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DOI do preprint publicado https://doi.org/10.1590/0037-8682-0283-2020
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DOI do preprint publicado https://doi.org/10.1590/0037-8682-0283-2020
Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt’s model
DOI:
https://doi.org/10.1590/0037-8682-0283-2020Palavras-chave:
COVID-19, Coronavirus disease, Forecasting, Statistical models, EpidemiologyResumo
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 shortterm forecasting method if their assumptions are adequately verified and validated by experts.
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Postado
29/05/2020
Como Citar
Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt’s model. (2020). Em SciELO Preprints. https://doi.org/10.1590/0037-8682-0283-2020
Série
Ciências da Saúde
Copyright (c) 2020 Edson Zangiacomi Martinez, Davi Casale Aragon, Altacílio Aparecido Nunes
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
