Author: Fredi A Diaz-Quijano; Jose Mario Nunes da Silva; Fabiana Ganem; Silvano Oliveira; Andrea Liliana Vesga-Varela; Julio Croda
Title: A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil. Document date: 2020_4_8
ID: 3dzv20b7_18
Snippet: The states of SP and RJ jointly had 683 confirmed COVID-19 cases and 864 with OI, of which 541 and 702 were included in the modeling dataset, respectively. During the modeling, patients with liver disease (n = 4) and those who reported not having had contact with a suspected case (n = 69) were not considered, as these categories perfectly predicted absence of COVID-19 and were significantly more frequent in the OI group (Table 1) ......
Document: The states of SP and RJ jointly had 683 confirmed COVID-19 cases and 864 with OI, of which 541 and 702 were included in the modeling dataset, respectively. During the modeling, patients with liver disease (n = 4) and those who reported not having had contact with a suspected case (n = 69) were not considered, as these categories perfectly predicted absence of COVID-19 and were significantly more frequent in the OI group (Table 1) .
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