Spatiotemporal transmission of SARS-CoV-2 lineages during 2020-2021 in Pernambuco-Brazil

被引:1
作者
Machado, Lais Ceschini [1 ]
Dezordi, Filipe Zimmer [1 ,2 ]
de Lima, Gustavo Barbosa [3 ]
de Lima, Raul Emidio [3 ]
Silva, Lilian Caroliny Amorim [3 ]
Pereira, Leandro de Mattos [2 ]
da Silva, Alexandre Freitas [1 ,2 ]
Neto, Antonio Marinho da Silva [2 ]
Oliveira, Andre Luiz Sa de [4 ]
Armstrong, Anderson da Costa [5 ]
Pessoa-e-Silva, Romulo [6 ]
Loyo, Rodrigo Moraes [7 ]
Silva, Barbara de Oliveira [6 ]
de Almeida, Anderson Rodrigues [6 ]
Pitta, Maira Galdino da Rocha [6 ]
Santos, Francisco de Assis da Silva [8 ]
Siqueira, Marilda Mendonca [9 ]
Resende, Paola Cristina [9 ]
Delatorre, Edson [10 ]
Naveca, Felipe Gomes [11 ]
Miyajima, Fabio [12 ]
Graef, Tiago [13 ]
do Carmo, Rodrigo Feliciano [14 ]
Pereira, Michelly Cristiny [6 ]
Campos, Tulio de Lima [2 ]
Bezerra, Matheus Filgueira [15 ]
Paiva, Marcelo Henrique Santos [1 ,8 ]
Wallau, Gabriel da Luz [1 ,2 ,16 ]
机构
[1] Fundacao Oswaldo Cruz FIOCRUZ, Dept Entomol, Inst Aggeu Magalhaes IAM, Recife, PE, Brazil
[2] FIOCRUZ Pernambuco, Inst Aggeu Magalhaes IAM, Nucleo Bioinformat NBI, Recife, PE, Brazil
[3] FIOCRUZ Pernambuco, Inst Aggeu Magalhaes IAM, Nucleo Plataformas Tecnol NPT, Recife, PE, Brazil
[4] Fundacao Oswaldo Cruz Pernambuco FIOCRUZ PE, Nucleo Estat & Geoproc, Inst Aggeu Magalhaes IAM, Recife, Brazil
[5] Univ Fed Vale Sao Francisco, Colegiado Med, Petrolina, Brazil
[6] Fed Univ Pernambuco UFPE, Suely Galdino Therapeut Innovat Res Ctr NUPIT SG, Recife, PE, Brazil
[7] Inst Aggeu Magalhaes IAM, Dept Parasitol, FIOCRUZ Pernambuco, Recife, PE, Brazil
[8] Univ Fed Pernambuco UFPE, Ctr Acad Agreste, Nucleo Ciencias Vida, Caruaru, PE, Brazil
[9] Fiocruz MS, Inst Oswaldo Cruz, Lab Resp Viruses & Measles LVRS, Rio De Janeiro, Brazil
[10] Univ Fed Espirito Santo, Ctr Ciencias Exatas Nat & Saude, Dept Biol, Alegre, ES, Brazil
[11] Inst Leonidas & Maria Deane, Lab Ecol Doencas Transmissiveis Amazonia EDTA, FIOCRUZ Amazonas, Manaus, AM, Brazil
[12] Analyt Competence Mol Epidemiol Lab ACME, FIOCRUZ Ceara, Fortaleza, CE, Brazil
[13] Fundacao Oswaldo Cruz FIOCRUZ, Lab Virol Mol, Inst Carlos Chagas, Curitiba, Brazil
[14] Univ Fed Vale Sao Francisco, Colegiado Ciencias Farmaceut, Petrolina, Brazil
[15] FIOCRUZ Pernambuco, Dept Microbiol, Inst Aggeu Magalhaes IAM, Recife, PE, Brazil
[16] Natl Reference Ctr Trop Infect Dis, WHO Collaborating Ctr Arbovirus & Hemorrhag Fever, Bernhard Nocht Inst Trop Med, Dept Arbovirol, Hamburg, Germany
来源
MICROBIOLOGY SPECTRUM | 2024年 / 12卷 / 06期
关键词
genomic surveillance; COVID-19; lineage replacement; state level; SELECTION;
D O I
10.1128/spectrum.04218-23
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
SARS-CoV-2 virus emerged as a new threat to humans and spread around the world, leaving a large death toll. As of January 2023, Brazil is among the countries with the highest number of registered deaths. Nonpharmacological and pharmacological interventions have been heterogeneously implemented in the country, which, associated with large socioeconomic differences between the country regions, has led to distinct virus spread dynamics. Here, we investigate the spatiotemporal dispersion of SARS-CoV-2 lineages in the Pernambuco state (Northeast Brazil) throughout the distinct epidemiological scenarios that unfolded in the first 2 years of the pandemic. We generated a total of 1,389 new SARS-CoV-2 genomes from June 2020 to August 2021. This sampling captured the arrival, communitary transmission, and the circulation of the B1.1, B.1.1.28, and B.1.1.33 lineages; the emergence of the former variant of interest P.2; and the emergence and fast replacement of all previous variants by the more transmissible variant of concern P.1 (Gamma). Based on the incidence and lineage spread pattern, we observed an East-to-West to inner state pattern of transmission, which is in agreement with the transmission of more populous metropolitan areas to medium- and small-size country-side cities in the state. Such transmission patterns may be partially explained by the main routes of traffic across municipalities in the state. Our results highlight that the fine-grained intrastate analysis of lineages and incidence spread can provide actionable insights for planning future nonpharmacological intervention for air-borne transmissible human pathogens. IMPORTANCE During the COVID-19 pandemic, Brazil was one of the most affected countries, mainly due its continental-size, socioeconomic differences among regions, and heterogeneous implementation of intervention methods. In order to investigate SARS-CoV-2 dynamics in the state of Pernambuco, we conducted a spatiotemporal dispersion study, covering the period from June 2020 to August 2021, to comprehend the dynamics of viral transmission during the first 2 years of the pandemic. Throughout this study, we were able to track three significant epidemiological waves of transmission caused by B1.1, B.1.1.28, B.1.1.33, P.2, and P.1 lineages. These analyses provided valuable insights into the evolution of the epidemiological landscape, contributing to a deeper understanding of the dynamics of virus transmission during the early years of the pandemic in the state of Pernambuco. During the COVID-19 pandemic, Brazil was one of the most affected countries, mainly due its continental-size, socioeconomic differences among regions, and heterogeneous implementation of intervention methods. In order to investigate SARS-CoV-2 dynamics in the state of Pernambuco, we conducted a spatiotemporal dispersion study, covering the period from June 2020 to August 2021, to comprehend the dynamics of viral transmission during the first 2 years of the pandemic. Throughout this study, we were able to track three significant epidemiological waves of transmission caused by B1.1, B.1.1.28, B.1.1.33, P.2, and P.1 lineages. These analyses provided valuable insights into the evolution of the epidemiological landscape, contributing to a deeper understanding of the dynamics of virus transmission during the early years of the pandemic in the state of Pernambuco.
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页数:16
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