Statistical and Machine Learning Methods for Vaccine Demand Forecasting: A Comparative Analysis

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ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Statistical and Machine Learning Methods for Vaccine Demand Forecasting: A Comparative Analysis"
written by Rachel T. Alegado, Gilbert M. Tumibay,
published by Journal of Computer and Communications, Vol.8 No.10, 2020

has been cited by the following article(s):

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[3]	Forecasting the Anti-Rabies Vaccine Demand at Jawaharlal Medical College and Hospital, Ajmer, Rajasthan: A Comparative Analysis based on Time Series Model.
	Indian Journal of …, 2021

[4]	Forecasting non-linear WPI of manufacture of chemicals and chemical products in India: an MLP approach
	International Journal of Advanced …, 2021

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[1]	Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands IEEE Transactions on Evolutionary Computation, 2023 DOI:10.1109/TEVC.2022.3164260