COVID-19: Adaptation of a model to predicting healthcare resources needs in Valle del Cauca, Colombia

BACKGROUND: Valle del Cauca is the region with the fourth-highest number of COVID-19 cases in Colombia (>50,000 on September 7, 2020). Due to the lack of anti-COVID-19 therapies, decision-makers require timely and accurate data to estimate the incidence of disease and the availability of hospital...

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Detalles Bibliográficos
Autores principales: Iragorri, Nicolas, Gómez-Restrepo, Carlos, Barrett, Kali, Herrera, Socrates, Hurtado, Isabel, Khan, Yasin, Mac, Stephen, Naimark, David, Pechlivanoglou, Petros, Rosselli, Diego, Toro, Dilian, Villamizar, Pedro, Ximenes, Raphael, Zapata, Helmer, Sander, Beate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universidad del Valle 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744107/
https://www.ncbi.nlm.nih.gov/pubmed/33402754
http://dx.doi.org/10.25100/cm.v51i3.4534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744107/
https://www.ncbi.nlm.nih.gov/pubmed/33402754
http://dx.doi.org/10.25100/cm.v51i3.4534

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