评估高危社区中活动性和恢复期 COVID-19 患者的数量,并确定与血清学阳性相关的因素。
纳入 2021 年 9 月至 10 月期间居住在越南胡志明市的 483 名 COVID-19 患者的密切接触者。在接触 COVID-19 患者后 5 周,他们使用 BIOSYNEX COVID-19 BSS 试剂盒进行血清学检测。
参与者的中位年龄为 37 岁。在与 COVID-19 患者接触和纳入研究期间,共有 34.6%的个体出现至少一种临床症状。未接种疫苗的个体中,有 1.7%的个体通过实时 PCR 检测出 SARS-CoV-2 阳性,9.5%的个体有近期感染的证据(PCR 和/或 IgM 阳性)。另有 26.7%的未接种疫苗个体出现既往感染的证据(仅 IgG 阳性)。社会人口学特征、疫苗接种状况和临床症状与 IgM 检测阳性无关。
这是越南第四次疫情期间进行的首次血清学调查。结果显示血清阳性率高于以往研究,证实了 SARS-CoV-2 的高度流行。快速血清学检测证明是一种可靠、易于使用的方法,能够快速估计 COVID-19 的负担。