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Short-term forecasting of daily COVID-19 cases in Brazil by using the Holts model
Martinez, Edson Zangiacomi; Aragon, Davi Casale; Nunes, Altacílio Aparecido.
  • Martinez, Edson Zangiacomi; Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Ribeirão Preto. BR
  • Aragon, Davi Casale; Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Ribeirão Preto. BR
  • Nunes, Altacílio Aparecido; Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Ribeirão Preto. BR
Rev. Soc. Bras. Med. Trop ; 53: e20200283, 2020. tab, graf
Article in English | SES-SP, ColecionaSUS, LILACS | ID: biblio-1136844
ABSTRACT
Abstract

INTRODUCTION:

We evaluated the performance of the Holt's model to forecast the daily COVID-19 reported cases in Brazil and three Brazilian states.

METHODS:

We chose the date of the first COVID-19 case to April 25, 2020, as the training period, and April 26 to May 3, 2020, as the test period.

RESULTS:

The Holt's model performed well in forecasting the cases in Brazil and in São Paulo and Minas Gerais states, but the forecasts were underestimated in Rio de Janeiro state.

Conclusions:

The Holt's model can be an adequate short-term forecasting method if their assumptions are adequately verified and validated by experts.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections / Pandemics / Forecasting / Betacoronavirus Type of study: Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Year: 2020 Type: Article Institution/Affiliation country: Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections / Pandemics / Forecasting / Betacoronavirus Type of study: Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Year: 2020 Type: Article Institution/Affiliation country: Universidade de São Paulo/BR