COVID-19 clinical predictors in patients treated via a telemedicine platform in 2022

This research was funded by the Coordination for the Improvement of Higher Education Personnel, Brazil (CAPES), Financing Code 001, with support from the Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), Notice No. 25/2021/Post-Doctorate Grade 10 2021 (Proc...

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Detalles Bibliográficos
Autores: Oliveira, Liliane de Fátima Antonio, Paes, Lúcia Regina do Nascimento Brahim, Ferreira, Luiz Claudio, Souza, Gabriel Garcez de Araújo, Weigert, Guilherme de Souza, Almeida, Layla Lorena Bezerra de, Hamada, Rafael Kenji Fonseca, Sousa, Lyz Tavares de, Marcelino, Andreza Pain, Valete, Cláudia Maria
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Brasil
Institución:Fundação Oswaldo Cruz (FIOCRUZ)
Repositorio:Repositório Institucional da FIOCRUZ (ARCA)
Idioma:inglés
OAI Identifier:oai:arca.fiocruz.br:icict/72215
Acceso en línea:https://arca.fiocruz.br/handle/icict/72215
Access Level:acceso abierto
Palabra clave:COVID-19
SARSCoV-2 virus
Telemedicine
Descripción
Sumario:This research was funded by the Coordination for the Improvement of Higher Education Personnel, Brazil (CAPES), Financing Code 001, with support from the Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), Notice No. 25/2021/Post-Doctorate Grade 10 2021 (Process: 75635131) and support from the Evandro Chagas National Institute of Infectology — Oswaldo Cruz Foundation.

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