The geographic distribution patterns of HIV-, HCV- and co-infections among drug users in a national methadone maintenance treatment program in Southwest China

BMC Infectious Diseases

Qing-Wu Jiang³  Xiu-Xia Song³  Qiang Liao¹  Ai-Hui Yang³  Lei Nan¹  Shi-Jiao Nie³  Yu-Han Gong¹  Qi-Xing Wang¹  Song Liang²  Yi-Biao Zhou³ 

[1] Center for Disease Prevention and Control of Liangshan Prefecture, Sichuan, China;Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA;Tropical Disease Research Center, Fudan University, 138 Yi Xue Yuan Road, Shanghai 200032, China

关键词: Geographic scan statistic;    Geographic autocorrelation analysis;    Geographic distribution;    Co-infection;    HCV;    HIV;   

Others  :  1134380
DOI  :  10.1186/1471-2334-14-134

 received in 2013-08-17, accepted in 2014-03-04,  发布年份 2014

【 摘 要 】

Background

HIV-, HCV- and HIV/HCV co-infections among drug users have become a rapidly emerging global public health problem. In order to constrain the dual epidemics of HIV/AIDS and drug use, China has adopted a methadone maintenance treatment program (MMTP) since 2004. Studies of the geographic heterogeneity of HIV and HCV infections at a local scale are sparse, which has critical implications for future MMTP implementation and health policies covering both HIV and HCV prevention among drug users in China. This study aimed to characterize geographic patterns of HIV and HCV prevalence at the township level among drug users in a Yi Autonomous Prefecture, Southwest of China.

Methods

Data on demographic and clinical characteristics of all clients in the 11 MMTP clinics of the Yi Autonomous Prefecture from March 2004 to December 2012 were collected. A GIS-based geographic analysis involving geographic autocorrelation analysis and geographic scan statistics were employed to identify the geographic distribution pattern of HIV-, HCV- and co-infections among drug users.

Results

A total of 6690 MMTP clients was analyzed. The prevalence of HIV-, HCV- and co-infections were 25.2%, 30.8%, and 10.9% respectively. There were significant global and local geographic autocorrelations for HIV-, HCV-, and co-infection. The Moran’s I was 0.3015, 0.3449, and 0.3155, respectively (P < 0.0001). Both the geographic autocorrelation analysis and the geographic scan statistical analysis showed that HIV-, HCV-, and co-infections in the prefecture exhibited significant geographic clustering at the township level. The geographic distribution pattern of each infection group was different.

Conclusion

HIV-, HCV-, and co-infections among drug users in the Yi Autonomous Prefecture all exhibited substantial geographic heterogeneity at the township level. The geographic distribution patterns of the three groups were different. These findings imply that it may be necessary to inform or invent site-specific intervention strategies to better devote currently limited resource to combat these two viruses.

【 授权许可】

   
2014 Zhou et al.; licensee BioMed Central Ltd.

【 图 表 】

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