Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh

Accurate predictive time series modelling is important in public health planning and response during the emergence of a novel pandemic. Therefore, the aims of the study are three-fold: (a) to model the overall trend of COVID-19 confirmed cases and deaths in Bangladesh; (b) to generate a short-term f...

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Detalles Bibliográficos
Autores principales: Rahman, Md. Siddikur, Chowdhury, Arman Hossain, Amrin, Miftahuzzannat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021465/
https://www.ncbi.nlm.nih.gov/pubmed/36962227
http://dx.doi.org/10.1371/journal.pgph.0000495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021465/
https://www.ncbi.nlm.nih.gov/pubmed/36962227
http://dx.doi.org/10.1371/journal.pgph.0000495

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