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Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt's model.
Martinez, Edson Zangiacomi; Aragon, Davi Casale; Nunes, Altacílio Aparecido.
  • Martinez EZ; Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil.
  • Aragon DC; Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil.
  • Nunes AA; Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil.
Rev Soc Bras Med Trop ; 53: e20200283, 2020.
Article in English | MEDLINE | ID: covidwho-593737
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 Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections / Pandemics / Forecasting / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev Soc Bras Med Trop Year: 2020 Document Type: Article Affiliation country: 0037-8682-0283-2020

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections / Pandemics / Forecasting / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev Soc Bras Med Trop Year: 2020 Document Type: Article Affiliation country: 0037-8682-0283-2020