Table of Contents Author Guidelines Submit a Manuscript
Canadian Journal of Infectious Diseases and Medical Microbiology
Volume 2019, Article ID 1429462, 9 pages
https://doi.org/10.1155/2019/1429462
Research Article

Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model

1Department of Toxicology, School of Public Health, China Medical University, Shenyang 110122, China
2Jinzhou Centre for Disease Control and Prevention, No. 8-35, Section I, Jiefang Road, Jinzhou 121000, China
3Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China

Correspondence should be addressed to Cuihong Jin; nc.ude.umc@nijhc

Received 21 January 2019; Revised 12 April 2019; Accepted 8 May 2019; Published 13 June 2019

Academic Editor: José A. Oteo

Copyright © 2019 Lulu Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. L. Xiao, The Manual of Brucellosis Control, People’s Medical Publishing House, Beijing, China, 2008.
  2. X. G. Shi, “The developments of brucellosis research,” Zhejiang Journal of Preventive Medicine, vol. 26, no. 6, p. 576, 2014. View at Google Scholar
  3. J. D. Mao, J. L. Wang, and Y. L. Yang, “The developments in brucellosis research,” China Animal Husbandry & Veterinary Medicine, vol. 38, no. 1, p. 222, 2011. View at Google Scholar
  4. H. Muflihanah, M. Hatta, E. Rood, P. Scheelbeek, T. H. Abdoel, and H. L. Smits, “Brucellosis seroprevalence in Bali cattle with reproductive failure in South Sulawesi and Brucella abortus biovar 1 genotypes in the Eastern Indonesian archipelago,” BMC Veterinary Research, vol. 9, no. 1, p. 233, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. World Health Organization, Brucellosis in Humans and Animals, World Health Organization, Geneva, Switzerland, 2006.
  6. Y. W. Sun, L. L. Mao, X. Li et al., “The epidemiological characteristics of brucellosis in Liaoning province from 2001 to 2011,” Chinese Journal of Vector Biology and Control, vol. 23, no. 3, pp. 268-269, 2012. View at Google Scholar
  7. H. S. Lee, M. Her, M. Levine, and G. E. Moore, “Time series analysis of human and bovine brucellosis in South Korea from 2005 to 2010,” Preventive Veterinary Medicine, vol. 110, no. 2, pp. 190–197, 2013. View at Google Scholar
  8. Y. F. Bai, “The analysis of time series ARIMA model on brucellosis in Shanxi province,” Disease Surveillance, vol. 26, no. 8, pp. 647–650, 2011. View at Google Scholar
  9. W. Z. Yang and H. Z. Wang, “Infectious disease forecasting,” Journal of Preventive Medicine Information, vol. 20, no. 6, pp. 639–642, 2004. View at Google Scholar
  10. L. Qi, The Analysis of Epidemiologic Feature of Influenza and the Application of ARIMA Model in Infectious Disease Forecasting in Chongqing from 2004 to 2006, Chongqing Medical University, Chongqing, China, 2007.
  11. J. B. Wu, “The application of ARIMA model in infectious disease forecasting,” Journal of Mathematical Medicine, vol. 20, no. 1, pp. 90–92, 2007. View at Google Scholar
  12. L. Yang, Z.-W. Bi, Z.-Q. Kou et al., “Time-series analysis on human brucellosis during 2004-2013 in Shandong province, China,” Zoonoses and Public Health, vol. 62, no. 3, pp. 228–235, 2015. View at Publisher · View at Google Scholar · View at Scopus
  13. S. L. Ding, J. Q. Kang, and J. Z. Wang, “The application of ARIMA model in incidence forecasting,” Chinese Journal of Hospital Statistics, vol. 10, no. 1, pp. 23–26, 2003. View at Google Scholar
  14. S. L. Jiang, B. Y. Cui, Z. H. Su et al., “The investigation report about the prevention and control of brucellosis in China,” Chinese Journal of Control of Endemic Diseases, vol. 21, no. 6, pp. 3–6, 2006. View at Google Scholar
  15. K. P. Acharya, N. Niroula, and K. Kaphle, “Overview of brucellosis in Nepal,” Epidemiology and Health, vol. 38, Article ID e2016042, 2016. View at Publisher · View at Google Scholar
  16. L. Wen, D. Z. Xu, H. M. Lin et al., “The application of time series model in prediction of malaria incidence in malaria area,” Journal of the Fourth Military Medical University, vol. 25, no. 6, pp. 507–510, 2004. View at Google Scholar
  17. Y. Zuo, X. L. Gao, and X. Y. Zhang, “The epidemic analysis of human brucellosis in Jinzhou from 1999 to 2006,” Chinese Journal of Control of Endemic Diseases, vol. 24, no. 3, pp. 209-210, 2009. View at Google Scholar
  18. Y. Zhao, “The application research of ARIMA model and control chart method on prediction of swine lung disease,” Northeast Agricultural University, Haerbin, China, 2013. View at Google Scholar
  19. Y. Q. Zhang, G. L. Tang, W. C. Wang et al., “The application of ARIMA model on incidence prediction of tuberculosis,” Modern Preventive Medicine, vol. 35, no. 9, pp. 1608–1610, 2008. View at Google Scholar
  20. H. Pan, Y. Zheng, H. Y. Wu et al., “ARIMA model used in incidence trend forecasting of hand-foot-and-mouth disease in Shanghai,” Journal of Preventive Medicine Information, vol. 27, no. 6, pp. 408–411, 2011. View at Google Scholar
  21. C. Chen, X. Tian, J. H. Zhou et al., “The time series modeling and application of epidemic trend of mumps,” Chinese Journal of Public Health, vol. 28, no. 2, pp. 252-253, 2012. View at Google Scholar
  22. Z. D. Yin, H. M. Luo, Y. X. Li et al., “The application of ARIMA model on prediction of epidemic encephalitis B,” Chinese Journal of Vaccines and Immunization, vol. 16, no. 5, pp. 457–461, 2010. View at Google Scholar
  23. S. Y. An, Z. Zhao, J. Q. Guo et al., “The application of time series model in measles incidence prediction in Liaoning province,” Chinese Journal of Health Statistics, vol. 31, no. 5, pp. 781–783, 2014. View at Google Scholar
  24. Z. Q. Sun, Medical Statistics, Hope Electronic Publishing House, Beijing, China, 2002.