Banho Cecília Artico, de Carvalho Marques Beatriz, Sacchetto Lívia, Sepedro Lima Ana Karoline, Pereira Parra Maisa Carla, Jeronimo Lima Alex Ranieri, Ribeiro Gabriela, Jorge Martins Antonio, Dos Santos Barros Claudia Renata, Carolina Elias Maria, Coccuzzo Sampaio Sandra, Nanev Slavov Svetoslav, Strazza Rodrigues Evandra, Vieira Santos Elaine, Tadeu Covas Dimas, Kashima Simone, Augusto Brassaloti Ricardo, Petry Bruna, Gaspar Clemente Luan, Lehmann Coutinho Luiz, Akemi Assato Patricia, da Silva da Costa Felipe Allan, Souza-Neto Jayme A, Maria Tommasini Grotto Rejane, Daiana Poleti Mirele, Cristina Chagas Lesbon Jessika, Chicaroni Mattos Elisangela, Fukumasu Heidge, Giovanetti Marta, Carlos Junior Alcantara Luiz, Rahal Paula, Pessoa Araújo João Fernando, Althouse Benjamin M, Vasilakis Nikos, Lacerda Nogueira Maurício
Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil.
Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil.
Res Sq. 2024 Jan 22:rs.3.rs-3788142. doi: 10.21203/rs.3.rs-3788142/v1.
Since 2021, the emergence of variants of concern (VOC) has led Brazil to experience record numbers of in COVID-19 cases and deaths. The expanded spread of the SARS-CoV-2 combined with a low vaccination rate has contributed to the emergence of new mutations that may enhance viral fitness, leading to the persistence of the disease. Due to limitations in the real-time genomic monitoring of new variants in some Brazilian states, we aimed to investigate whether genomic surveillance, coupled with epidemiological data and SARS-CoV-2 variants spatiotemporal spread in a smaller region, can reflect the pandemic progression at a national level. Our findings revealed three SARS-CoV-2 variant replacements from 2021 to early 2022, corresponding to the introduction and increase in the frequency of Gamma, Delta, and Omicron variants, as indicated by peaks of the Effective Reproductive Number (Reff). These distinct clade replacements triggered two waves of COVID-19 cases, influenced by the increasing vaccine uptake over time. Our results indicated that the effectiveness of vaccination in preventing new cases during the Delta and Omicron circulations was six and eleven times higher, respectively, than during the period when Gamma was predominant, and it was highly efficient in reducing the number of deaths. Furthermore, we demonstrated that genomic monitoring at a local level can reflect the national trends in the spread and evolution of SARS-CoV-2.
自2021年以来,值得关注的变异株(VOC)的出现导致巴西的新冠病毒感染病例和死亡人数创下纪录。严重急性呼吸综合征冠状病毒2(SARS-CoV-2)传播范围的扩大,加上疫苗接种率低,促使了可能增强病毒适应性的新突变的出现,导致该疾病持续存在。由于巴西一些州在实时监测新冠病毒新变异株方面存在局限性,我们旨在研究基因组监测与流行病学数据以及SARS-CoV-2变异株在较小区域的时空传播相结合,是否能够反映全国范围内的疫情发展情况。我们的研究结果显示,从2021年到2022年初,出现了三次SARS-CoV-2变异株更替,对应于伽马(Gamma)、德尔塔(Delta)和奥密克戎(Omicron)变异株的引入和频率增加,有效繁殖数(Reff)峰值表明了这一点。这些不同的进化枝更替引发了两波新冠病毒感染病例,这受到随着时间推移疫苗接种率上升的影响。我们的结果表明,在德尔塔和奥密克戎变异株传播期间,疫苗预防新病例的有效性分别比伽马变异株占主导地位时高6倍和11倍,并且在减少死亡人数方面非常有效。此外,我们证明了地方层面的基因组监测能够反映SARS-CoV-2传播和进化的全国趋势。