Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/60394
Tipo: Artigo de Periódico
Título: Seroprevalence, Prevalence, and Genomic Surveillance: Monitoring the Initial Phases of the SARS-CoV-2 Pandemic in Betim, Brazil
Autor(es): Ana Valesca Fernandes Gilsonsilva
Adriano Neves Coelho
Júlia Maria Saraiva Duarte
Augusto Viana da Rocha
Luiz Gonzaga Paula de Almeida
João Locke Ferreira de Araújo
Hilton Soares de Oliveira
Nova Jersey Cláudio de Oliveira
Camila Zolini
Jôsy Hubner de Sousa
Elizângela Gonçalves de Souza
Diego Menezes
Rafael Marques de Souza
Luciana de Lima Ferreira
Alexandra Lehmkuhl Gerber
Ana Paula de Campos Guimarães
Paulo Henrique Silva Maia
Fernanda Martins Marim
Lucyene Miguita
Cristiane Campos Monteiro
Tuffi Saliba Neto
Fabrícia Soares Freire Pugêdo
Filipe Romero Rebello Moreira
Daniel Costa Queiroz
Damares Nigia Alborguetti Cuzzuol Queiroz
Luciana Cunha Resende-Moreira
Franciele Martins Santos
Erika Fernanda Carlos Souza
Carolina Moreira Voloch
Ana Tereza Vasconcelos
Renato Santana de Aguiar
Renan Pedra de Souza
Octávio Alcântara Torres
Paula Luize Camargos Fonseca
Rennan Garcias Moreira
Hugo José Alves
Vivian Ribeiro Alves
Tânia Maria de Resende Amaral
Resumo: The COVID-19 pandemic has created an unprecedented need for epidemiological monitoring using diverse strategies. We conducted a project combining prevalence, seroprevalence, and genomic surveillance approaches to describe the initial pandemic stages in Betim City, Brazil. We collected 3239 subjects in a population-based age-, sex- and neighborhood-stratified, household, prospective; cross-sectional study divided into three surveys 21 days apart sampling the same geographical area. In the first survey, overall prevalence (participants positive in serological or molecular tests) reached 0.46% (90% CI 0.12–0.80%), followed by 2.69% (90% CI 1.88–3.49%) in the second survey and 6.67% (90% CI 5.42–7.92%) in the third. The underreporting reached 11, 19.6, and 20.4 times in each survey. We observed increased odds to test positive in females compared to males (OR 1.88 95% CI 1.25–2.82), while the single best predictor for positivity was ageusia/anosmia (OR 8.12, 95% CI 4.72–13.98). Thirty-five SARS-CoV-2 genomes were sequenced, of which 18 were classified as lineage B.1.1.28, while 17 were B.1.1.33. Multiple independent viral introductions were observed. Integration of multiple epidemiological strategies was able to adequately describe COVID-19 dispersion in the city. Presented results have helped local government authorities to guide pandemic management.
Assunto: COVID-19
SARS-CoV-2
Genomas
Pandemia
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Instituição: UFMG
Departamento: ICB - DEPARTAMENTO DE BOTÂNICA
ICB - INSTITUTO DE CIÊNCIAS BIOLOGICAS
Tipo de Acesso: Acesso Aberto
Identificador DOI: https://doi.org/10.3389/fmicb.2022.799713
URI: http://hdl.handle.net/1843/60394
Data do documento: 2022
metadata.dc.url.externa: https://www.frontiersin.org/articles/10.3389/fmicb.2022.799713/full
metadata.dc.relation.ispartof: Frontiers in Microbiology
Aparece nas coleções:Artigo de Periódico



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