Transmission dynamics of SARS-CoV-2 variants in the Brazilian state of Pará

被引:4
作者
Pinho, Catarina T. [1 ]
Vidal, Amanda F. [2 ]
Rocha, Tatianne Costa Negri [2 ]
Oliveira, Renato R. M. [2 ]
Barros, Maria Clara da Costa [1 ,3 ]
Closset, Laura [1 ]
Azevedo-Pinheiro, Jhully [1 ,3 ]
Braga-da-Silva, Cintia [1 ,3 ]
Silva, Caio Santos [1 ]
Magalhaes, Leandro L. [1 ,3 ]
Pinto, Pablo Diego do Carmo [1 ]
Souza, Giordano Bruno Soares [1 ]
Vieira, Jose Ricardo dos Santos [1 ]
Burbano, Rommel Mario Rodriguez [4 ]
de Sousa, Maisa Silva [5 ]
de Souza, Jorge Estefano Santana [6 ,7 ]
Nunes, Gisele [2 ]
da Silva, Moises Batista [8 ]
da Costa, Patricia Fagundes [8 ]
Salgado, Claudio Guedes [8 ]
Sousa, Rita Catarina Medeiros [9 ]
Degrave, Wim Maurits Sylvain [10 ]
Ribeiro-dos-Santos, Andrea [1 ,3 ]
Oliveira, Guilherme [2 ]
机构
[1] Univ Fed Para, Inst Ciencias Biol, Lab Genet Humana & Med, Belem, PA, Brazil
[2] Inst Tecnol Vale, Belem, PA, Brazil
[3] Univ Estadual Campinas, Inst Biol, Programa Posgrad Genet & Biol Mol Imunol, Campinas, SP, Brazil
[4] Hosp Ophir Loyola, Lab Biol Mol, Belem, PA, Brazil
[5] Fed Univ Para, Nucl Med Trop, Belem, PA, Brazil
[6] Univ Fed Rio Grande do Norte, Programa Posgrad Enfermagem, Natal, RN, Brazil
[7] Univ Fed Rio Grande do Norte, Nucl Multidisciplinar Bioinformat, Natal, RN, Brazil
[8] Univ Fed, Lab Dermatol & Imunol, Inst Ciencias Biol, Marituba, PA, Brazil
[9] Univ Fed Para, Hosp Univ Joao de Barros Barreto, Belem, PA, Brazil
[10] Fundacao Oswaldo Cruz Fiocruz, Lab Genom Func & Bioinformat, Inst Oswaldo Cruz, Rio De Janeiro, RJ, Brazil
关键词
genomic surveillance; Brazil; SARS-CoV-2; COVID-19; Amazon; gamma; COVID-19;
D O I
10.3389/fpubh.2023.1186463
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: After three years since the beginning of the pandemic, the new coronavirus continues to raise several questions regarding its infectious process and host response. Several mutations occurred in different regions of the SARS-CoV-2 genome, such as in the spike gene, causing the emergence of variants of concern and interest (VOCs and VOIs), of which some present higher transmissibility and virulence, especially among patients with previous comorbidities. It is essential to understand its spread dynamics to prevent and control new biological threats that may occur in the future. In this population_based retrospective observational study, we generated data and used public databases to understand SARS-CoV-2 dynamics.Methods: We sequenced 1,003 SARS-CoV-2 genomes from naso-oropharyngeal swabs and saliva samples from Para from May 2020 to October 2022. To gather epidemiological data from Brazil and the world, we used FIOCRUZ and GISAID databases.Results: Regarding our samples, 496 (49.45%) were derived from female participants and 507 (50.55%) from male participants, and the average age was 43 years old. The Gamma variant presented the highest number of cases, with 290 (28.91%) cases, followed by delta with 53 (5.28%). Moreover, we found seven (0.69%) Omicron cases and 651 (64.9%) non-VOC cases. A significant association was observed between sex and the clinical condition (female, p = 8.65e-08; male, p = 0.008961) and age (p = 3.6e-10).Discussion: Although gamma had been officially identified only in December 2020/January 2021, we identified a gamma case from Belem (capital of Para State) dated May 2020 and three other cases in October 2020. This indicates that this variant was circulating in the North region of Brazil several months before its formal identification and that Gamma demonstrated its actual transmission capacity only at the end of 2020. Furthermore, the public data analysis showed that SARS-CoV-2 dispersion dynamics differed in Brazil as Gamma played an important role here, while most other countries reported a new infection caused by the Delta variant. The genetic and epidemiological information of this study reinforces the relevance of having a robust genomic surveillance service that allows better management of the pandemic and that provides efficient solutions to possible new disease-causing agents.
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