Source: medRxiv (The Preprint Server For Health Sciences). Unidade: FSP
Subjects: CORONAVIRUS, VIGILÂNCIA EPIDEMIOLÓGICA, REGRESSÃO LINEAR, DIAGNÓSTICO CLÍNICO, PRECISÃO DO TESTE
ABNT
DIAZ-QUIJANO, Fredi Alexander et al. A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil. medRxiv (The Preprint Server For Health Sciences), p. [13], 2020Tradução . . Disponível em: https://doi.org/10.1101/2020.04.05.20047944. Acesso em: 07 set. 2024.APA
Diaz-Quijano, F. A., Silva, J. M. N. da, Ganem, F., Oliveira, S., Vesga-Varela, A. L., & Croda, J. (2020). A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil. medRxiv (The Preprint Server For Health Sciences), [13]. doi:10.1101/2020.04.05.20047944NLM
Diaz-Quijano FA, Silva JMN da, Ganem F, Oliveira S, Vesga-Varela AL, Croda J. A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil [Internet]. medRxiv (The Preprint Server For Health Sciences). 2020 ; [13].[citado 2024 set. 07 ] Available from: https://doi.org/10.1101/2020.04.05.20047944Vancouver
Diaz-Quijano FA, Silva JMN da, Ganem F, Oliveira S, Vesga-Varela AL, Croda J. A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil [Internet]. medRxiv (The Preprint Server For Health Sciences). 2020 ; [13].[citado 2024 set. 07 ] Available from: https://doi.org/10.1101/2020.04.05.20047944