A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil.

Fredi Alexander Diaz-Quijano José M N da Silva Fabiana Sherine Ganem Dos Santos Silvano Barbosa de Oliveira Andrea Liliana Vesga-Varela Julio Henrique da Rosa Croda

Published in: Tropical medicine & international health : TM & IH (2020)

We obtained a model suitable for the clinical diagnosis of COVID-19 based on routinely collected surveillance data. Applications of this tool include early identification for specific treatment and isolation, rational use of laboratory tests, and input for modelling epidemiological trends.

Keyphrases

public health
electronic health record
coronavirus disease
sars cov
big data
respiratory syndrome coronavirus
data analysis
machine learning
smoking cessation
replacement therapy