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

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 EW 38-41 a...

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Detalles Bibliográficos
Autores principales: Martinez, Edson Zangiacomi, Passos, Afonso Dinis Costa, Cinto, Antônio Fernando, Escarso, Andreia Cássia, Monteiro, Rosane Aparecida, Silva, Jorgete Maria e, Bellissimo-Rodrigues, Fernando, Aragon, Davi Casale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Medicina Tropical - SBMT 2021
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891562/
https://www.ncbi.nlm.nih.gov/pubmed/33605383
http://dx.doi.org/10.1590/0037-8682-0762-2020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891562/
https://www.ncbi.nlm.nih.gov/pubmed/33605383
http://dx.doi.org/10.1590/0037-8682-0762-2020

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