Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model
Joint Authors
Wang, Lulu
Liang, Chen
Wu, Wei
Wu, Shengwen
Yang, Jinghua
Lu, Xiaobo
Cai, Yuan
Jin, Cuihong
Source
Canadian Journal of Infectious Diseases and Medical Microbiology
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Objective.
This study aimed to investigate the specific epidemiological characteristics and epidemic situation of brucellosis in Jinzhou City of China so as to establish a suitable prediction model potentially applied as a decision-supportive tool for reasonably assigning health interventions and health delivery.
Methods.
Monthly morbidity data from 2004 to 2013 were selected to construct the autoregressive integrated moving average (ARIMA) model using SPSS 13.0 software.
Moreover, stability analysis and sequence tranquilization, model recognition, parameter test, and model diagnostic were also carried out.
Finally, the fitting and prediction accuracy of the ARIMA model were evaluated using the monthly morbidity data in 2014.
Results.
A total of 3078 cases affected by brucellosis were reported from January 1998 to December 2015 in Jinzhou City.
The incidence of brucellosis had shown a fluctuating growth gradually.
Moreover, the ARIMA(1,1,1)(0,1,1)12 model was finally selected among quite a few plausible ARIMA models based upon the parameter test, correlation analysis, and Box–Ljung test.
Notably, the incidence from 2005 to 2014 forecasted using this ARIMA model fitted well with the actual incidence data.
Notably, the actual morbidity in 2014 fell within the scope of 95% confidence limit of values predicted by the ARIMA(1,1,1)(0,1,1)12 model, with the absolute error between the predicted and the actual values in 2014 ranging from 0.02 to 0.74.
Meanwhile, the MAPE was 19.83%.
Conclusion.
It is suitable to predict the incidence of brucellosis in Jinzhou City of China using the ARIMA(1,1,1)(0,1,1)12 model.
American Psychological Association (APA)
Wang, Lulu& Liang, Chen& Wu, Wei& Wu, Shengwen& Yang, Jinghua& Lu, Xiaobo…[et al.]. 2019. Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model. Canadian Journal of Infectious Diseases and Medical Microbiology،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1129995
Modern Language Association (MLA)
Wang, Lulu…[et al.]. Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model. Canadian Journal of Infectious Diseases and Medical Microbiology No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1129995
American Medical Association (AMA)
Wang, Lulu& Liang, Chen& Wu, Wei& Wu, Shengwen& Yang, Jinghua& Lu, Xiaobo…[et al.]. Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model. Canadian Journal of Infectious Diseases and Medical Microbiology. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1129995
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129995