Feasibility of very short-term forecast models for COVID-19 hospital-based surveillance

Feasibility of very short-term forecast models for COVID-19 hospital-based surveillance

Abstract INTRODUCTION: We evaluated the performance of Bayesian vector autoregressive (BVAR) and Holt’s models to forecast the weekly COVID-19 reported cases in six units of a large hospital. METHODS: Cases reported from epidemiologic weeks (EW) 12-37 were selected as the training period, and from...

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Bibliographic Details
Main Authors: Edson Zangiacomi Martinez, Afonso Dinis Costa Passos, Antônio Fernando Cinto, Andreia Cássia Escarso, Rosane Aparecida Monteiro, Jorgete Maria e Silva, Fernando Bellissimo-Rodrigues, Davi Casale Aragon
Format: Article
Language:English
Published: Sociedade Brasileira de Medicina Tropical (SBMT) 2021-02-01
Series:Revista da Sociedade Brasileira de Medicina Tropical
Subjects:
COVID-19
Coronavirus disease
Forecasting
Statistical models
Epidemiology
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100616&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100616&tlng=en

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