首页 | 本学科首页   官方微博 | 高级检索  
     


Evaluation of an artificial neural network to ascertain why there is a high incidence of hepatitis B in the Chinese population after vaccination
Authors:Wang Hongfei  Zhao Yunyan  Yan Fei  Liu Hui
Affiliation:1. Library of Dalian Medical University, China;2. Department of Clinical Immunology, Dalian Medical University, Dalian 116044, China
Abstract:

Objective

The purpose of the study was to understand why there is a high incidence of hepatitis B, including acute and chronic infections, after vaccination.

Methods

All data were obtained from the published information. The incidence of hepatitis B, life expectancy, and positive rates of hepatitis B surface antigen (HBsAg) and the antibody to HBsAg (anti-HBs) in a specific observation year was depicted. The relationships between the HBsAg-positive rate, anti-HBs-positive rate, life expectancy and incidence of hepatitis B were assessed by Pearson’s correlation. The quantitative effects of HBsAg-positive rate, anti-HBs-positive rate and life expectancy on hepatitis B incidence were assessed by SPSS 18.0 software with a neural network.

Results

There was no correlation between hepatitis B incidence and the rates of HBsAg or anti-HBs (r=−0.334 for HBsAg, r=0.247 for anti-HBs, p>0.05 for both indicators). A clear correlation was observed between incidence and life expectancy (r=0.841, p<0.05). The standardized percentage of affect of life expectancy on hepatitis B incidence (100%) was much higher than that of either the rates of HBsAg (59.0%) or anti-HBs (45.7%).

Conclusion

An increase in life expectancy and an improved quality of life may be associated with a higher incidence of hepatitis B. Because hepatitis B is caused by the host immune response, a stronger immune response in individuals with an improved quality of life could contribute to that higher incidence.
Keywords:Artificial neural network   Hepatitis B   Incidence   Vaccine
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号