Bayesian Modeling to Project the National and Regional Burden of Rheumatic Heart Disease in Brazil Till 2050
Authors
Department of Medicine, NYC Health & Hospitals/Elmhurst, Icahn School of Medicine at Mount Sinai, Queens
Harrington Heart and Vascular Institute, University Hospitals, Cleveland; Case Western School of Medicine, Case Western Reserve University, Cleveland
Harrington Heart and Vascular Institute, University Hospitals, Cleveland
Department of Medicine, NYC Health & Hospitals/Elmhurst, Icahn School of Medicine at Mount Sinai, Queens
gabriel.tensolrodriguespereira@uhhospitals.org
Harrington Heart and Vascular Institute, University Hospitals, Cleveland
Division of Cardiology, Children’s National Hospital, Washington DC
Department of Internal Medicine, Hospital das Clinicas, Federal University of Minas Gerais, Belo Horizonte
Division of Pediatric Cardiology, Cincinnati Childrens Hospital, University of Cincinnati, Cincinnati
Case Western School of Medicine, Case Western Reserve University, Cleveland; Louis Stokes Cleveland VA Medical Center, Cleveland, USA; School of Health and Wellbeing, University of Glasgow, Glasgow
Departamento de Clínica Médica, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte; Serviço de Hemodinâmica, Hospital Madre Teresa, Belo Horizonte
DOI: https://doi.org/10.5334/gh.1504 | Journal eISSN: 2211-8179
Language: English
Submitted on: Jan 12, 2025
Accepted on: Nov 25, 2025
Published on: Dec 10, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2025 Pedro Rafael Vieira de Oliveira Salerno, Antoinette Cotton, Zhou Chen, Vaibhav Shah, Gabriel Tensol Rodrigues Pereira, Sadeer Al-Kindi, Craig Sable, Antonio Luiz Pinho Ribeiro, Andrea Z. Beaton, Salil V. Deo, Bruno Ramos Nascimento, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.