Importation of Alpha and Delta variants during the SARS-CoV-2 epidemic in Switzerland: Phylogenetic analysis and intervention scenarios.

IF 6.7 1区 医学 Q1 Immunology and Microbiology PLoS Pathogens Pub Date : 2023-08-10 eCollection Date: 2023-08-01 DOI:10.1371/journal.ppat.1011553
Martina L Reichmuth, Emma B Hodcroft, Christian L Althaus
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Abstract

The SARS-CoV-2 pandemic has led to the emergence of various variants of concern (VoCs) that are associated with increased transmissibility, immune evasion, or differences in disease severity. The emergence of VoCs fueled interest in understanding the potential impact of travel restrictions and surveillance strategies to prevent or delay the early spread of VoCs. We performed phylogenetic analyses and mathematical modeling to study the importation and spread of the VoCs Alpha and Delta in Switzerland in 2020 and 2021. Using a phylogenetic approach, we estimated between 383-1,038 imports of Alpha and 455-1,347 imports of Delta into Switzerland. We then used the results from the phylogenetic analysis to parameterize a dynamic transmission model that accurately described the subsequent spread of Alpha and Delta. We modeled different counterfactual intervention scenarios to quantify the potential impact of border closures and surveillance of travelers on the spread of Alpha and Delta. We found that implementing border closures after the announcement of VoCs would have been of limited impact to mitigate the spread of VoCs. In contrast, increased surveillance of travelers could prove to be an effective measure for delaying the spread of VoCs in situations where their severity remains unclear. Our study shows how phylogenetic analysis in combination with dynamic transmission models can be used to estimate the number of imported SARS-CoV-2 variants and the potential impact of different intervention scenarios to inform the public health response during the pandemic.

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瑞士严重急性呼吸系统综合征冠状病毒2型疫情期间阿尔法和德尔塔变异株的输入:系统发育分析和干预方案。
SARS-CoV-2大流行导致各种变异毒株(VoCs)的出现,这些变种与传播性增加、免疫逃避或疾病严重程度的差异有关。VoCs的出现激发了人们对了解旅行限制和监控策略的潜在影响的兴趣,以防止或延迟VoCs的早期传播。我们进行了系统发育分析和数学建模,以研究2020年和2021年VoCs Alpha和Delta在瑞士的输入和传播。使用系统发育方法,我们估计瑞士的阿尔法进口量为383-1038,德尔塔进口量为455-1347。然后,我们使用系统发育分析的结果来参数化一个动态传播模型,该模型准确描述了阿尔法和德尔塔的后续传播。我们模拟了不同的反事实干预场景,以量化边境关闭和对旅行者的监控对阿尔法和德尔塔传播的潜在影响。我们发现,在宣布VoCs后实施边境关闭对缓解VoCs传播的影响有限。相比之下,在VOC严重程度尚不清楚的情况下,加强对旅行者的监测可能是延缓VOC传播的有效措施。我们的研究表明,系统发育分析与动态传播模型相结合,可以用来估计输入的严重急性呼吸系统综合征冠状病毒2型变异株的数量,以及不同干预方案的潜在影响,为疫情期间的公共卫生应对提供信息。
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来源期刊
PLoS Pathogens
PLoS Pathogens 生物-病毒学
CiteScore
11.40
自引率
3.00%
发文量
598
审稿时长
2 months
期刊介绍: Bacteria, fungi, parasites, prions and viruses cause a plethora of diseases that have important medical, agricultural, and economic consequences. Moreover, the study of microbes continues to provide novel insights into such fundamental processes as the molecular basis of cellular and organismal function.
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