Time Series Analysis in Modeling of Hepatitis B Incidence

  • Hua ZHANG Department of Medical Insurance, School of Public Health, Southeast University, Nanjing, Jiangsu, China 2. Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
  • Mingdong HUO Zhongda Hospital Affiliated to Southeast University, Nanjing, Jiangsu, China
  • Yao TONG Department of Medical Insurance, School of Public Health, Southeast University, Nanjing, Jiangsu, China
  • Pei LIU Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China and Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China
Keywords: No keywords###

Abstract

No Abstract###

References

1. Sehr MA, Joshi KD, Fontanesi JM et al (2017). Markov modeling in hepatitis B screening and linkage to care. Theor Biol Med Model, 14: 11.
2. Chen G, Joan MB, Alison AE et al (2014). Gateway to Care campaign: a public health initiative to reduce the burden of hepatitis B in Haimen City, China. BMC Public Health, 14:754.
3. Heesterbeek H, Anderson RM, Andreasen V, et al (2015). Modeling infectious disease Dynamics in the complex landscape of global health. Science, 347(6227):aaa4339.
4. Osei F B, Duker AA, Stein A (2012). Bayesian structured additive regression modeling of epidemic data: application to cholera. BMC Med Res Methodol, 12:118.
Published
2019-03-12
How to Cite
1.
ZHANG H, HUO M, TONG Y, LIU P. Time Series Analysis in Modeling of Hepatitis B Incidence. Iran J Public Health. 48(3):554-555.
Section
Letter to the Editor