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CN 34-1304/RISSN 1674-3679

Volume 23 Issue 10
Oct.  2019
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YE Hong, CHANG Zhong-bao, TONG Lin, YU Juan-ping, ZHANG Shuang, WANG Qian-qian, LI Xiao-hua, XU Qing-hua. The analysis of Human Papillomavirus infection and subtype distribution in 8 744 females in Anhui Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(10): 1273-1278. doi: 10.16462/j.cnki.zhjbkz.2019.10.022
Citation: YE Hong, CHANG Zhong-bao, TONG Lin, YU Juan-ping, ZHANG Shuang, WANG Qian-qian, LI Xiao-hua, XU Qing-hua. The analysis of Human Papillomavirus infection and subtype distribution in 8 744 females in Anhui Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(10): 1273-1278. doi: 10.16462/j.cnki.zhjbkz.2019.10.022

The analysis of Human Papillomavirus infection and subtype distribution in 8 744 females in Anhui Province

doi: 10.16462/j.cnki.zhjbkz.2019.10.022
Funds:

National Natural Science Foundation of China 31372417

Research Project of Health Commission of Anhui Province 2018YK003

Key Training Specicdites in the 13 th Five-Year Plan of Anhui Province Anhui Sci Edu. No. 30(2017)

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  • Corresponding author: XU Qing-hua, E-mail: xqh1126@sina.com
  • Received Date: 2019-05-10
  • Rev Recd Date: 2019-07-18
  • Publish Date: 2019-10-10
  •   Objective  To investigate the genotypes of Human Papillomavirus (HPV) infection and distribution characteristics of women in Anhui, and to provide reference for HPV molecular epidemiology research and promotion of vaccine in Anhui.  Methods  The flowcytometry fluorescence hybridization method were used to eaxm 8 744 samples of women HPV Subtype.  Results  The high-risk and low-risk infection rate of HPV were 16.10% and 6.38% respectively. The rate of single and multiple subtype were 13.85% and 5.58% respectively. HPV positive detectable rates were higher in HPV16, HPV52 and HPV58, HPV16 was the highest. The defection rate was significantly different among southern, central and northern in Anhui (χ2=13.790, P=0.008). The infection rates of high risk subtype 51 and 56 in northern were higher than those in the other two regions, and the difference was statistically significant (χ2=17.323, P < 0.001; χ2=9.643, P=0.008). Age distribution results showed that the age group with high infection rate was 10-age group (37.50%), 20-age group (23.19%) and ≥ 60 age group (22.16%), and the difference was statistically significant (χ2=61.855, P < 0.001). The infection rates of HPV subtypes in different years were significantly different (χ2=59.479, P < 0.001). The infection rate was the highest in 2015.  Conclusions  The high risk and single genotypes of infection were dominant in Anhui. HPV positive detectable rates were higher in HPV16, HPV52 and HPV58. There was significant difference in different regions (all P < 0.05) and there were some subtypes with higher infection rates. The age distribution of HPV infection showed a trend of high in youngest and oldest group and low in the middle. The infection rate in different years showed a downward trend year by year.
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