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Predictive Study of Tuberculosis Incidence by ARMA Model Combined with Air Pollution Variables
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
China has the second largest number of tuberculosis (TB) cases in the world, and the Xinjiang province has the highest TB incidence in China.
Urumqi is the capital city of Xinjiang; good TB prevention and control in Urumqi can provide an example for other parts of Xinjiang, considering that predicting the TB incidence is the prerequisite of prevention and control; therefore, it is necessary to do a prediction study on TB incidence in Urumqi.
In this paper, based on the data of TB incidence and air pollution variables (PM2.5, PM10, SO2, CO, NO2, O3) in Urumqi, the ARMA (1, (1, 3)) + model was established by time series ARMA model method, cross-correlation analysis, and principal component regression method, and its predictive performance was superior to that of the ARMA (1, (1, 3)) model based on TB historical data.
The research idea of this paper was good, which can provide a reference for other researchers.
The prediction of the ARMA (1, (1, 3)) + model can provide scientific help for TB prevention and control in Urumqi, China.
During the analysis, it was found that the higher the concentration of O3, the higher the incidence of TB.
This study suggests that people in Urumqi should pay more attention to the hazards of O3 and do a good job of personal protection.
American Psychological Association (APA)
Zheng, Yanling. 2020. Predictive Study of Tuberculosis Incidence by ARMA Model Combined with Air Pollution Variables. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1141549
Modern Language Association (MLA)
Zheng, Yanling. Predictive Study of Tuberculosis Incidence by ARMA Model Combined with Air Pollution Variables. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1141549
American Medical Association (AMA)
Zheng, Yanling. Predictive Study of Tuberculosis Incidence by ARMA Model Combined with Air Pollution Variables. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1141549
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141549