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Short-term forecasting of daily COVID-19 cases in Brazil by using the Holts model
Rev. Soc. Bras. Med. Trop ; 53:e20200283-e20200283, 2020.
Article in English | LILACS (Americas) | ID: grc-742513
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.
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Collection: Databases of international organizations Database: LILACS (Americas) Type of study: Experimental Studies / Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Year: 2020 Document Type: Article

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Collection: Databases of international organizations Database: LILACS (Americas) Type of study: Experimental Studies / Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Rev. Soc. Bras. Med. Trop Year: 2020 Document Type: Article