Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Castro, Thaís Regina y
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
dARK ID: ark:/26339/001300001c5r8
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Brasil
Farmácia
UFSM
Programa de Pós-Graduação em Ciências Farmacêuticas
Centro de Ciências da Saúde
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufsm.br/handle/1/33042
Resumo: In January 2020, a new species of coronavirus was described, SARS-CoV-2, attributed to cases of pneumonia reported in Wuhan, China, at the end of 2019. The pathogen spread, leading to the World Health Organization Health (WHO) declaring a pandemic in March, 2020. After the first wave, caused by the wild-type of the virus, the emergence of variants was observed, highlighting the variants of concern (VOCs) Alpha, Beta, Gamma, Delta and Omicron. One of the main obstacles that Brazil faced during the pandemic can be attributed to the continental dimensions of its territory. In Rio Grande do Sul (RS), testing measures were implemented to identify cases of SARS-CoV-2 infection and strategies for carrying out genomic surveillance of the virus. Genomic surveillance can provide insights into pathogens, their evolution and circulation. The objective of this work was to carry out genomic surveillance of SARS-CoV-2 variants in RS. To achieve this, positive samples were sequenced locally, from June 2021 to October 2023 and compiled with genetic sequences available on GISAID. Bioinformatic analysis was performed to genome assembly, identify lineages, polymorphism, spatio-temporal and phylogenetic analysis. The number of cases and deaths from COVID-19, sample collection date, sex, age, location and vaccination status data were obtained from government databases. In total, 1455 samples were sequenced and 4775 genomes were obtained from GISAID. In June 2021, after a period of the Gamma variant predominance, the introduction of the Delta variant was identified in RS, in a tourist region. In October, the variant already accounted for more than 70% of infections. The number of confirmed cases and deaths remained stable during the Delta introduction period and it is estimated that 40% of the population had already received at least one dose of the vaccine. By examining the genetic sequences of the variant, 45 mutations were identified, including three additional ones, I1091V and T4087I (ORF1a), and A23V (ORF3a). The substitution rate was estimated at 5.43x10−4 substitutions/site/year. The Omicron variant was identified in the state in October 2021 and became predominant in the first week of 2022. There was a 46-fold increase in the number of cases and 9.2-fold in deaths. Proportionally to the number of cases, the Delta variant had a higher lethality (2.7%) than the Ômicron (0.3%). During this period, it is estimated that 67% of the RS population received one dose of the vaccine. In total, the circulation of 163 Omicron lineages were detected in the state. Among individuals infected with this variant, 35.6% were vaccinated with at least three doses, while those who were not vaccinated comprised 3.9% of the total. Most cases of SARS-CoV-2 infection occurred in females and individuals over the age of 43. The results obtained reinforce the complex interaction between viral evolution, demographic factors, vaccination strategies and the dynamics of virus transmission, highlighting the importance of ongoing genomic surveillance, vaccination efforts, and public health measures for effective control of COVID19.
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spelling Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, BrasilGenomic surveillance of SARS-CoV-2 in Rio Grande do Sul state, BrazilCoronavírusCovid-19PandemiaInfecçãoEpidemiologiaPandemicInfectionEpidemiologyCNPQ::CIENCIAS DA SAUDE::FARMACIAIn January 2020, a new species of coronavirus was described, SARS-CoV-2, attributed to cases of pneumonia reported in Wuhan, China, at the end of 2019. The pathogen spread, leading to the World Health Organization Health (WHO) declaring a pandemic in March, 2020. After the first wave, caused by the wild-type of the virus, the emergence of variants was observed, highlighting the variants of concern (VOCs) Alpha, Beta, Gamma, Delta and Omicron. One of the main obstacles that Brazil faced during the pandemic can be attributed to the continental dimensions of its territory. In Rio Grande do Sul (RS), testing measures were implemented to identify cases of SARS-CoV-2 infection and strategies for carrying out genomic surveillance of the virus. Genomic surveillance can provide insights into pathogens, their evolution and circulation. The objective of this work was to carry out genomic surveillance of SARS-CoV-2 variants in RS. To achieve this, positive samples were sequenced locally, from June 2021 to October 2023 and compiled with genetic sequences available on GISAID. Bioinformatic analysis was performed to genome assembly, identify lineages, polymorphism, spatio-temporal and phylogenetic analysis. The number of cases and deaths from COVID-19, sample collection date, sex, age, location and vaccination status data were obtained from government databases. In total, 1455 samples were sequenced and 4775 genomes were obtained from GISAID. In June 2021, after a period of the Gamma variant predominance, the introduction of the Delta variant was identified in RS, in a tourist region. In October, the variant already accounted for more than 70% of infections. The number of confirmed cases and deaths remained stable during the Delta introduction period and it is estimated that 40% of the population had already received at least one dose of the vaccine. By examining the genetic sequences of the variant, 45 mutations were identified, including three additional ones, I1091V and T4087I (ORF1a), and A23V (ORF3a). The substitution rate was estimated at 5.43x10−4 substitutions/site/year. The Omicron variant was identified in the state in October 2021 and became predominant in the first week of 2022. There was a 46-fold increase in the number of cases and 9.2-fold in deaths. Proportionally to the number of cases, the Delta variant had a higher lethality (2.7%) than the Ômicron (0.3%). During this period, it is estimated that 67% of the RS population received one dose of the vaccine. In total, the circulation of 163 Omicron lineages were detected in the state. Among individuals infected with this variant, 35.6% were vaccinated with at least three doses, while those who were not vaccinated comprised 3.9% of the total. Most cases of SARS-CoV-2 infection occurred in females and individuals over the age of 43. The results obtained reinforce the complex interaction between viral evolution, demographic factors, vaccination strategies and the dynamics of virus transmission, highlighting the importance of ongoing genomic surveillance, vaccination efforts, and public health measures for effective control of COVID19.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESEm janeiro de 2020 uma nova espécie de coronavírus foi descrita, SARS-CoV-2, atribuída a casos de pneumonia reportados em Wuhan, na China, ao final de 2019. O patógeno se disseminou, levando a declaração de pandemia pela Organização Mundial da Saúde (OMS) em março de 2020. Após a primeira onda, causada pela cepa selvagem do vírus, observou-se a emergência de variantes, ressaltando-se as variantes de preocupação (VOCs) Alfa, Beta, Gama, Delta e Ômicron. Um dos principais obstáculos que o Brasil enfrentou durante a pandemia pode ser atribuído às dimensões continentais de seu território. No do Rio Grande do Sul (RS) foram implementadas medidas de testagem para identificação de casos de infecção por SARS-CoV-2 e estratégias para realização de vigilância genômica do vírus. A vigilância genômica pode proporcionar uma melhor compreensão sobre patógenos, sua evolução e circulação. O objetivo deste trabalho foi realizar a vigilância genômica de variantes de SARS-CoV-2 no RS. Para isso, amostras positivas para o vírus foram sequenciadas localmente, de junho de 2021 a outubro de 2023 e compiladas com sequências genéticas disponíveis no GISAID. Foram realizadas análises bioinformáticas para montagem dos genomas, identificação das linhagens, análises de polimorfismos, espaço-temporais e filogenéticas. O número de casos e óbitos por COVID-19, data de coleta das amostras, sexo, idade, localidade e situação vacinal foram obtidos em bases de dados governamentais. Ao todo, 1455 amostras foram sequenciadas e 4775 genomas foram obtidos no GISAID. Em junho de 2021, após um período de predominância da variante Gama, foi identificada a introdução da variante Delta no RS, em uma região turística. Em outubro a variante já correspondia a mais de 70% das infecções. O número de casos confirmados e óbitos permaneceu estável no período de introdução da Delta e estima-se que 40% da população já havia recebido ao menos uma dose da vacina. Ao examinar as sequências genéticas da variante, foram identificas 45 mutações, incluindo três adicionais, I1091V e T4087I (ORF1a) e A23V (ORF3a). A taxa de substituição foi estimada em 5.43x10−4 substituições/sítio/ano. A variante Ômicron foi identificada no estado em outubro de 2021 e se tornou predominante na primeira semana de 2022. Houve um aumento de 46 vezes no número de casos e 9,2 vezes nos óbitos. Proporcionalmente ao número de casos, a variante Delta teve maior letalidade (2,7%) que a Ômicron (0,3%). Neste período, estima-se que 67% da população do RS tenha recebido uma dose da vacina. Ao todo, foi detectada a circulação de 163 linhagens de Ômicron no estado. Entre os indivíduos infectados por essa variante, a maioria estava vacinada com pelo menos três doses (35,6%), enquanto os não vacinados compreenderam 3,9% do total. A maioria dos casos de infecções por SARS-CoV-2 ocorreram em indivíduos do sexo feminino e maiores de 43 anos. Os resultados obtidos reforçam a complexa interação entre a evolução viral, fatores demográficos, estratégias de vacinação e a dinâmica da transmissão do vírus, destacando a importância da vigilância genômica contínua, dos esforços de vacinação e das medidas de saúde pública para o controle eficaz da COVID-19.Universidade Federal de Santa MariaBrasilFarmáciaUFSMPrograma de Pós-Graduação em Ciências FarmacêuticasCentro de Ciências da SaúdeTrindade, Priscila de Arrudahttp://lattes.cnpq.br/0124362929241308Nogueira , Mauricio LacerdaPillat, Micheli MainardiFlores , Eduardo FurtadoSpilki, Fernando RosadoCastro, Thaís Regina y2024-09-17T19:08:59Z2024-09-17T19:08:59Z2024-03-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/33042ark:/26339/001300001c5r8porAttribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2024-09-17T19:09:00Zoai:repositorio.ufsm.br:1/33042Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/PUBhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.bropendoar:2024-09-17T19:09Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
Genomic surveillance of SARS-CoV-2 in Rio Grande do Sul state, Brazil
title Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
spellingShingle Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
Castro, Thaís Regina y
Coronavírus
Covid-19
Pandemia
Infecção
Epidemiologia
Pandemic
Infection
Epidemiology
CNPQ::CIENCIAS DA SAUDE::FARMACIA
title_short Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
title_full Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
title_fullStr Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
title_full_unstemmed Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
title_sort Vigilância genômica de SARS-CoV-2 no estado do Rio Grande do Sul, Brasil
author Castro, Thaís Regina y
author_facet Castro, Thaís Regina y
author_role author
dc.contributor.none.fl_str_mv Trindade, Priscila de Arruda
http://lattes.cnpq.br/0124362929241308
Nogueira , Mauricio Lacerda
Pillat, Micheli Mainardi
Flores , Eduardo Furtado
Spilki, Fernando Rosado
dc.contributor.author.fl_str_mv Castro, Thaís Regina y
dc.subject.por.fl_str_mv Coronavírus
Covid-19
Pandemia
Infecção
Epidemiologia
Pandemic
Infection
Epidemiology
CNPQ::CIENCIAS DA SAUDE::FARMACIA
topic Coronavírus
Covid-19
Pandemia
Infecção
Epidemiologia
Pandemic
Infection
Epidemiology
CNPQ::CIENCIAS DA SAUDE::FARMACIA
description In January 2020, a new species of coronavirus was described, SARS-CoV-2, attributed to cases of pneumonia reported in Wuhan, China, at the end of 2019. The pathogen spread, leading to the World Health Organization Health (WHO) declaring a pandemic in March, 2020. After the first wave, caused by the wild-type of the virus, the emergence of variants was observed, highlighting the variants of concern (VOCs) Alpha, Beta, Gamma, Delta and Omicron. One of the main obstacles that Brazil faced during the pandemic can be attributed to the continental dimensions of its territory. In Rio Grande do Sul (RS), testing measures were implemented to identify cases of SARS-CoV-2 infection and strategies for carrying out genomic surveillance of the virus. Genomic surveillance can provide insights into pathogens, their evolution and circulation. The objective of this work was to carry out genomic surveillance of SARS-CoV-2 variants in RS. To achieve this, positive samples were sequenced locally, from June 2021 to October 2023 and compiled with genetic sequences available on GISAID. Bioinformatic analysis was performed to genome assembly, identify lineages, polymorphism, spatio-temporal and phylogenetic analysis. The number of cases and deaths from COVID-19, sample collection date, sex, age, location and vaccination status data were obtained from government databases. In total, 1455 samples were sequenced and 4775 genomes were obtained from GISAID. In June 2021, after a period of the Gamma variant predominance, the introduction of the Delta variant was identified in RS, in a tourist region. In October, the variant already accounted for more than 70% of infections. The number of confirmed cases and deaths remained stable during the Delta introduction period and it is estimated that 40% of the population had already received at least one dose of the vaccine. By examining the genetic sequences of the variant, 45 mutations were identified, including three additional ones, I1091V and T4087I (ORF1a), and A23V (ORF3a). The substitution rate was estimated at 5.43x10−4 substitutions/site/year. The Omicron variant was identified in the state in October 2021 and became predominant in the first week of 2022. There was a 46-fold increase in the number of cases and 9.2-fold in deaths. Proportionally to the number of cases, the Delta variant had a higher lethality (2.7%) than the Ômicron (0.3%). During this period, it is estimated that 67% of the RS population received one dose of the vaccine. In total, the circulation of 163 Omicron lineages were detected in the state. Among individuals infected with this variant, 35.6% were vaccinated with at least three doses, while those who were not vaccinated comprised 3.9% of the total. Most cases of SARS-CoV-2 infection occurred in females and individuals over the age of 43. The results obtained reinforce the complex interaction between viral evolution, demographic factors, vaccination strategies and the dynamics of virus transmission, highlighting the importance of ongoing genomic surveillance, vaccination efforts, and public health measures for effective control of COVID19.
publishDate 2024
dc.date.none.fl_str_mv 2024-09-17T19:08:59Z
2024-09-17T19:08:59Z
2024-03-26
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url http://repositorio.ufsm.br/handle/1/33042
identifier_str_mv ark:/26339/001300001c5r8
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language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Farmácia
UFSM
Programa de Pós-Graduação em Ciências Farmacêuticas
Centro de Ciências da Saúde
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Farmácia
UFSM
Programa de Pós-Graduação em Ciências Farmacêuticas
Centro de Ciências da Saúde
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
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institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.br
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