학술논문
Seroprevalence, Prevalence, and Genomic Surveillance: Monitoring the Initial Phases of the SARS-CoV-2 Pandemic in Betim, Brazil
Document Type
article
Author
Ana Valesca Fernandes Gilson Silva; Diego Menezes; Filipe Romero Rebello Moreira; Octávio Alcântara Torres; Paula Luize Camargos Fonseca; Rennan Garcias Moreira; Hugo José Alves; Vivian Ribeiro Alves; Tânia Maria de Resende Amaral; 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; 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; 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
Source
Frontiers in Microbiology, Vol 13 (2022)
Subject
Language
English
ISSN
1664-302X
Abstract
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.