Unveiling the hidden burden of COVID-19 in Brazil’s obstetric population with severe acute respiratory syndrome: A machine learning model
The number of COVID-19 cases and deaths in the obstetric population were even higher than reported by authorities, indicating a significant impact on the maternal mortality ratio during this period.
Authors
- Tatiana Assunção Zaccara (ORCID: https://orcid.org/0000-0003-1738-1244)
- Rafaela Alkmin da Costa (ORCID: https://orcid.org/0000-0001-8828-6725)
- Agatha Sacramento Rodrigues (ORCID: https://orcid.org/0000-0003-1112-8264)
- Osny Ferreira Júnior (ORCID: https://orcid.org/0000-0002-5813-3127)
- Veridiana Freire Franco (ORCID: https://orcid.org/0000-0002-2150-6612)
- Rossana Pulcineli Vieira Francisco (ORCID: https://orcid.org/0000-0002-9981-8069)
Institutions
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
- Universidade Federal do Espírito Santo (BR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1371/journal.pone.0330375
- Citations
- 1
- Primary Topic
- COVID-19 Impact on Reproduction
- Type
- article
- Field-Weighted Citation Impact
- 2.06
Funders
- Bill and Melinda Gates Foundation
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa e Inovação do Espírito Santo