Yellow Fever Vaccine Demand Forecasting With ARIMA, SARIMA, Linear Regression, and XGBoost

The demand for vaccines is significantly increasing in various countries due to heightened population mobility and the prevalence of epidemics. This study employed machine learning methods to predict optimal vaccine stock levels, aiming to prevent both shortages and oversupply, and to compare the ef...

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Bibliografiske detaljer

Principais autores:	N. Sen, L. O. Temur, D. C. Atilla
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Yellow fever machine learning ensemble technique ARIMA SARIMA linear regression
Online adgang:	https://ieeexplore.ieee.org/document/10802874/
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