Center for Public Health Research, University of Milan Bicocca, 20900 Monza, Italy.
IRCCS MultiMedica, 20099 Sesto San Giovanni, Italy.
Int J Environ Res Public Health. 2021 Mar 4;18(5):2567. doi: 10.3390/ijerph18052567.
Sero-epidemiological surveys are valuable attempts to estimate the circulation of SARS-CoV-2 in general or selected populations. Within this context, a prospective observational study was conducted to estimate the prevalence and persistence of SARS-CoV-2 antibodies in different categories of workers and factors associated with positivity, through the detection of virus-specific immunoglobulin G and M (IgG/IgM) in serum samples. Enrollees were divided in low exposure and medium-high groups on the basis of their work activity. Antibody responders were re-contacted after 3 months for the follow-up. Of 2255 sampled workers, 4.8% tested positive for SARS-CoV-2 IgG/IgM antibodies, with 81.7% to IgG only. Workers who continued to go to their place of work, were healthcare workers, or experienced at least one COVID-19-related symptom were more likely to test positive for SARS-CoV-2 antibodies. SARS-CoV-2 antibodies prevalence was significantly higher in the medium-high risk vs. low-risk group (7.2% vs. 3.0%, < 0.0001). At 3-month follow-up, 81.3% of subjects still had antibody response. This study provided important information of SARS-CoV-2 infection prevalence among workers in northern Italy, where the impact of COVID-19 was particularly intense. The presented surveillance data give a contribution to refine current estimates of the disease burden expected from the SARS-CoV-2.
血清流行病学调查是一种评估 SARS-CoV-2 在一般或特定人群中传播情况的有效方法。在此背景下,开展了一项前瞻性观察研究,通过检测血清样本中病毒特异性免疫球蛋白 G 和 M(IgG/IgM),来评估不同类别工人中 SARS-CoV-2 抗体的流行率和持久性,以及与阳性结果相关的因素。根据工作活动的不同,将参与者分为低暴露和中高暴露组。在 3 个月时对抗体应答者进行随访。在 2255 名采样工人中,4.8%检测到 SARS-CoV-2 IgG/IgM 抗体阳性,其中 81.7%仅为 IgG 阳性。继续上班、从事医疗工作或出现至少一种 COVID-19 相关症状的工人更有可能检测到 SARS-CoV-2 抗体阳性。中高风险组 SARS-CoV-2 抗体的阳性率明显高于低风险组(7.2%比 3.0%,<0.0001)。在 3 个月的随访中,81.3%的受试者仍有抗体反应。本研究提供了意大利北部工人中 SARS-CoV-2 感染流行率的重要信息,COVID-19 在该地区的影响尤为严重。这些监测数据有助于完善当前对 SARS-CoV-2 预期疾病负担的估计。