Department of Population Health and Disease Prevention, University of California Irvine, Irvine, California, United States of America.
Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America.
PLoS Pathog. 2024 Jun 20;20(6):e1012288. doi: 10.1371/journal.ppat.1012288. eCollection 2024 Jun.
Socio-economic disparities were associated with disproportionate viral incidence between neighborhoods of New York City (NYC) during the first wave of SARS-CoV-2. We investigated how these disparities affected the co-circulation of SARS-CoV-2 variants during the second wave in NYC. We tested for correlation between the prevalence, in late 2020/early 2021, of Alpha, Iota, Iota with E484K mutation (Iota-E484K), and B.1-like genomes and pre-existing immunity (seropositivity) in NYC neighborhoods. In the context of varying seroprevalence we described socio-economic profiles of neighborhoods and performed migration and lineage persistence analyses using a Bayesian phylogeographical framework. Seropositivity was greater in areas with high poverty and a larger proportion of Black and Hispanic or Latino residents. Seropositivity was positively correlated with the proportion of Iota-E484K and Iota genomes, and negatively correlated with the proportion of Alpha and B.1-like genomes. The proportion of persisting Alpha lineages declined over time in locations with high seroprevalence, whereas the proportion of persisting Iota-E484K lineages remained the same in high seroprevalence areas. During the second wave, the geographic variation of standing immunity, due to disproportionate disease burden during the first wave of SARS-CoV-2 in NYC, allowed for the immune evasive Iota-E484K variant, but not the more transmissible Alpha variant, to circulate in locations with high pre-existing immunity.
社会经济差距与纽约市(NYC)第一波 SARS-CoV-2 期间社区之间不成比例的病毒发病率有关。我们调查了这些差距如何影响第二波 NYC 中 SARS-CoV-2 变体的共同传播。我们测试了 Alpha、Iota、具有 E484K 突变的 Iota(Iota-E484K)和 B.1 样基因组在 2020 年末/2021 年初在 NYC 社区的流行率之间的相关性,以及与预先存在的免疫(血清阳性)之间的相关性。在血清流行率不同的情况下,我们描述了社区的社会经济概况,并使用贝叶斯系统地理学框架进行了迁移和谱系持续分析。高贫困地区和黑人和西班牙裔或拉丁裔居民比例较高的地区血清阳性率更高。血清阳性率与 Iota-E484K 和 Iota 基因组的比例呈正相关,与 Alpha 和 B.1 样基因组的比例呈负相关。在高血清阳性率的地方,持续存在的 Alpha 谱系的比例随着时间的推移而下降,而在高血清阳性率地区,持续存在的 Iota-E484K 谱系的比例保持不变。在第二波疫情中,由于 NYC 第一波 SARS-CoV-2 期间疾病负担不成比例,导致的现有免疫的地理变异允许免疫逃避的 Iota-E484K 变体传播,但不允许更具传染性的 Alpha 变体在具有高预先存在免疫的地方传播。