Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt's model

被引:8
|
作者
Martinez, Edson Zangiacomi [1 ]
Aragon, Davi Casale [1 ]
Nunes, Altacilio Aparecido [1 ]
机构
[1] Univ Sao Paulo, Fac Med Ribeirao Preto, Ribeirao Preto, SP, Brazil
关键词
COVID-19; Coronavirus disease; Forecasting; Statistical models; Epidemiology;
D O I
10.1590/0037-8682-0283-2020
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
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 Sao 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.
引用
收藏
页码:1 / 5
页数:5
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