Prediction of SARS-CoV-2 infection with a Symptoms-Based model to aid public health decision making in Latin America and other low and middle income settings

Symptoms-based models for predicting SARS-CoV-2 infection may improve clinical decision-making and be an alternative to resource allocation in under-resourced settings. In this study we aimed to test a model based on symptoms to predict a positive test result for SARS-CoV-2 infection during the COVI...

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Detalles Bibliográficos
Autores principales: Ramírez Varela, Andrea, Moreno López, Sergio, Contreras-Arrieta, Sandra, Tamayo-Cabeza, Guillermo, Restrepo-Restrepo, Silvia, Sarmiento-Barbieri, Ignacio, Caballero-Díaz, Yuldor, Jorge Hernandez-Florez, Luis, Mario González, John, Salas-Zapata, Leonardo, Laajaj, Rachid, Buitrago-Gutierrez, Giancarlo, de la Hoz-Restrepo, Fernando, Vives Florez, Martha, Osorio, Elkin, Sofía Ríos-Oliveros, Diana, Behrentz, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020649/
https://www.ncbi.nlm.nih.gov/pubmed/35469291
http://dx.doi.org/10.1016/j.pmedr.2022.101798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020649/
https://www.ncbi.nlm.nih.gov/pubmed/35469291
http://dx.doi.org/10.1016/j.pmedr.2022.101798

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