Predicting cutaneous leishmaniasis using SARIMA and Markov switching models in Isfahan, Iran: A time-series study

Predicting cutaneous leishmaniasis using SARIMA and Markov switching models in Isfahan, Iran: A time-series study

Objective: To determine the potential effect of environment variables on cutaneous leishmaniasis occurrence using time-series models and compare the predictive ability of seasonal autoregressive integrated moving average (SARIMA) models and Markov switching model (MSM). Methods: This descriptive stu...

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Bibliographic Details
Main Authors: Vahid Rahmanian, Saied Bokaie, Aliakbar Haghdoost, Mohsen Barouni
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Asian Pacific Journal of Tropical Medicine
Subjects:
leishmaniasis; climate factor; time series analysis; forecasting; iran
Online Access:http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=2;spage=83;epage=93;aulast=Rahmanian

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http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=2;spage=83;epage=93;aulast=Rahmanian

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