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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...
Autores principales: | Rahman, Md. Siddikur, Chowdhury, Arman Hossain, Amrin, Miftahuzzannat |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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