Proportions and correlates of recent HIV infections among newly reported HIV/AIDS cases from 2005 through 2009 in Dehong prefecture, Yunnan province
10.3760/cma.j.issn.0254-6450.2010.11.002
- VernacularTitle:云南省德宏州2005-2009年新报告HIV-1感染者中新近感染比例及其影响因素分析
- Author:
Ji-Bao WANG
1
;
Yue-Cheng YANG
;
Song DUAN
;
Yan-Ling LI
;
Jin YANG
;
Li-Fen XIANG
;
Run-Hua YE
;
Yu-Rong GONG
;
Jie GAO
;
Min-Jie WANG
;
Sheng SHEN
;
Yao XIAO
;
Fei TIAN
;
Yan JIANG
;
Na HE
Author Information
1. 云南省德宏傣族景颇族自治州疾病预防控制中心
- Keywords:
HIV/AIDS cases;
Recent HIV infections;
Correlates
- From:
Chinese Journal of Epidemiology
2010;31(11):1210-1214
- CountryChina
- Language:Chinese
-
Abstract:
Objective To determine the proportions and correlates of recent HIV infections among newly reported HIV/AIDS cases from 2005 through 2009 in Dehong prefecture, Yunnan province. Methods All available serum samples of newly reported HIV/AIDS cases during 2005-2009 period in Dehong prefecture, were tested using the BED HIV incidence capture enzyme immunoassay (BED-CEIA). Results A total of 9367 HIV/AIDS cases were newly reported in 2005through 2009, of whom 7252 (77.4%) were tested with BED-CEIA. Among the tested, 954 (13.2%)were positive for BED-CEIA and were regarded as recent HIV infections. The proportion of recent HIV infection among newly reported HIV/AIDS cases was 11.21% in 2005, 11.87% in 2006, 17.55%in 2007, 13.22% in 2008, and 12.22% in 2009. Multiple logistic regression analysis indicated that the proportion of recent HIV infections among newly reported HIV/AIDS cases in 2009 was significantly higher among females, those aged 11-19 years, and internal residents outside of Dehong prefecture,but significantly lower among immigrants who were mostly from Myanmar, than local residents.Conclusion From 2005 to 2009, the proportion of recent HIV infections among newly reported HIV/AIDS cases in Dehong prefecture in Yunnan province was fluctuating slightly. Future research is needed to examine its long-term and secular trend. Such proportion was significantly different by different sociodemographic characteristics.
