巴西圣保罗市在德尔塔和奥密克戎流行期间无症状 SARS-CoV-2 感染的流行病学和基因组分析。

Epidemiological and Genomic Analysis of Asymptomatic SARS-CoV-2 Infections during the Delta and Omicron Epidemic Waves in São Paulo City, Brazil.

机构信息

Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo 05507-000, SP, Brazil.

Ribeirão Preto Medical School, Ribeirão Preto 14051-140, SP, Brazil.

出版信息

Viruses. 2023 Nov 3;15(11):2210. doi: 10.3390/v15112210.

Abstract

We examined the asymptomatic rates of SARS-CoV-2 infection during the Delta and Omicron waves in the city of São Paulo. Nasopharyngeal swabs were collected at strategic points of the city (open-air markets, bus terminals, airports) for SARS-CoV-2 RNA testing. Applying the questionnaire, the symptomatic individuals were excluded, and only asymptomatic cases were analyzed. During the Delta wave, a total of 4315 samples were collected, whereas 2372 samples were collected during the first Omicron wave. The incidence of the asymptomatic SARS-CoV-2 infection was 0.6% during the Delta wave and 0.8% during the Omicron wave. No statistical differences were found in the threshold amplification cycle. However, there was a statistical difference observed in the sublineage distribution between asymptomatic and symptomatic individuals. Our study determined the incidence of asymptomatic infection by monitoring individuals who remained symptom-free, thereby providing a reliable evaluation of asymptomatic SARS-CoV-2 carriage. Our findings reveal a relatively low proportion of asymptomatic cases, which could be attributed to our rigorous monitoring protocol for the presence of clinical symptoms. Investigating asymptomatic infection rates is crucial to develop and implement effective disease control strategies.

摘要

我们研究了 SARS-CoV-2 在圣保罗市的 Delta 和 Omicron 波期间无症状感染的发生率。在城市的战略点(露天市场、公共汽车站、机场)采集鼻咽拭子,用于 SARS-CoV-2 RNA 检测。应用问卷排除有症状的个体,仅分析无症状病例。在 Delta 波期间,共采集了 4315 份样本,而在第一波 Omicron 期间采集了 2372 份样本。Delta 波期间无症状 SARS-CoV-2 感染的发生率为 0.6%,Omicron 波期间为 0.8%。在阈值扩增循环中未发现统计学差异。然而,在无症状和有症状个体之间的亚谱系分布中观察到了统计学差异。我们的研究通过监测无症状个体来确定无症状感染的发生率,从而对无症状 SARS-CoV-2 携带情况进行了可靠的评估。我们的研究结果显示,无症状病例的比例相对较低,这可能归因于我们对临床症状存在的严格监测方案。调查无症状感染率对于制定和实施有效的疾病控制策略至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51cf/10675288/514a97ca98bc/viruses-15-02210-g001.jpg

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