Estimating underdiagnosis of COVID-19 with nowcasting and machine learning

Estimating underdiagnosis of COVID-19 with nowcasting and machine learning

ABSTRACT: Objective: To analyze the underdiagnosis of COVID-19 through nowcasting with machine learning in a Southern Brazilian capital city. Methods: Observational ecological design and data from 3916 notified cases of COVID-19 from April 14th to June 2nd, 2020 in Florianópolis, Brazil. A machine...

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Bibliographic Details
Main Authors: Leandro Pereira Garcia, André Vinícius Gonçalves, Matheus Pacheco Andrade, Lucas Alexandre Pedebôs, Ana Cristina Vidor, Roberto Zaina, Ana Luiza Curi Hallal, Graziela de Luca Canto, Jefferson Traebert, Gustavo Medeiros de Araújo, Fernanda Vargas Amaral
Format: Article
Language:English
Published: Associação Brasileira de Pós-Graduação em Saúde Coletiva 2021-10-01
Series:Revista Brasileira de Epidemiologia
Subjects:
COVID-19
Underregistration
Nowcast
Machine learning
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2021000100210&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2021000100210&tlng=en

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