Nonsystematic Reporting Biases of the SARS-CoV-2 Variant Mu Could Impact Our Understanding of the Epidemiological Dynamics of Emerging Variants.
Nonsystematic Reporting Biases of the SARS-CoV-2 Variant Mu Could Impact Our Understanding of the Epidemiological Dynamics of Emerging Variants.
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DOI：
10.1093/gbe/evad052
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发表时间：
2023-04-05
影响因子：
3.3
通讯作者：
Fauver, Joseph R.
中科院分区：
文献类型：
--
作者：
Petrone, Mary E.;Lucas, Carolina;Menasche, Bridget;Breban, Mallery, I;Yildirim, Inci;Campbell, Melissa;Omer, Saad B.;Holmes, Edward C.;Ko, Albert, I;Grubaugh, Nathan D.;Iwasaki, Akiko;Wilen, Craig B.;Vogels, Chantal B. F.;Fauver, Joseph R.
对新出现的SARS-CoV-2变异体（VOCs）制定及时有效的应对措施具有至关重要的公共卫生意义。全球健康监测并不仅仅依靠基因组数据来识别出现的相关变异。相反，利用基因组数据来估计新兴谱系的流行病学动态的方法有可能作为一个早期预警系统。然而，这些方法假设基因组数据在循环谱系中均匀报告。在这项研究中，我们分析了SARS-CoV-2 VOC之间报告延迟的差异，作为对前VOC Mu全球响应时间的合理解释。Mu可能于2020年年中出现在南美洲，其发行量在很大程度上受到限制。在这项研究中，我们证明了Mu在出现1年后被指定为VOC，并发现Mu的基因组数据报告与国家，州和单个实验室内的其他VOC有显着差异。我们的研究结果表明，基因组数据报告中的非系统性偏差可能延迟了对Mu的全球反应。在这些问题得到解决之前，影响全球对Mu反应的监测差距可能会阻碍对未来新出现的变种进行快速准确的评估。
Developing a timely and effective response to emerging SARS-CoV-2 variants of concern (VOCs) is of paramount public health importance. Global health surveillance does not rely on genomic data alone to identify concerning variants when they emerge. Instead, methods that utilize genomic data to estimate the epidemiological dynamics of emerging lineages have the potential to serve as an early warning system. However, these methods assume that genomic data are uniformly reported across circulating lineages. In this study, we analyze differences in reporting delays among SARS-CoV-2 VOCs as a plausible explanation for the timing of the global response to the former VOC Mu. Mu likely emerged in South America in mid-2020, where its circulation was largely confined. In this study, we demonstrate that Mu was designated as a VOC ∼1 year after it emerged and find that the reporting of genomic data for Mu differed significantly than that of other VOCs within countries, states, and individual laboratories. Our findings suggest that nonsystematic biases in the reporting of genomic data may have delayed the global response to Mu. Until they are resolved, the surveillance gaps that affected the global response to Mu could impede the rapid and accurate assessment of future emerging variants.
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