Forecasting the incidence of dengue fever in Malaysia: A comparative analysis of seasonal ARIMA, dynamic harmonic regression, and neural network models

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Forecasting the incidence of dengue fever in Malaysia: A comparative analysis of seasonal ARIMA, dynamic harmonic regression, and neural network models

Currently, no vaccines or specific treatments are available to treat or prevent the increasing incidence of dengue worldwide. Therefore, an accurate prediction model is needed to support the anti -dengue control strategy. The primary objective of this study is to develop the most accurate model to p...

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Bibliographic Details
Published in:	INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES
Main Authors:	Mustaffa, Nurakmal Ahmad; Zahari, Siti Mariam; Farhana, Nor Alia; Nasir, Noryanti; Azil, Aishah Hani
Format:	Article
Language:	English
Published:	INST ADVANCED SCIENCE EXTENSION 2024
Subjects:	Science & Technology - Other Topics
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001200755500005

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