Time Prediction Models for Echinococcosis Based on Gray System Theory and Epidemic Dynamics
Liping Zhang,
Li Wang,
Yanling Zheng,
Kai Wang,
Xueliang Zhang and
Yujian Zheng
Additional contact information
Liping Zhang: College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China
Li Wang: College of Public Health, Xinjiang Medical University, Urumqi 830011, China
Yanling Zheng: College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China
Kai Wang: College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China
Xueliang Zhang: College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China
Yujian Zheng: College of Public Health, Xinjiang Medical University, Urumqi 830011, China
IJERPH, 2017, vol. 14, issue 3, 1-14
Abstract:
Echinococcosis, which can seriously harm human health and animal husbandry production, has become an endemic in the Xinjiang Uygur Autonomous Region of China. In order to explore an effective human Echinococcosis forecasting model in Xinjiang, three grey models, namely, the traditional grey GM(1,1) model, the Grey-Periodic Extensional Combinatorial Model (PECGM(1,1)), and the Modified Grey Model using Fourier Series (FGM(1,1)), in addition to a multiplicative seasonal ARIMA(1,0,1)(1,1,0) 4 model, are applied in this study for short-term predictions. The accuracy of the different grey models is also investigated. The simulation results show that the FGM(1,1) model has a higher performance ability, not only for model fitting, but also for forecasting. Furthermore, considering the stability and the modeling precision in the long run, a dynamic epidemic prediction model based on the transmission mechanism of Echinococcosis is also established for long-term predictions. Results demonstrate that the dynamic epidemic prediction model is capable of identifying the future tendency. The number of human Echinococcosis cases will increase steadily over the next 25 years, reaching a peak of about 1250 cases, before eventually witnessing a slow decline, until it finally ends.
Keywords: echinococcosis; grey system theory; grey forecasting model; dynamic epidemic model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/1660-4601/14/3/262/pdf (application/pdf)
https://www.mdpi.com/1660-4601/14/3/262/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:14:y:2017:i:3:p:262-:d:92157
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().