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

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

Show other versions (1)

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...

Full description

Bibliographic Details
Main Authors: Md Siddikur Rahman, Arman Hossain Chowdhury, Miftahuzzannat Amrin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLOS Global Public Health
Online Access:https://doi.org/10.1371/journal.pgph.0000495

Similar Items

Similar Items