Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.
Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
PLoS Pathog. 2023 Apr 18;19(4):e1011348. doi: 10.1371/journal.ppat.1011348. eCollection 2023 Apr.
Since the latter part of 2020, SARS-CoV-2 evolution has been characterised by the emergence of viral variants associated with distinct biological characteristics. While the main research focus has centred on the ability of new variants to increase in frequency and impact the effective reproductive number of the virus, less attention has been placed on their relative ability to establish transmission chains and to spread through a geographic area. Here, we describe a phylogeographic approach to estimate and compare the introduction and dispersal dynamics of the main SARS-CoV-2 variants - Alpha, Iota, Delta, and Omicron - that circulated in the New York City area between 2020 and 2022. Notably, our results indicate that Delta had a lower ability to establish sustained transmission chains in the NYC area and that Omicron (BA.1) was the variant fastest to disseminate across the study area. The analytical approach presented here complements non-spatially-explicit analytical approaches that seek a better understanding of the epidemiological differences that exist among successive SARS-CoV-2 variants of concern.
自 2020 年末以来,SARS-CoV-2 的进化特征是出现了与不同生物学特征相关的病毒变体。虽然主要的研究重点集中在新变体增加频率和影响病毒有效繁殖数的能力上,但对它们相对建立传播链和在地理区域传播的能力关注较少。在这里,我们描述了一种系统地理学方法来估计和比较 2020 年至 2022 年间在纽约市地区流行的主要 SARS-CoV-2 变体——阿尔法、伊塔、德尔塔和奥密克戎——的传入和扩散动态。值得注意的是,我们的结果表明,德尔塔在纽约市地区建立持续传播链的能力较低,而奥密克戎(BA.1)是在研究区域内传播最快的变体。这里提出的分析方法补充了非空间显式分析方法,这些方法旨在更好地理解在连续的 SARS-CoV-2 关注变体之间存在的流行病学差异。