Predicting the number of visceral leishmaniasis cases in Kashgar, Xinjiang, China using the ARIMA-EGARCH model

Predicting the number of visceral leishmaniasis cases in Kashgar, Xinjiang, China using the ARIMA-EGARCH model

Objective: To forecast the visceral leishmaniasis cases using autoregress integrated moving average (ARIMA) and hybrid ARIMA-EGARCH model, which offers a scientific basis to control visceral leishmaniasis spread in Kashgar Prefecture of Xinjiang, China. Methods: The data used in this paper are month...

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Bibliographic Details
Main Authors: Hu-ling Li, Rong-jiong Zheng, Qiang Zheng, Wei Jiang, Xue-liang Zhang, Wei-ming Wang, Xing Feng, Kai Wang, Xiao-bo Lu
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Asian Pacific Journal of Tropical Medicine
Subjects:
visceral leishmaniasis; arima model; hybrid arima-egarch; forecasting
Online Access:http://www.apjtm.org/article.asp?issn=1995-7645;year=2020;volume=13;issue=2;spage=81;epage=90;aulast=Li

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